Software Engineer jobs at NCR - 16297 jobs

Selling Parter Identity Verifcation operates at the core of Amazon's marketplace security infrastructure, implementing complex distributed systems that ensure marketplace compliance and seller authenticity. Our engineering teams build and maintain high-throughput verification systems that process over 1.5M requests weekly, focusing on scalable identity verification and fraud prevention mechanisms. The Seller Registration domain encompasses a suite of distributed services handling seller verification and onboarding across Amazon's global marketplace. Our technical charter focuses on three primary engineering challenges: architecting streamlined, globally distributed registration systems; implementing robust identity verification services with real-time validation capabilities; and developing sophisticated automation frameworks that maintain high accuracy while scaling horizontally. Our systems are designed to handle complex state management across regions while maintaining strict security protocols and data consistency. We are scaling our architecture to simplify onboarding and enabling global entities. This involves developing stateless microservices, implementing event-driven architectures for cross-regional communication, and creating scalable data models that support multi-region operations. We're seeking Senior Engineers with extensive experience in distributed systems design and implementation. The role requires deep technical expertise in building high-throughput, low-latency services and a thorough understanding of cloud-native architectures. You'll be working with modern tech stacks including microservices architecture, step functions, event-driven systems, distributed databases, and sophisticated identity verification services. The ideal candidate will have demonstrated expertise in: Architecting globally distributed systems with emphasis on scalability and reliability. This includes experience with cross-regional data consistency, cache invalidation strategies, and distributed transaction management. You should be well-versed in designing fault-tolerant systems that maintain high availability across multiple regions while handling complex state management. Good background in security protocols and identity management systems is essential, as is experience with event-driven architectures and asynchronous processing patterns. Additionally, you should be comfortable with modern DevOps practices and maintaining CI/CD pipelines for large-scale distributed systems. Our engineering culture emphasizes technical excellence, innovation, and iterative development using advanced technologies. We operate in an environment where architectural decisions have significant impact on Amazon's global marketplace operations, requiring careful consideration of scalability, security, and performance implications. Basic Qualifications Bachelor's degree in computer science or equivalent 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 Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr

A technology collaboration company is seeking a Machine Learning Systems Engineer. This role involves building and scaling core infrastructure for AI and ML, mentoring junior engineers, and leading projects from design to launch. Candidates should be fluent in Java or Kotlin and have experience with AWS and machine learning. The position offers remote work options and competitive compensation ranges based on geographical zones. #J-18808-Ljbffr

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Roku pioneered streaming to the TV and continues to innovate and lead the industry. As we strive to influence the future of television globally, including TV advertising, the ongoing success depends heavily on our investment in the Content Management System. With Roku providing millions of movies, episodes, news, and channels, the Content Management System plays a vital role in managing content ingestion, selection, enrichment, and curation. We are seeking engineers capable of developing, designing, and deploying highly scalable, dependable applications, tools, and automation frameworks essential for efficiently handling the vast volume of content in our pipeline. About the role Roku pioneered TV streaming and continues to innovate and lead the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in the Roku Cloud TV Platform, so we deliver high quality streaming TV experience at a global scale. You will be part of the Roku Content Management System and Tools Engineering team, playing a key role in developing the next generation content management systems that drive content ingestion, selection, management, and curation workflows. These systems are vital for empowering critical functions like Search and Recommendation on the Roku Platform. Your projects will have a direct impact on millions of Roku users globally. Throughout, you'll collaborate with key stakeholders across various Roku engineering teams and take the lead in designing our content management system. The ideal candidate will demonstrate strong technical leadership, bring endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. What you'll be doing Lead and grow a high-performing engineering team responsible for content ingestion, enrichment, QC automation, and partner portal systems. Architect and scale distributed systems that handle millions of assets and metadata records, ensuring reliability and low-latency processing. Collaborate with product and operational partners to deliver a world‑class Partner Portal that empowers studios, networks, and content providers to onboard and manage their catalogs seamlessly. Drive automation across video, audio, artwork, and metadata QC, integrating AI/ML‑based services to improve accuracy and efficiency. Partner cross‑functionally to streamline content delivery and operational workflows. Provide technical direction, conduct code and design reviews, and ensure best practices in performance, observability, and security. Manage individual project priorities, deadlines and deliverables. Recruit and mentor engineers, fostering a culture of technical excellence, innovation, and accountability. We're excited if you have 5+ years proven track record in hiring, building and leading high‑caliber product engineering teams. 8+ years of software development experience with deep technical knowledge and expertise in building high availability, large‑scale distributed systems and services. Proven experience in building scalable, distributed backend systems in cloud environments such as AWS, GCP or Azure. Strong understanding of microservice and event‑driven architectures, including experience with messaging and streaming frameworks like Kafka, SQS, or similar technologies. Strong leadership, collaboration and communication skills in working with cross‑functional teams across the organization and delivering on big and ambitious goals. Deep understanding of content management, metadata processing, and media workflow automation. Experience in designing or integrating partner‑facing platforms or portals for content or data management. Ability to handle periodic on‑call duty as well as out‑of‑band requests; strong written and verbal communication skills. Bachelor's degree in computer science plus 8 years of experience or equivalent; Master's degree preferred. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast‑paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem‑solvers, which itself is a two‑part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ #J-18808-Ljbffr

San Diego, California, United States Software and Services Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.Apple is looking for a talented and energetic software engineer for the Core Networking team to lead and participate in the architecture and development of next generation networking technologies. The team is responsible for designing and enhancing the operating system networking components across Apple's range of products including all iOS, mac OS, watch OS, tv OS and vision OS based products.In this role, you will design and develop innovative systems firmware to enable TCP/IP Networking on a co-processor so that Networking connectivity is provided in a very power and thermal efficient manner. This capability forms the bedrock of Apple's next generation of technologies and allows Apple to provide new user experiences and refresh its device roadmap. You will be a mentor to the junior members of the team and will have the opportunity to lead cross-functional design. The ideal candidate should possess an excellent conceptual understanding and working knowledge of TCP/IP and related networking technologies, excellent system level architectural thinking along with low-level firmware programming skills, excellent communication and leadership skills, and the ability to work in a fast-paced environment. Description The candidate needs to be able to work in a fast paced environment, operate gracefully under stress, balance multiple assignments in parallel, and be self driven to be effective in an environment with little overhead. The candidate also needs to show initiative, be able to take ownership of a problem area, and demonstrate an ability to understand the role of the group's technology in the larger context of the product and network environment. The position has cross- functional aspects and the candidate will need to show excellent interpersonal and communication skills. Minimum Qualifications BS in Computer Science, Electrical Engineering or equivalent networking software development experience At least 5+ years of real time embedded software (firmware) development experience (design and implementation) Proficiency in C or C++ on resource-constrained embedded platforms Preferred Qualifications Experience with Embedded Operating Systems or Micro Kernels (Embedded Linux, QNX, VxWorks, L4 etc.) Experience with Networking stack implementations (BSD, Linux/ Android, Solaris, lw IP, sevenstax, mbed TLS etc.) Familiarity with link-layer technologies (Ethernet, Wi‑Fi, Cellular etc.) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A leading aerospace company is looking for a Senior Principal Engineer Software in San Diego, CA, to design and develop embedded software systems. Candidates should have a strong background in C/C++ and Python, with at least 8 years of relevant experience. This position requires collaboration in an Agile environment and an active Secret DoD Security Clearance. The salary range is $118,600 - $178,000, plus bonuses and benefits. #J-18808-Ljbffr

365 Retail Markets is the most trusted global provider of unattended retail technology, delivering conveniently smart self-service solutions since 2008. The company's all-in-one platform powers retail spaces across food service, global retail, and hospitality with a comprehensive suite of frictionless smart stores, micro markets, vending, catering, and dining point-of-sale options. These technologies can be found worldwide in corporate offices, manufacturing and distribution facilities, educational campuses, hotels, and beyond. As a nine-time honoree on the Inc. 5000 list of fastest-growing companies in the United States, and with a continually expanding global presence, 365 Retail Markets is committed to growth, innovation, and providing superior, integrated technology that meets the evolving needs of its customers and consumers. The QA Engineer is a member of the Technology Department of 365 Retail Markets and reports to the QA Manager. As the QA Engineer you will use your experience in software QA to test interconnected backend systems and point-of-sale hardware and mobile apps. You will collaborate with software development project stakeholders to validate the functionality, performance, stability, and security of the company's product line end-to-end. You will think like a customer and work to reduce customer-facing issues and improve software usability and functionality. You will also work to improve testing efficiency and mentor other QA engineers. You must have a passion for quality and a strong motivation for delivering highly valuable products and solutions. Responsibilities Design and execute comprehensive test cases, including acceptance, negative, and edge scenarios. Maintain and optimize regression suites, applying risk-based testing to maximize coverage and efficiency. Lead defect triage sessions, contribute to root cause analyses, and escalate risks proactively. Collaborate with support and implementation teams to align testing with real customer scenarios. Provide actionable feedback on requirements and recommend process improvements. Document QA practices to drive consistency, knowledge sharing, and effective onboarding. Mentor junior QA engineers and promote testing best practices. Build deep product expertise and act as a subject matter expert for assigned features. Contribute to the adoption and improvement of test automation frameworks. Requirements Bachelor's degree in computer science, related field, or equivalent practical experience. 4+ years of experience in software quality assurance. Proficiency with productivity and collaboration tools (e.g., Jira, Confluence, Slack, MS Office, Google Workspace). Strong knowledge of software development lifecycle and QA methodologies. Hands-on experience with test case management tools (e.g., TestRail). Proficiency in SQL querying for data validation and backend testing. Experience with manual and automated API testing. Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps). Experience testing distributed client/server applications. Exposure to test automation frameworks (e.g., Selenium, Playwright) and scripting/programming (Java, Python, or equivalent) is a plus.

Asana's rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we're making a major investment in reliability - and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn't a traditional “ops” role - we're looking for strong software engineers who are passionate about building reliable, distributed systems. You'll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you'll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office‑centric hybrid schedule - in‑office days are Monday, Tuesday, and Thursday. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll do: Influence the future of Asana's SRE practice, especially as we grow the Warsaw team. Lead reliability‑focused projects across our stack - from infrastructure to tooling to incident response. Define and implement Asana's incident management process - we're investing here, and you'll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on‑call rotation - shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it's not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo - but we want this post to actually show up in your searches.) About you: You're a strong and experienced software engineer who's comfortable writing and reading code - this isn't an ops role. You care about reliability, scalability, and long‑term maintainability, not just quick fixes. You might have worked as an SRE before - or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run. You've seen systems at scale (or want to), and you're excited about solving infrastructure problems that have broad impact. You're curious, take initiative, and aren't afraid to work in ambiguous spaces - especially important on a brand new team. You collaborate well across teams and want to help others build more reliable systems. You don't need to know our exact stack, but you're eager to learn whatever it takes to make things better. You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. Why this role? Founding team: You'll be one of the first SREs in Warsaw - and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long‑term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence - whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment (with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family‑forming support with Carrot. Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 23 000 and 33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

A leading aerospace and defense company in California is seeking a Senior Principal Embedded & Real Time Software Engineer. This role involves designing, developing, and testing software for critical systems, working in an Agile environment. Candidates should possess a Bachelor's degree in a STEM field with extensive experience in software development, particularly in C, C++, and Python. A Top Secret clearance is required. The position offers a competitive salary and opportunities for career advancement. #J-18808-Ljbffr

A leading aerospace and defense company in California is seeking a Senior Principal Embedded & Real Time Software Engineer. This role involves designing, developing, and testing software systems in a collaborative Agile environment. Candidates should have 8 years of experience in engineering, familiarity with programming languages like C and C++, and demonstrate capability in real-time applications. A Top Secret clearance is required, and the position offers competitive salary and relocation assistance. #J-18808-Ljbffr

Role: ServiceNow Engineer with CSM Implementation specialist. Job Descriptions: · Develop full stack applications with due consideration to security, design, validation and SDLC framework · Collaborate with product managers, business operations, engineers to define product requirements and objectives · Participate in system design consulting, platform management · Manage multiple tasks and use sound judgment when prioritizing · Update and maintain documentation for team processes, best practices and runbooks · Must be passionate about technology and engineering · Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions Basic qualifications · Minimum 5 years of relevant professional experience using ServiceNow · CSM Implementation specialist. · Solution design and architecture leveraging Best practices and OOTB capabilities. · Integrations capabilities- Mid Server, OAuth, Rest, Third party systems · Flow designer, Workspaces - Agent/Configurable · Prior experience with working on high availability, mission critical systems · Proven to work independently in a fast paced and often multi-direction work environment · Team oriented, strong interpersonal and communication skills Preferred qualifications · Experience with development and design of distributed systems · Experience in financial services specifically corporate cash management desirable · Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay

A leading network and security company is seeking an Engineering Sr Manager to lead a team building and operating distributed cloud services. The role requires over 10 years of software engineering experience, including significant leadership experience. The successful candidate will drive engineering best practices, ensure secure and scalable solutions, and collaborate across teams. This position is hybrid, allowing flexibility in work location, and offers an attractive salary range between $216,800 and $325,200, complemented by various benefits. #J-18808-Ljbffr

A leading AI contracting platform is seeking a Senior Manager for the Solution Engineering and Technical Services team in San Francisco. This role involves leading a skilled team, collaborating with other departments to drive customer value, and supporting sales efforts. The ideal candidate will have a strong background in solution engineering, excellent leadership skills, and experience in a B2B SaaS environment. This position offers a competitive OTE range between $180,000 and $220,000 per year, along with comprehensive benefits. #J-18808-Ljbffr

A healthcare technology company is seeking a Research Engineer to enhance ML infrastructure for medical imaging. You will manage data pipelines and contribute to production-ready systems. Ideal candidates have 3+ years' experience in production ML systems, strong Python skills, and familiarity with cloud technologies. This role involves collaboration with researchers and rapid prototype development. #J-18808-Ljbffr

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. 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A tech company in San Francisco is seeking an innovative AI Engineer to design and integrate cutting-edge AI capabilities. The ideal candidate will have over 2 years of experience, proficiency in AI/ML, and strong communication skills. This role involves collaborating with teams, developing AI systems, and addressing scalability challenges in a fast-paced environment. The team operates on-site in San Francisco five days a week. #J-18808-Ljbffr

A data consulting firm based in San Francisco is seeking a Palantir Foundry Consultant for a contract position. The ideal candidate should have strong experience in Palantir Foundry, SQL, and PySpark, with proven skills in data pipeline development and ETL automation. Responsibilities include building data pipelines, implementing interactive dashboards, and leveraging data analysis for actionable insights. This on-site role offers an excellent opportunity for those experienced in the field. #J-18808-Ljbffr

Key Responsibilities Lead the end-to-end architecture and implementation of Snowflake(Bronze/Silver/Gold layers). Partner with business and data stakeholders to translate requirements into canonical models, ontologies, and data products. Define and enforce data modeling standards, naming conventions, and domain-driven design principles. Guide teams on data ingestion patterns, transformation frameworks (e.g., dbt), and performance optimization in Snowflake. Integrate data management capabilities including Data Quality using SODA, Data Governance, Metadata Management, and Data Observability. Ensure platform scalability, security, cost optimization, and compliance with enterprise standards. Provide technical leadership and mentorship to data engineers and modelers. Act as a key contributor in roadmap planning, technical decision-making, and stakeholder communication. Required Skills & Experience 10+ years of experience in data engineering and platform architecture, with at least 3+ years in a lead role. Strong hands-on experience with Snowflake (performance tuning, clustering, security, cost optimization). Hands-on experience with cloud platforms (AWS, Azure, or GCP) Understanding with Data Domains (Client, Finance etc.) Deep understanding of data modeling (dimensional, canonical, domain-driven). Experience designing or working with ontology / semantic layers (business vocabularies, relationships, metrics). Strong knowledge of modern data stack tools (dbt, orchestration, CI/CD for data). Experience implementing Data Quality, Data Governance, Metadata, and Data Observability solutions. Experience with orchestration tools such as: Apache Airflow, Prefect, or Luigi. Solid SQL skills and strong understanding of ELT patterns. Ability to lead cross-functional teams and communicate complex concepts to both technical and non-technical stakeholders. Nice to Have Experience with knowledge graphs, semantic models, or graph technologies. Exposure to enterprise data platforms supporting multiple domains and global users. Background in cloud-native architectures and large-scale data modernization programs.