Automation Engineer jobs at Bright Machines - 899 jobs

RETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines, we're innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers' unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to create the factory of the future, we'd love to speak with you. ABOUT THE ROLE As an Automation Controls Engineer you will be designing and developing automated solutions, choosing parts, and programming our robotic systems. Automation Controls Engineer are able to communicate effectively with all project stakeholders including customers, leadership, our sales teams, program management, research and development engineers, and delivery team engineers that bring customer solutions to life. We have a passion for bringing together cross functional teams to creatively solve problems. We value working closely with different groups throughout project lifecycles and believe that creating and validating user requirements at the system and sub system level is essential for success. WHAT YOU WILL BE DOING * Helping to architect the process and controls that will control our machines * Reading and contributing to electrical schematics that define and document our systems * Participating in mechanical and electrical design reviews to provide feedback on the systems you will be controlling * Programming the paths for the robots and motion systems that make up our automation * Analyzing customer needs, turning those into system requirements, and incorporating them into the software of the system * Programming Beckhoff PLCs using the TwinCat3 IDE * Developing real-time code using IEC 61131-3 Structured Text * Developing non real-time code using Python and object oriented design patterns * Travel 25% to 30% WHAT WE WANT TO SEE * BS or MS in Electrical or Computer Engineering or equivalent * Beckhoff PLC programming * Structured Text (61131-3) * Python programming * Object oriented programming concepts * Git software version control * SQL RDB * Robot programming * Industrial Automation * Stepper and servo motor motion control and tuning * Familiarity with Linux and command line tools IT WOULD BE GREAT IF YOU HAD * Some exposure with web technologies (ie JavaScript, React, REST, GraphQL). * Experience using industrial robots such as Fanuc * Experience with vision systems (i.e. Keyence or Cognex) * Experience with SCADA systems WHO YOU ARE * You are customer obsessed * You believe in the power of a team, diversity of thought, and unity of action * You always act with integrity, keep your commitments, and practice transparency * You think boldly, lead with courage, and demand the highest standards * You drive for results, and act like an owner $150,000 - $185,000 a year BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded "Best AI-based Solution for Manufacturing" by AI Breakthrough, named a "Technology Pioneer" by the World Economic Forum, and highlighted by several other leading technology and innovation organizations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Vercel: Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. About the role: We are looking for a GRC Automation Engineer to join our Governance, Risk, and Compliance (GRC) team. You will have the opportunity to enhance our global compliance posture and further our commitment to managing enterprise risk. Your role will be instrumental in ensuring that our company operates in accordance with security requirements and embodies an environment where it's everyone's responsibility. This role will report to the Head of GRC and help shape the next iteration of the GRC program and further embed data governance principles and compliance requirements into the business. Think you may not have all the skills and are hesitant to apply? There is no “perfect” candidate and encourage you to apply if you think that you can bring value to our team and are passionate and committed to upholding the highest standards of compliance and ethics. If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team. Getting started: We want you to feel like part of the team early on! Our team will help integrate you into the company with explanations on our product, policies, processes, team structure and roadmap. We're excited for you to learn, grow, and contribute right away! We trust that you'll bring experience and knowledge that will uplift and up-level the team, but we don't expect you to know everything on Day 1. What you will do: Design and automate control testing and evidence collection to reduce manual effort and improve accuracy. Build and maintain scripts and APIs across infrastructure, endpoints, and SaaS platforms (e.g., AWS, GitHub, Okta) that interface with compliance tooling. Support recurring internal and external audits (i.e., SOC 2, ISO 27001, PCI DSS, etc.) by ensuring reliable control monitoring. Champion security, compliance, data governance strategies and processes, including data deletion, data retention, data storage, and more. Leverage AI/ML tools to improve efficiency and outcomes for GRC processes and overall compliance posture. Define technical control requirements and collaborate with internal partners to embed compliance checks into CI/CD pipelines and infrastructure deployment workflows. About you: Experience in scripting or automation with a focus on security, infrastructure, or GRC Knowledge of audit processes, evidence requirements, and remediation actions for security and compliance frameworks (i.e., SOC 2, ISO 27001, PCI DSS) Ability to write scripts and basic code to automate audit and evidence gathering processes Ability to build API end points and command-line tools, work with structured data (JSON, CSV, YAML), and extract compliance-relevant information from security, IT, and GRC systems Experience owning a project or scope, building relationships, collaborating with both technical and non-technical teams and driving initiatives to completion Bonus if you have: Familiarity with data governance, compliance or software development tools and systems (e.g., Drata, Satori, Github, etc.) Experience with frontend cloud, AI/ML systems, and open source development Experience with FedRAMP or NIST frameworks, such as 800-53, 800-171, RMF Security certifications (e.g. CISA, CISSP) Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $128,000.00 - $222,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don\'t necessarily check every box on the job description. #J-18808-Ljbffr

A leading educational technology company is seeking a Director of Quality Assurance to lead the QA discipline for its flagship products. The ideal candidate will have extensive experience in QA roles, focusing on both manual and automated testing, while defining strategies that elevate the QA processes. This position offers a competitive salary and various employee benefits, with opportunities for hybrid or fully remote work options. #J-18808-Ljbffr

A cutting-edge robotics startup in San Francisco is seeking a Senior Robotics Test Engineer to lead the reliability and precision of robotics software for their automated manufacturing systems. This role involves building and maintaining testing architecture, collaborating cross-functionally, and contributing to the overall quality assurance strategy. The ideal candidate should have extensive experience in software test engineering, particularly in robotics, and excellent communication skills. A competitive salary range of $140,000 - $180,000 annually is offered, along with significant equity potential and various employee benefits. #J-18808-Ljbffr

About Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum - resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom's high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. As a Senior QA Engineer, you will play an important role in ensuring the quality and reliability of our educational platforms. You will work at the intersection of traditional quality assurance and cutting-edge AI technology, contributing to our testing infrastructure and improving learning outcomes for our users. You are expected to exemplify company values and possess the capabilities to keep the team on track through independent project management and process adherence. What You'll Do Project Leadership: Keep team projects on track, demonstrating strong ownership and initiative, while effectively managing interactions with cross‑functional partner groups. Technical Estimation & Strategy: Independently and accurately estimate the QA level of effort (costing) for projects, considering maintenance, timelines, and business pressures. Requirement Analysis & Design Feedback: Deeply understand and analyze user stories, product specifications, and requirements to ensure testability. Provide critical feedback on functional issues, acceptance criteria, and design flaws early in the development lifecycle. Testing & Debugging: Design and execute comprehensive tests, and debug complex issues, in possibly unfamiliar areas of the application. AI Tooling: Proactively integrate AI tools into your QA workflows to improve efficiency and accuracy, while evaluating and recommending specific testing tools (e.g., self‑healing scripts, AI‑driven test generation) to increase team velocity. Testing AI Features: Validate AI‑driven educational features, such as personalized learning paths or automated grading systems, ensuring accuracy and bias mitigation. Automation & Code Quality: Create complex test scripts, and conduct high‑quality code reviews for automated scripts with actionable feedback. Documentation: Develop thorough test plans that prioritize maintainability and address immediate business needs. Utilize LLMs to generate test data, summarize bug reports, and create initial drafts of test documentation. Defect Management: Conduct in‑depth defect analysis to identify root causes and trends, improving overall product quality. Support: support customers by triaging user‑reported issues. What We're Looking For 5+ years of professional experience in functional manual testing. Expert Knowledge: Expert understanding of core QA concepts, testing strategies, and the software test cycle process. Automation Proficiency: Deep experience with functional automation tools (Playwright, Selenium, and JUnit, etc.) AI Tooling: Proven ability to use AI tools for test automation, bug triage, and test data generation to streamline repetitive tasks. Communication & Influence: Excellent verbal and written communication skills with a track record of contributing materially outside of individual work to assist the wider team. Debugging Skills: Strong ability to solve technical issues in both familiar and unfamiliar functionality. Work Style: Excellent attention to detail, high accountability, and the ability to handle problems from start to finish with an appropriate response. $110,000 - $165,000 a year Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process. What We Offer Competitive salary Meaningful equity Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance One Medical membership (in participating locations) Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year. 10 paid sick days per year (pro rata depending on start date) Paid holidays Paid bereavement leave Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State. Commuter and FSA plans Equal Employment Opportunity Policy Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws. #J-18808-Ljbffr

A leading educational technology firm is seeking a Senior QA Engineer to ensure the quality and reliability of their platforms. Candidates should have over 5 years of QA experience, strong understanding of core QA concepts, and the ability to integrate AI tools into the testing workflow. This role includes responsibilities in project leadership, comprehensive testing, and stakeholder communication. The position offers a competitive salary range of $110,000 - $165,000 depending on experience and seniority. #J-18808-Ljbffr

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

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

A leading AI technology company is seeking a Machine Learning Research Engineer to develop critical ML systems for their GenAI platform. This high-impact role involves designing and deploying scalable ML solutions, utilizing advanced techniques and frameworks. Candidates should have 3+ years of experience, solid software engineering skills, and a passion for solving real-world problems. The position offers competitive compensation and benefits, with a salary range of $176,000 to $220,000 USD in San Francisco. #J-18808-Ljbffr

Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive. About the Role Join our team to craft a unique take on smart wearable devices with incredibly compact audio capabilities. We're looking for an experienced Audio System Engineer to define, tune, evaluate, and ship high‑quality speech reproduction systems and spatialized audio capture solutions. Responsibilities Own all aspects of shipping consumer electronic products with market‑leading audio performance independently or with the support of the Audio Lead, depending on experience level. Create the transfer function from Product Level Requirement Documents to audio systems and transducer requirements to ensure product success. Design, analyze, and refine real‑time audio capture and render systems. Research and implement advanced technologies to optimize audio system integration. Continuously learn and explore new technologies, setting benchmarks for user experiences. Collaborate on system architecture, including algorithms and tools, and oversee implementation. Evaluate third‑party audio technologies and keep abreast of industry developments. Understand the trade‑offs in various DSP and ML approaches/platforms for embedded solutions. Work with the cross‑functional team to innovate on audio solutions. Factory testing and build support throughout the product development cycle. Required Qualifications 4+ years of experience in audio hardware development. Experience in designing, tuning, and testing microphone arrays and real‑time audio capture. Proven track record in developing comprehensive audio solutions encompassing acoustics, transducers, digital interfaces, audio ICs, and DSPs. Extensive experience with audio testing systems (e.g., SoundCheck, Audio Precision, HATS testing). Strong background in DSP techniques (e.g., FIR/IIR filter design, beamforming, echo cancellation). Effective independent operation and teamwork in a dynamic, cross‑functional setting. Experience with acoustic simulation software, e.g., COMSOL. Bachelor's degree in Electrical Engineering, Computer Science, Acoustics, or similar. Preferred Qualifications 8+ years of experience in audio hardware development. Proficiency in a high‑level programming language (e.g., MATLAB, Python). Familiarity with human perception of sound. Experience with psycho‑acoustic metrics and evaluation of speech quality and intelligibility. Familiarity with audio rendering techniques and speaker technologies. Experience in acoustics and consumer audio EE architecture. Familiarity with audio algorithm development, ML techniques, and/or NN implementations. M.Sc. or Ph.D. in EE, Comp.Sci., Acoustic, or related disciplines. Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities-contact ****************** for assistance. Full‑time Employee Benefits 401k matching 100% employer‑paid health, vision, and dental benefits Unlimited PTO and sick time Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers. #J-18808-Ljbffr

Uniphore is one of the largest B2B AI-native companies-decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. Job Description: Uniphore is the global leader in Conversational AI and Automation. We're transforming the way enterprises engage with customers, employees, and data through voice, video, and text interactions. As part of our continued growth, we're seeking an experienced Staff QA Engineer to lead quality initiatives across our AI-driven SaaS platforms. Position Overview As a Staff QA Engineer at Uniphore, you'll drive the strategy, design, and execution of large-scale QA initiatives for AI/ML and cloud-based applications. You'll establish and evolve automation frameworks, define quality metrics, and partner cross-functionally with global engineering and product teams. This role is ideal for a hands-on QA leader who thrives in fast-paced, distributed environments and is passionate about improving quality through innovation, automation, and AI. Key Responsibilities Lead QA strategy and roadmap for Uniphore's AI and SaaS platforms, driving continuous improvements in automation, coverage, and release quality. Design and implement scalable automation frameworks for API, UI, and data validation testing using tools such as Selenium, Cucumber, Appium, or RestAssured. Partner with Data Science and Engineering teams to validate AI/ML workflows, analytics pipelines, and model integration within production environments. Build and mentor global QA teams (US, India, LATAM) and establish a Testing Center of Excellence (TCoE) focused on quality metrics and process consistency. Lead efforts in performance, security, and regression testing, ensuring Uniphore's enterprise platforms deliver reliability at scale. Perform root cause and trend analysis to identify process gaps and recommend automation or process enhancements. Document QA processes, release notes, and best practices in Confluence / Jira and maintain alignment with Agile/SAFe practices. Ensure end-to-end testing coverage across microservices, APIs, mobile, and web-based solutions in a multi-tenant cloud environment. Qualifications Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred). 7+ years of QA experience Proven track record in AI/ML, Cloud, and SaaS testing (preferably within healthcare, finance, or enterprise domains). Hands-on expertise in automation tools: Selenium, Appium, RestAssured, Postman, JMeter, TOSCA, HP ALM, and Jenkins. Strong programming/scripting skills in Python, Java, or C#. Deep understanding of Agile, DevOps, and CI/CD pipelines. Experience with version control systems such as Git Sound knowledge of software QA methodologies, tools, and processes. Excellent leadership, communication, and mentoring skills. Global collaboration experience with distributed teams across India, US, LATAM, and EMEA. Proactive, self-driven, and a quick learner Preferred Skills Experience testing AI/Conversational AI, NLP, or Speech Analytics applications. Knowledge of GenAI testing frameworks, LLM workflows, or chatbot testing methodologies. Familiarity with ServiceNow, PeopleSoft, or CRM system integrations. Hiring Range: $154,400 - $212,300 - for Primary Location of USA - CA - Palo Alto The specific rate will depend on the successful candidate's qualifications and prior experience. In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life. Location preference: USA - CA - Palo Alto Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. For more information on how Uniphore uses AI to unify-and humanize-every enterprise experience, please visit *****************

Remote - Restricted to North America Brave is on a mission to protect the human right to privacy online. We've built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, a browser-native crypto wallet, and a private ad network (opt-in!) that directly rewards you for your attention. And we're just getting started. Already 100 million people have switched to Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what's true and what's not. Brave is fighting back. Join us! Summary Brave is looking for an experienced Quality Assurance Engineer to work on focusing on the quality of Brave's browser releases. You'll work with various groups across Brave, cross cutting both functionality and departments. This is a high profile and impactful, hands-on position that will require grit. Work together with our developers and privacy/security experts to help us take our browser to the next level. Requirements * 5+ years experience with testing software * Strong written and verbal communication skills in English * Experience in mac OS, Windows, and various Linux distributions * Android and iOS experience * Experience with both Android Studio and Xcode * Experience using packet monitoring tools (Charles Proxy, Fiddler, Wireshark) * Familiarity with cryptocurrency wallets and ecosystem * Familiarity with latest AI trends and ecosystem * Experience with git and other command line tools * Comfortable working in an open source setting and with GitHub * A passion for helping protect users' privacy and security * Proven record of getting things done Working at Brave * Industry-leader in privacy, with a research and engineering team that's innovating everyday to keep people safer online and beat Big Tech * Highly competitive salaries & benefits, and generous home-office stipends * Fully remote team (no office, no commute) * Welcoming, humble, ridiculously smart teammates, and a truly flat org structure * Opportunity to get in early at a hyper-growth company, and revolutionize the web * Oh, and did we mention Brendan, our CEO & co-founder, invented JavaScript? United States Candidates: The salary range for this role is $90,000 - $130,000 USD, depending on experience. Check us out LinkedIn | Glassdoor | brave.com

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit *********** About This Opportunity You will be a core QA engineer responsible for the end-to-end quality and reliability of h2o.ai's product portfolio. This is a hybrid position based in Mountain View, CA. What You Will Do * Design, build, and maintain Python-first automation frameworks (pytest + Playwright + async) for UI, API, and end-to-end workflows of H2o.ai's product portfolio. * Perform deep exploratory and manual testing of the H2o.ai's product portfolio web UI (chat interfaces, document upload/processing, agent builder, maker suite, evaluation hub, enterprise admin console). * Use H2o.ai's product portfolio itself (and other GenAI tools) in creative ways to: * Generate realistic test documents, datasets, and edge-case prompts. * Auto-generate or refine test cases via prompt engineering. * Rapidly summarize and debug massive, complex log files (e.g., Kubernetes pods, etc.). * Explain cryptic LLM traceback chains or hallucination root causes in seconds instead of hours. * Root-cause of difficult, intermittent failures in distributed RAG/LLM systems by combining traditional log analysis with GenAI-assisted debugging. * Create and execute chaos experiments targeting LLM routing, vector database latency, GPU OOM, retrieval failures, and token-limit edge cases. * Build and manage ephemeral H2o.ai's product portfolio clusters on Kubernetes for testing (Helm, custom operators). * Own UI regression suites (Playwright) and accessibility testing. * Write reproducible, high-quality bug reports that developers love and regularly verify fixes across the full stack. * Collaborate closely with the H2o.ai's product portfolio feature teams in an Agile environment and influence testability from the design phase. What We Are Looking For * 2-4 years of QA experience with a strong mix of automation and hands-on manual/exploratory testing. * Decent Python skills and experience building maintainable test frameworks from scratch. * Real-world experience testing modern React/TypeScript web applications and writing bulletproof Playwright or Selenium tests. * Hands-on Kubernetes experience in a testing or test-environment context (kubectl, Helm, writing manifests, debugging pods). * Proven ability to use generative AI tools daily to accelerate debugging, test-data creation, and log analysis (you've already used H2o.ai's product portfolio, ChatGPT, Claude, or similar in your current QA workflow). * Comfort reading and triaging complex logs from LLM frameworks, vector DBs, and tracing systems. * Solid grasp of CI/CD (GitHub Actions preferred) and infrastructure-as-code concepts. How to Stand Out From the Crowd * Prior experience testing RAG systems, agentic workflows, or enterprise chat/assistant platforms. * Experience with visual diffing of generated outputs (documents, charts, markdown). * Chaos engineering on Kubernetes (Chaos Mesh, Litmus) or GPU workloads. * Familiarity with Chaos engineering principles. * Basic understanding of containerization (Docker/Kubernetes concepts like pods and kubectl) in a testing context. Why H2O.ai? * Market leader in total rewards * Remote-friendly culture * Flexible working environment * Be part of a world-class team * Career growth * Base salary range: $105,000 - 130,000 USD H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit ********** to learn more. #LI-Hybrid

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit *********** About This Opportunity You will be a core QA engineer responsible for the end-to-end quality and reliability of h2o.ai's product portfolio. This is a hybrid position based in Mountain View, CA. What You Will Do Design, build, and maintain Python-first automation frameworks (pytest + Playwright + async) for UI, API, and end-to-end workflows of H2o.ai's product portfolio. Perform deep exploratory and manual testing of the H2o.ai's product portfolio web UI (chat interfaces, document upload/processing, agent builder, maker suite, evaluation hub, enterprise admin console). Use H2o.ai's product portfolio itself (and other GenAI tools) in creative ways to: Generate realistic test documents, datasets, and edge-case prompts. Auto-generate or refine test cases via prompt engineering. Rapidly summarize and debug massive, complex log files (e.g., Kubernetes pods, etc.). Explain cryptic LLM traceback chains or hallucination root causes in seconds instead of hours. Root-cause of difficult, intermittent failures in distributed RAG/LLM systems by combining traditional log analysis with GenAI-assisted debugging. Create and execute chaos experiments targeting LLM routing, vector database latency, GPU OOM, retrieval failures, and token-limit edge cases. Build and manage ephemeral H2o.ai's product portfolio clusters on Kubernetes for testing (Helm, custom operators). Own UI regression suites (Playwright) and accessibility testing. Write reproducible, high-quality bug reports that developers love and regularly verify fixes across the full stack. Collaborate closely with the H2o.ai's product portfolio feature teams in an Agile environment and influence testability from the design phase. What We Are Looking For 2-4 years of QA experience with a strong mix of automation and hands-on manual/exploratory testing. Decent Python skills and experience building maintainable test frameworks from scratch. Real-world experience testing modern React/TypeScript web applications and writing bulletproof Playwright or Selenium tests. Hands-on Kubernetes experience in a testing or test-environment context (kubectl, Helm, writing manifests, debugging pods). Proven ability to use generative AI tools daily to accelerate debugging, test-data creation, and log analysis (you've already used H2o.ai's product portfolio, ChatGPT, Claude, or similar in your current QA workflow). Comfort reading and triaging complex logs from LLM frameworks, vector DBs, and tracing systems. Solid grasp of CI/CD (GitHub Actions preferred) and infrastructure-as-code concepts. How to Stand Out From the Crowd Prior experience testing RAG systems, agentic workflows, or enterprise chat/assistant platforms. Experience with visual diffing of generated outputs (documents, charts, markdown). Chaos engineering on Kubernetes (Chaos Mesh, Litmus) or GPU workloads. Familiarity with Chaos engineering principles. Basic understanding of containerization (Docker/Kubernetes concepts like pods and kubectl) in a testing context. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth Base salary range: $105,000 - 130,000 USD H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit ********** to learn more. #LI-Hybrid

Mavrx uses aerial imaging to bring the benefits of big data to the $1 Trillion agriculture industry. With our easy-to-use web and mobile interfaces, growers get real-time information on their entire farm without having to physically walk the fields. Using frequent imagery (from drones, planes, & satellites), and proprietary crop-specific analytics, we measure plant health and identify issues before they are visible to the naked eye. Job Description We are looking for a self directed, critically minded engineer/scientist/statistician to develop and maintain test suites for a line of machine vision and biometrics estimation algorithms. Responsibilities include Develop automated system to run continuous regression tests against ground truth annotated images. Work with algorithm developers to design tests that qualify algorithms to perform in a robust and well characterized manner on real world noisy images. Generate statistical reports highlighting failure modes, frequencies, error distributions, etc. Gather, curate and annotate large development and test data sets. Work with domain experts to understand proper annotations and target values. Develop annotation tools. Annotate some data and manage contract annotators. Exploit opportunities for automation using simulators, approval of algorithm generated annotations, etc. Write simulations; de novo and various simulated distortions and corruptions of real data. Instrument algorithm code, white box testing. Aid in the design of metrics that indicate algorithm failure. Qualifications Education: BS or greater in math, engineering, physics, statistics, etc. Required Experience: Proficient in at least one programming language, ideally a statistical analysis language like Matlab, R, etc. Desired Experience: Statistically analyzing large data sets, ideally in a QC setting. Skilled with JMP, Statistica, SAS, or similar. Image processing, Machine vision, machine learning. Estimation theory. Familiarity with various standard image and data formats, databases. SQL, XML, JSON, HTML, etc. GIS, remote sensing. Additional Information Position Details This is a full-time salaried position with stock options and benefits. How to Apply Please send the following to jobs AT mavrx.co Tell us why you're interested in Mavrx. Your CV/resume

Mavrx uses aerial imaging to bring the benefits of big data to the $1 Trillion agriculture industry. With our easy-to-use web and mobile interfaces, growers get real-time information on their entire farm without having to physically walk the fields. Using frequent imagery (from drones, planes, & satellites), and proprietary crop-specific analytics, we measure plant health and identify issues before they are visible to the naked eye. Job Description We are looking for a self directed, critically minded engineer/scientist/statistician to develop and maintain test suites for a line of machine vision and biometrics estimation algorithms. Responsibilities include Develop automated system to run continuous regression tests against ground truth annotated images. Work with algorithm developers to design tests that qualify algorithms to perform in a robust and well characterized manner on real world noisy images. Generate statistical reports highlighting failure modes, frequencies, error distributions, etc. Gather, curate and annotate large development and test data sets. Work with domain experts to understand proper annotations and target values. Develop annotation tools. Annotate some data and manage contract annotators. Exploit opportunities for automation using simulators, approval of algorithm generated annotations, etc. Write simulations; de novo and various simulated distortions and corruptions of real data. Instrument algorithm code, white box testing. Aid in the design of metrics that indicate algorithm failure. Qualifications Education: BS or greater in math, engineering, physics, statistics, etc. Required Experience: Proficient in at least one programming language, ideally a statistical analysis language like Matlab, R, etc. Desired Experience: Statistically analyzing large data sets, ideally in a QC setting. Skilled with JMP, Statistica, SAS, or similar. Image processing, Machine vision, machine learning. Estimation theory. Familiarity with various standard image and data formats, databases. SQL, XML, JSON, HTML, etc. GIS, remote sensing. Additional Information Position Details This is a full-time salaried position with stock options and benefits. How to Apply Please send the following to jobs AT mavrx.co Tell us why you're interested in Mavrx. Your CV/resume

RETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines , we're innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers' unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to create the factory of the future, we'd love to speak with you. ABOUT THE ROLE As an Automation Controls Engineer you will be designing and developing automated solutions, choosing parts, and programming our robotic systems. Automation Controls Engineer are able to communicate effectively with all project stakeholders including customers, leadership, our sales teams, program management, research and development engineers, and delivery team engineers that bring customer solutions to life. We have a passion for bringing together cross functional teams to creatively solve problems. We value working closely with different groups throughout project lifecycles and believe that creating and validating user requirements at the system and sub system level is essential for success.WHAT YOU WILL BE DOING Helping to architect the process and controls that will control our machines Reading and contributing to electrical schematics that define and document our systems Participating in mechanical and electrical design reviews to provide feedback on the systems you will be controlling Programming the paths for the robots and motion systems that make up our automation Analyzing customer needs, turning those into system requirements, and incorporating them into the software of the system Programming Beckhoff PLCs using the TwinCat3 IDE Developing real-time code using IEC 61131-3 Structured Text Developing non real-time code using Python and object oriented design patterns Travel 25% to 30% WHAT WE WANT TO SEE BS or MS in Electrical or Computer Engineering or equivalent Beckhoff PLC programming Structured Text (61131-3) Python programming Object oriented programming concepts Git software version control SQL RDB Robot programming Industrial Automation Stepper and servo motor motion control and tuning Familiarity with Linux and command line tools IT WOULD BE GREAT IF YOU HAD Some exposure with web technologies (ie JavaScript, React, REST, GraphQL). Experience using industrial robots such as Fanuc Experience with vision systems (i.e. Keyence or Cognex) Experience with SCADA systems WHO YOU ARE You are customer obsessed You believe in the power of a team, diversity of thought, and unity of action You always act with integrity, keep your commitments, and practice transparency You think boldly, lead with courage, and demand the highest standards You drive for results, and act like an owner BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.