Software Development Engineer jobs at Nextdoor - 3483 jobs

Multiply Labs is a cutting‑edge startup based in San Francisco, California, supported by top‑tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. Our mission is to build the best robots in the world, and use them to make the most advanced life‑saving therapies accessible to all. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life‑saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time‑consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at ******************** and follow us on LinkedIn. About the Role As a Senior Robotics Test Engineer, you will be a key technical leader responsible for ensuring the reliability and precision of the robotics software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you will build the infrastructure that validates our technology before it is deployed to our cell therapy manufacturing systems. This role is for a detail‑oriented, senior engineer who can understand system‑level tradeoffs and is passionate about building robust automated testing frameworks that directly impact patient lives. Responsibilities Include Test Infrastructure & Development: Collaborating with hardware and software teams to standardize testing across the organization. You will design the testing architecture and infrastructure, build automated frameworks, and maintain the comprehensive test suites (automated and manual) that validate our robotics software and firmware. Subsystem Validation: Leading the planning and validation of new subsystems. You will work closely with hardware teams to test prototypes, compile data, and execute on feedback to drive design improvements. System Integration: Partnering with Hardware, Software, and Field Engineering to plan and execute full‑system integration tests within our manufacturing clusters. Debugging & Issue Resolution: Investigating, reproducing, and resolving errors across the full system. You will collaborate with Field Engineering to triage failures, analyze logs to identify root causes, and validate fixes through targeted testing to ensure continuous operation. Quality Assurance & Strategy: Contributing to test planning, documentation, and reliability metrics to ensure the scalability and long‑term stability of our automated systems. Qualifications Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related discipline. 5+ years of professional experience in software test engineering, specifically within robotics or complex electromechanical systems. Strong expertise in Python and experience building automated test frameworks from scratch. Proven experience planning and validating new subsystems with a detail‑oriented mindset. Ability to understand and navigate complex system‑level tradeoffs between hardware constraints and software flexibility. Excellent communication and collaboration skills to work effectively across hardware and software teams. Nice to Haves Experience with project management tools (e.g., Jira) to align cross‑functional teams and drive testing milestones. Hands‑on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo) for automated testing. Experience working in a regulated industry (e.g., GxP, ISO standards). Physical & Working Conditions Ability to reach, stoop, crouch, and kneel; this specifically includes the need to physically enter, stand, or crouch inside a robotic cluster for testing, debugging, or manual intervention. Ability to lift up to 25 pounds (e.g., test fixtures, replacement parts, tools) and lift up to 5 pounds overhead. Manual dexterity required for using hand tools, cabling, and making mechanical adjustments. Work is split between a standard office setting and a manufacturing/lab area. When working in the manufacturing area, adherence to safety protocols and awareness of surroundings is required. Occasional proximity to hazardous materials (e.g., biological agents, cryogenic materials) may occur during specific cell testing validation phases, though direct handling is rare. Ability to wear Personal Protective Equipment (PPE), including lab coats, safety glasses, and gloves, when accessing specific lab or manufacturing zones. This role generally follows a standard schedule but may necessitate occasional evening or weekend work to support critical cluster integration milestones or time‑sensitive troubleshooting. Benefits 401K with 4% company match Health Insurance Dental Insurance Vision Insurance Life Insurance Partial Health Insurance for Child Dependents HSA or FSA Twice weekly catered lunch (for team members in SF office) Pre‑tax Commuter Benefit 10 Paid Holidays Flexible PTO Paid Parental Leave Multiply Labs will review the benefit offerings periodically and the benefit options are subject to change to meet employee and business needs. Travel While our headquarters is located in San Francisco, CA, this position will require up to 5-10% domestic and international travel. $140,000 - $180,000 a year Multiply Labs is an early‑stage startup where equity is a major part of the compensation package. Closing We take pride in cultivating an environment that fosters collaboration, open communication, and authenticity. We are an equal opportunity employer; we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are diverse in background and singular in mission. #J-18808-Ljbffr

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the SDM of Software Development for the Machine Learning Distributed Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. Responsible for the full development life cycle of our integrations and extensions for inference and training support in Pytorch, XLA, JAX as well as distributed training libraries like FSDP, DDP and others. Includes enabling models using MoE architectures and future newer architectures. Lead the way to ensure support for key ML functionality in a combined chip / software platform Ensure the right thing is being built and delivered to customers Key job responsibilities Our engineers and managers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll also: Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. Build high-quality, highly available, always-on products. Research implementations that deliver the best possible experiences for customers. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices. Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn't necessary. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Experience partnering with product or program management teams - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - 3+ Years of Deep Learning/Machine learning experience PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The MLA Technology team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and view the software to drive these technologies as the deliverable. Do you like hacking memory using PCIe expansion cards? Great! Do you read data sheets like others read the news? Great! Done some embedded programming? Great! Messed with FPGAs? Great! Hacked your autonomous vacuum cleaner? Great! Let the magic smoke out once or twice? Didn't we all ... Did this make you smile? Awesome. Our team writes software focused on hardware for the most advanced servers in the world. If that interests you, come join our team! Key job responsibilities - Members of the team are responsible for software related to machine learning hardware at all points in the hardware life cycle. - Working with silicon design and hardware design teams across EC2 - Developing software which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Technology team was formed to focus on server software primarily for debug, testing, qualification, and manufacturing. No software is too low level for us. No software is too high level for us. At a high-level our goal is to find ways to help the organization scale though the use of software and automation as it relates to specific hardware technologies. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience writing low level drivers, or experience with general troubleshooting/debugging of hardware Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

About the Role We're looking for exceptional engineers to help build one of the most transformative applications of AI: using ChatGPT to expand economic opportunity at scale. This is a unique chance to work at the intersection of agents, search/matching, personalization, UX, and real-world economic impact and building AI products that directly change people's lives. Millions already turn to ChatGPT for career help, but the job market is stuck in static résumés, keyword search, and opaque hiring. We're building something different: a career agent that understands your skills, helps you prove them through certifications, and works nonstop to unlock opportunities - leading to a network where worker and employer agents match on real capabilities, not job boards. In this role, you will: Own major product surfaces end-to-end to build the next-generation AI-powered jobs platform Design and ship core systems for matching, candidate verification, skills representation, and workflow automation Work with research to turn new model and agent capabilities into production features that help users prove skills, certify expertise, and find great opportunities Build high-trust, scalable systems that support millions of job seekers and employers Run experiments, talk to users, and iterate quickly to identify what drives successful outcomes, not clicks or resumes Work closely with product, design, research, and ops to create human-centered experiences powered by AI Optimize for speed, reliability, and security, ensuring a trusted platform for economic mobility You may be a good fit if you have: 5+ years of software engineering experience building highly-available user-facing products Experience working across the stack (frontend + backend) and comfort owning features end-to-end Passion for marketplaces, matching systems, or search/personalization, even if you haven't built one before Interest in AI-driven UX, agents, and workflow automation (direct ML experience not required) Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We\'re looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Responsibilities Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. Work on simulations to inform our future supercomputer network designs. Qualifications Have written distributed algorithms using RDMA in the past. Are comfortable writing low level performance sensitive CPU and/or GPU code. Are familiar with network simulation techniques. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $555K #J-18808-Ljbffr

Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Collaborate with development teams to make the systems they design and operate more reliable. Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment. Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. Implement fault-tolerant and resilient design patterns to minimize service disruptions. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability. You might thrive in this role if you: Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems. Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management. Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services. Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Proven experience as an reliability engineer or a similar role in a fast-paced, rapidly scaling company. Strong proficiency in cloud infrastructure. Proficiency in programming/scripting languages. Experience with containerization technologies and container orchestration platforms like Kubernetes. Knowledge of IaC tools such as Terraform or CloudFormation. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack. Experience with microservices architecture and service mesh technologies. Knowledge of security best practices in cloud environments. This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioral change. We are on a mission to inspire and engage people in lifelong health, one step at a time. We are looking for a software engineer to help drive us forward in achieving that goal. Great software is the key to providing effective care at scale. We hire passionate, creative people and give them the autonomy to do great work. Our software engineers are comfortable dealing with high-level specifications, working independently and in small teams, and are heavy contributors in the product process from idea to production. About you: You work with empathy for your coworkers, stakeholders and users. You are excited to work cross-functionally with a variety of people and ideas. You work directly with stakeholders to design solutions and drive the technical decisions for delivery. You proactively keep up with technology trends and can assess technical trade-offs between solutions across service boundaries. You care about writing quality software and recognize that there are often many right answers. You are excited about the challenge of learning new technologies and context. You are enthusiastic about providing the best possible care for our members. What you'll be doing: Work with product managers, designers and a diverse group of talented engineers to build the mobile applications (Android) our members rely on for world class digital healthcare. Dedicate 80-90% of your time to hands-on coding, serving as a technical leader and mentor to junior engineers by solving challenging programming and design problems. Lead large projects by anticipating infrastructure and architectural needs, and propose innovative AI solutions to complex problems. Use your experience to influence and shape the future direction of projects and technologies, working collaboratively to adopt and advocate for new technological advancements. Collaborate with product managers, designers, and a diverse team of skilled engineers to develop mobile applications (Android) that enhance the user experience for our members. Play a critical role in the full agile software development life cycle, from conception to deployment including architecture, design, and development. Writing clean and well-tested code that allows us to keep our applications stable and easily modifiable. Drive the resolution of complex problems without a lot of direction. Lead large projects, anticipating infrastructure and architectural needs before they arise. Research, adopt and advocate for new technologies. What you need for this role: 3-5 years of working experience in Android product development Experience in building scalable and maintainable app architectures Strong command of Kotlin with an understanding of its features and best practices. Strong understanding of multi-threading and asynchronous programming Experience with Android frameworks like Knowledge of design patterns like MVVM, MVC and the ability to implement them Experience with Android unit and UI testing frameworks Familiarity with CI/CD pipelines and tools like Jenkins, GitLab CI, or CircleCI. Experience with the app submission process, app signing, and review guidelines. Curiosity and care more about solving problems than being right Excellent communication and collaboration skills (verbal and written) Technologies we use: Kotlin, Java, Espresso, JUnit, Jetpack Compose, Retrofit, Room DB, Ruby on Rails, React, AWS (RDS with PostgreSQL, SQS, S3), GraphQL, Docker, Kubernetes Benefits: Competitive salary with generous annual cash bonus Equity Grants Remote first work from home culture Flexible vacation to help you rest, recharge, and connect with loved ones Generous parental leave Health, dental, and vision insurance (and above market employer contributions) 401k retirement savings plan Lifestyle Spending Account (LSA) Mental Health Support Solutions ...and more! It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada! Cultivate Trust. We actively cultivate trust through attentive listening and supporting one another. We respectfully provide and are open to receiving candid feedback. Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road. Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers. Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work. Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together. Remember Why We're Here. We push through the challenges of changing health care because we know the destination is worth it. About Omada Health: Omada Health is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. Omada's multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale. With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada's approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms. For more information, visit: Omada is thrilled to share that we've been certified as a Great Place to Work! Please click here for more information. We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Below is a summary of salary ranges for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $147,200 - $184,000*, Colorado Base Compensation Ranges: $140,800 - $176,000*. Other states may vary. This role is also eligible for participation in annual cash bonus and equity grants. *The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations. Please click here for more information on our Candidate Privacy Notice.

Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioral change. We are on a mission to inspire and engage people in lifelong health, one step at a time. We are looking for a software engineer to help drive us forward in achieving that goal. Great software is the key to providing effective care at scale. We hire passionate, creative people and give them the autonomy to do great work. Our software engineers are comfortable dealing with high-level specifications, working independently and in small teams, and are heavy contributors in the product process from idea to production. About you: You work with empathy for your coworkers, stakeholders and users. You are excited to work cross-functionally with a variety of people and ideas. You work directly with stakeholders to design solutions and drive the technical decisions for delivery. You proactively keep up with technology trends and can assess technical trade-offs between solutions across service boundaries. You care about writing quality software and recognize that there are often many right answers. You are excited about the challenge of learning new technologies and context. You are enthusiastic about providing the best possible care for our members. What you'll be doing: Design and implement a blend of proprietary and third-party tools to enhance our sales, eligibility, and enrollment operations. Play a pivotal role in influencing business outcomes by refining existing methods or deploying new solutions, working closely with product and business collaborators. Contribute to the delivery of high-quality web application code, maintaining site stability through code reviews and writing unit and integration tests, while learning and applying best practices for architecture, system design, and coding standards. Spend the majority of your time on hands-on coding, with opportunities to learn from and collaborate with more experienced engineers to solve programming and design challenges. Leverage AI tools in your workflow across all aspects of the software development lifecycle. Collaborate with AI experts to integrate AI into existing systems, seeking their guidance to expand your knowledge and skills. Contribute your ideas and collaborate with the team to adopt new technologies, being open to learning and adapting to new technology advancements. Participate in our on-call rotation; triage and address reliability issues that come up in production, ensuring system stability and resolving critical problems as they arise. What you need for this role: 3-5 years of experience writing readable, tested, and efficient code Experience with Ruby or Python Experience with React or Vue Experience with relational databases (PostgreSQL, MySQL) Experience with designing scalable, maintainable and secure APIs Understanding of CI/CD pipelines Exposure to LLMs and GenAI best practices Familiarity with AI development tools such as Cursor or Copilot Understanding of cloud infrastructure (AWS preferred), and deployment tools (Kubernetes, Docker) Willingness to learn new tools, languages, workflows, and philosophies to grow Curiosity and care more about solving problems than being right Excellent communication and collaboration skills (verbal and written) Technologies we use: Ruby on Rails, React, AWS (RDS with PostgreSQL, SQS, S3), GraphQL, Docker, Kubernetes Benefits: Competitive salary with generous annual cash bonus Stock options Remote first work from home culture Flexible vacation to help you rest, recharge, and connect with loved ones Generous parental leave Health, dental, and vision insurance (and above market employer contributions) 401k retirement savings plan Lifestyle Spending Account (LSA) Mental Health Support Solutions ...and more! It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada! Cultivate Trust. We actively cultivate trust through attentive listening and supporting one another. We respectfully provide and are open to receiving candid feedback. Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road. Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers. Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work. Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together. Remember Why We're Here. We push through the challenges of changing health care because we know the destination is worth it. About Omada Health: Omada Health is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. Omada's multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale. With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada's approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms. For more information, visit: Omada is thrilled to share that we've been certified as a Great Place to Work! Please click here for more information. We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Below is a summary of salary ranges for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $147,200 - $184,000*, Colorado Base Compensation Ranges: $140,800 - $176,000*. Other states may vary. This role is also eligible for participation in annual cash bonus and equity grants. *The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations. Pleaseclick here for more information on our Candidate Privacy Notice.

Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioral change. We are on a mission to inspire and engage people in lifelong health, one step at a time. We are looking for a software engineer to help drive us forward in achieving that goal. Great software is the key to providing effective care at scale. We hire passionate, creative people and give them the autonomy to do great work. Our software engineers are comfortable dealing with high-level specifications, working independently and in small teams, and are heavy contributors in the product process from idea to production. About you: You work with empathy for your coworkers, stakeholders and users. You are excited to work cross-functionally with a variety of people and ideas. You work directly with stakeholders to design solutions and drive the technical decisions for delivery. You proactively keep up with technology trends and can assess technical trade-offs between solutions across service boundaries. You care about writing quality software and recognize that there are often many right answers. You are excited about the challenge of learning new technologies and context. You are enthusiastic about providing the best possible care for our members. What you'll be doing: Play a critical role in the full agile software development life cycle, from conception to deployment including architecture, design, and development. Writing clean and well-tested code that allows us to keep our applications stable and easily modifiable. Be a leader to the team by continuously identifying ways to improve, mentoring others, and removing ambiguity. Collaborate and influence others to shape future direction, based on your years of previous experience and technology research. Drive the resolution of complex problems without a lot of direction. Lead large projects, anticipating infrastructure and architectural needs before they arise. Research, adopt and advocate for new technologies. Leverage AI tools in your workflow across all aspects of the software development lifecycle. Lead large projects by anticipating infrastructure and architectural needs, and propose innovative AI solutions to complex problems. Collaborate with AI experts to integrate AI into existing systems, leveraging their guidance as necessary. Use your experience to influence and shape the future direction of projects and technologies, working collaboratively to adopt and advocate for new technological advancements. What you need for this role: 10+ years of experience writing readable, tested, and efficient code Experience with Ruby or Python Experience with a relational database (PostgreSQL, MySQL) Experience with designing scalable, maintainable and secure APIs Experience with CI/CD pipelines Familiarity with LLMs and GenAI best practices Familiarity with AI development tools such as Cursor or Copilot Familiarity with cloud infrastructure (AWS preferred), and deployment tools (Kubernetes, Docker) Understanding of logging, monitoring and telemetry Understanding of DevOps concepts and principles Interest in learning new tools, languages, workflows, and philosophies to grow Curiosity and care more about solving problems than being right Excellent communication and collaboration skills (verbal and written) Technologies we use: Ruby on Rails, React, AWS (RDS with PostgreSQL, SQS), GraphQL, Docker, Kubernetes Benefits: Competitive salary with generous annual cash bonus Equity Grants Remote first work from home culture Flexible vacation to help you rest, recharge, and connect with loved ones Generous parental leave Health, dental, and vision insurance (and above market employer contributions) 401k retirement savings plan Lifestyle Spending Account (LSA) Mental Health Support Solutions ...and more! It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada! Cultivate Trust. We actively cultivate trust through attentive listening and supporting one another. We respectfully provide and are open to receiving candid feedback. Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road. Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers. Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work. Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together. Remember Why We're Here. We push through the challenges of changing health care because we know the destination is worth it. About Omada Health: Omada Health is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. Omada's multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale. With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada's approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms. For more information, visit: Omada is thrilled to share that we've been certified as a Great Place to Work! Please click here for more information. We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Below is a summary of salary ranges for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $202,400 - $253,000*, Colorado Base Compensation Ranges: $193,600 - $242,000*. Other states may vary. This role is also eligible for participation in annual cash bonus and equity grants. *The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations. Pleaseclick here for more information on our Candidate Privacy Notice.

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: Work directly with customers to understand their problems and translate those into features in Scale's platform. Be open to >50% travel or relocation to a key customer geographic location. Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. Implement end-to-end data integrations, syncing customer's data to Scale's platform and back Deploy and maintain Scale software at customer sites Develop customer requested features and work closely with them to ensure that they win customer love. Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus. Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Linux experience: Understanding of shell scripting, operating systems, etc Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000-$292,560 USDThe base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$165,600-$263,304 USDThe base salary range for this full-time position in the location of Hawaii/St. Louis is:$138,000-$219,420 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Honolulu, Hawaii is:$138,000-$219,420 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. What You'll Do Own major full-stack product areas, driving features from design through production deployment. Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness. Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP. Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack. Ideal Experience 2+ years of full-time engineering experience, post-graduation working in a production environment. Strong experience developing full-stack applications using React, TypeScript, and Python. Experience scaling or shipping products at high-growth startups. Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome). Proficiency with SQL and modern API development. Experience with Kubernetes, containerization, and microservice architectures. Experience working with at least one major cloud provider (AWS, GCP, or Azure). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400-$224,250 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME's Person of the Year AI experience (see it in action), where our AI technology helped shape one of the most iconic features in media. You'll also contribute to Scale's GenAI Platform (SGP), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real-world applications. You Will: Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility Ideally, You Have: 5+ years of experience developing frontend or fullstack applications in a modern tech stack Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400-$310,500 USD . Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. Impact and Responsibilities: Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals. Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure. Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle. Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company. Ideally you'd have: 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems. Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. Experience with orchestration platforms, such as Temporal and AWS Step Functions. Experience with NoSQL document databases (MongoDB) and structured databases (Postgres). Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD). Nice to haves: Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). Experience scaling products at hyper-growth startups. Excitement to work with AI technologies. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborate with cross-functional teams to define, design, and deliver new features. Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers. Ideally you'd have: 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.). Show a track record of mentoring and leading teams in successful projects. Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings. Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems. Experience driving cross functional collaboration and communication at an organizational or broader level. Nice to haves: Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI). Experience with performance tuning and cost optimizations of cloud based data platforms. Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs. Experience scaling products at hyper-growth startups. Excitement to work with AI technologies. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov's mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com. Job Summary: The Staff Software Engineer is a key member of our engineering team, delivering new features and improvements in a fast-paced, agile environment using modern computing frameworks to drive our mission to make the world a little better everyday by powering our key community functions. Responsibilities: Provide leadership at tactical level with input into strategy and team leadership, and solve significant and unique problems where analysis requires an evaluation of intangibles Architect, design and develop robust APIs and microservices using Ruby on Rails & a modern EmberJS/React UI to serve over 100k daily users across hundreds of customer communities Own the end to end product lifecycle including collaboration with Product, Design and other customer success stakeholders to shape the system Deliver iterative improvements with performant code to realize the product vision and roadmap plans Using an API first approach, develop REST microservices that communicate with the event driven platform for Data & Reporting services, as well as integrate with customer systems Participate in the CICD and DevOps automation initiatives to build, test, deploy & operate on industry leading platforms & tools including AWS Cloud, Azure, Kubernetes, Docker, GitHub, Jenkins, Sonar, Spinnaker, NewRelic etc. You will act as a key contributor to continuously improve the way the team collaborates and delivers, while elevating the quality and business value of the product, as well as the technical innovation and excellence standards of the team Requirements and Preferred Experience: 8+ years of professional experience and track record of developing high-quality scalable code using modern computing languages in a self organized Agile environment required 4+ years delivering software using an agile methodology required (Scrum preferred) 4+ years of professional experience with modern Javascript frameworks (e.g., Angular, React, and Ember) Experience building a heavily utilized at scale consumer-facing enterprise SaaS software Experience with cloud-native software development and delivery with clear understanding of the standard architecture patterns and design practices surrounding Cloud services and deployments Successfully built APIs, architected database models including SQL and NoSQL, and event-driven patterns Compensation: Atlanta, GA: $185,000 - $216,000 On target ranges above include base plus a portion of variable compensation that is earned based on company and individual performance. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate's geographical location. Why OpenGov? A Mission That Matters. At OpenGov, public service is personal. We are passionate about our mission to power more effective and accountable government. Government that operates efficiently, adapts to change, and strengthens public trust. Some people say this is boring. We think it's the core of our democracy. Opportunity to Innovate The next great wave of innovation is unfolding with AI, and it will impact everything-from the way we work to the way governments interact with their residents. Join a trusted team with the passion, technology, and expertise to drive innovation and bring AI to local government. We've touched 2,000 communities so far, and we're just getting started. A Team of Passionate, Driven People This isn't your typical 9-to-5 job; we operate in a fast-paced, results-driven environment where impact matters more than simply clocking in and out. Our global team of 800+ employees is united in our commitment to challenge the status quo. OpenGov is headquartered in San Francisco and has offices in Atlanta, Boston, Buenos Aires, Chicago, Dubuque, Plano, and Pune. A Place to Make Your Mark We pride ourselves on our performance-based culture, where every employee is encouraged to jump in head-first and take action to help us improve. If you have a great idea, we want to hear it. Excellent performance is recognized and rewarded, and we love to promote from within. Compensation Range: $185K - $216K Apply for this Job

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance. You will: Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you'd have: Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000-$292,560 USDThe base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$165,600-$263,304 USDThe base salary range for this full-time position in the location of Hawaii/St. Louis is:$138,000-$219,420 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: Work directly with customers to understand their problems and translate those into features in Scale's platform. Be open to >50% travel or relocation to a key customer geographic location. Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. Implement end-to-end data integrations, syncing customer's data to Scale's platform and back Deploy and maintain Scale software at customer sites Develop customer requested features and work closely with them to ensure that they win customer love. Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus. Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Linux experience: Understanding of shell scripting, operating systems, etc Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000-$292,560 USDThe base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$165,600-$263,304 USDThe base salary range for this full-time position in the location of Hawaii/St. Louis is:$138,000-$219,420 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Honolulu, Hawaii is:$138,000-$219,420 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors In conjunction with Product Management and Design, the Engineering team at Nextdoor is responsible for bringing to life our mission of being the neighborhood hub for trusted connections and the exchange of helpful information, goods, and services. Working in small cross-functional teams, you'll work in an agile environment that values code quality, learning quickly, and personal growth through collaboration and challenge. You will collaborate with Frontend, Backend, Data Science, Infrastructure, Machine Learning Engineers and more to collectively improve the state of Engineering at Nextdoor. All engineers are invited to join co-ops to facilitate continuous modernization and knowledge sharing. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make As a Frontend Engineer on the team, you will be responsible for contributing to the architecture, usability, and reliability of the engineering ecosystem. We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you'll get the opportunity to make key contributions across the Frontend - this includes developing and improving frameworks, in addition to making direct contributions to your team's product area, and collaborating closely with multiple teams, stakeholders, and peers. Software Engineers at Nextdoor have a stake in all aspects of the product - from coming up with the next big ideas to build, to helping set expectations and plan roadmaps, to understanding the impact of new features through rigorous data analysis. As your career at Nextdoor develops, you'll also get the chance to mentor new team members, and grow your role towards what you're most passionate about. What You'll Bring To The Team 3-5 years of Software Development experience, and/or the ability to perform at an advanced level in the domain Experience in modern React, TypeScript, JavaScript, Redux / Recoil, Jest, and CSS Experience in at least one server-side web application language is a plus. Python/Django, Java, Kotlin, mobile development, and/or SQL experience is a plus Knowledge about GraphQL (Apollo / Relay), accessibility, internationalization, running online A/B experiments is a plus Experience with CI/CD systems and testing frameworks is a plus Experience within the AWS ecosystem is preferred Ability to design and implement heavily used services and systems Strong collaboration and communication skills, both verbal and written Strong desire to learn new technologies Ability to be flexible and adaptable in work environment Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography. The starting salary for this role is expected to range from $142,000 to $200,000 USD on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.