Automation engineer jobs in San Leandro, CA - 4,214 jobs

About Air Apps At Air Apps, we believe in thinking bigger-and moving faster. We're a family-founded company on a mission to create the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal, in 2018-and now with offices in both Lisbon and San Francisco-we've remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you'll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management-and change lives along the way. The Role As a QA Automation Engineer at Air Apps, you will play a crucial role in building and maintaining automated test frameworks and regression test suites to ensure our applications meet the highest quality standards. You will work closely with developers, product managers, and QA teams to implement automated testing strategies, increase test coverage, and optimize testing efficiency. Your contributions will directly impact the stability, performance, and reliability of our applications across web and mobile platforms. Responsibilities Design, develop, and maintain automated test frameworks for web and mobile applications. Create and execute automated regression, functional, performance, and API tests. Integrate automated tests into CI/CD pipelines for continuous testing. Collaborate with development teams to ensure testability of features and early defect detection. Analyze test results, troubleshoot failures, and report issues to development teams. Enhance test coverage by identifying critical scenarios and edge cases. Work with cross-functional teams to define quality standards and best practices. Stay up to date with emerging automation tools, frameworks, and testing methodologies. Requirements Around 3+ years of experience in test automation development. Proficiency in test automation frameworks (e.g., Selenium, Cypress, Appium, Playwright). Strong experience in programming languages such as Python, Java, JavaScript, or TypeScript. Hands‑on experience with API testing (Postman, REST Assured, or similar). Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI). Experience with version control systems (Git) and test management tools (TestRail, Zephyr). Strong understanding of software testing principles, SDLC, and agile methodologies. Knowledge of performance and load testing tools (JMeter, Gatling) is a plus. Experience testing mobile applications (iOS & Android) is a plus. Strong analytical and problem‑solving skills with a keen attention to detail. What benefits are we offering? Apple hardware ecosystem for work. Annual Bonus. Medical Insurance (including vision & dental). Disability insurance - short and long-term. 401k up to 4% contribution. Air Conference - an opportunity to meet the team, collaborate, and grow together. Transportation budget Free meals at the hub Gym membership Diversity & Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. Application Disclaimer At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI‑generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification. #J-18808-Ljbffr

A tech bio company in San Francisco is seeking a QA Engineer, Scientific Software to ensure the integrity of their AI Co-Scientist. This role requires a PhD-level candidate with experience in drug development and omics data. You will create automated tests, develop validation frameworks, and work closely with engineers to ensure scientific accuracy. This impactful position combines scientific understanding with software quality engineering, contributing to breakthroughs in biotechnology. Comprehensive health benefits and a vibrant office culture in SF are part of the offer. #J-18808-Ljbffr

We are seeking a detail-oriented and methodical Quality Assurance (QA) Analyst to join our QA team. The ideal candidate will be responsible for reviewing and testing software to ensure it meets quality standards and business requirements. This role involves working closely with developers, business analysts, and product managers to identify and resolve bugs and to improve the overall software development lifecycle. Requirements Analyze business and functional requirements to create detailed, comprehensive, and well-structured test plans and test cases. Execute manual and automated tests to identify software issues and ensure product quality. Detect, document, and track bugs and defects, and work closely with development teams to resolve them. Perform regression testing and ensure timely delivery of high-quality software. Participate in daily stand-ups, sprint planning, and other Agile ceremonies. Collaborate with cross-functional teams to ensure consistent project delivery and process improvement. Provide input into software design and usability from a QA perspective. Maintain QA documentation and contribute to best practices. About the Company Here at VKare Corp., our mission goes beyond providing technology solutions. We help our clients achieve the highest level of operational excellence so they can focus on what matters - their core business. Through our comprehensive range of services, we ensure our clients stay ahead in the ever-changing technology landscape and maximize their overall success. #J-18808-Ljbffr

A leading procurement technology company in San Francisco is seeking a Head/Director of Marketplace Performance to enhance engagement in their marketplace. This role involves cross-functional leadership, KPI management, and strategic development to improve buyer and supplier experiences. Ideal candidates will have over 8 years of relevant experience and strong analytical skills. Competitive compensation and a remote-flexible culture are offered. #J-18808-Ljbffr

Ammobia is on a mission to revolutionize the ammonia industry. We are a seed-stage startup developing Haber Bosch 2.0 - a next-generation ammonia synthesis process enabling cost-effective, clean ammonia production. Clean ammonia will support ammonia's growing role in our decarbonized world, tackling some of the most difficult to abate sectors including chemicals, fertilizers, and heavy-duty transportation. We are supported by leading climate tech organizations including Starlight Ventures, the Department of Energy, Collaborative Fund, Third Derivative, and more. Job Description Ammobia is seeking a build-anything engineer to lead our Test Engineering function. You will be responsible for the design and iterative development of hardware systems to test, demonstrate, and optimize Ammobia's proprietary reaction and separation processes. You and your team will deliver custom equipment to Ammobia's R&D and Process teams and therefore work with the full technical team of chemical, process, and materials engineers. Who you are You are a hands on, build-focused engineer with deep industrial expertise designing and delivering complex gas processing systems. You come from aerospace, chemicals, or energy, and you build systems beginning with first-principles understanding. You enjoy working closely with scientists and engineers across the company to develop and deliver on functional requirements. You enjoy fast paced, creative, and collaborative work; you work with a bias towards action and overcommunication; and you thrive with high levels of autonomy and ownership. There is significant opportunity to grow your role alongside the company. Responsibilities may include: Successful applicants will have most of the following qualifications. Responsibilities Own hardware design, integration, and delivery for Ammobia's pilot reactor and process systems Lead a team of 1-5 engineers and technicians to integrate mechanical, electrical, and controls subsystems Generate hardware system requirements and success criteria in close collaboration with R&D and process teams Design and procure custom equipment including pressure vessels, structural supports, flow and pressure controllers Build, integrate, shakedown, commission, and handoff process systems to R&D and process teams After successful pilot, translate designs to larger-scale system deployments with system fabricators and EPCs Build and maintain P&IDs, BOMs, 3D models, and similar Continuously upgrade, maintain, and build new bench scale systems to support R&D Qualifications 5+ years industrial experience in gas processing for chemical, energy, aerospace, or similar field Hands on experience designing + building research and pilot scale gas processing equipment, including ownership of and blank-sheet design of P&IDs, models, BOMs Experience leading design and build activities on small teams Hands on experience commissioning and troubleshooting complex hardware systems Experience leading system safety reviews for gas handling equipment, including HAZOP, PHA, or similar Demonstrated experience working with fabricators and vendors firms to design and procure custom hardware Working knowledge of electrical and control system design (PLC programming experience big plus) Working knowledge of Python and/or MATLAB, especially for time series data analysis Demonstrated experience designing tests/experiments on pilot scale chemical process systems Deep expertise in thermodynamics, fluid mechanics, and heat transfer Hands on experience building gas handling hardware, such as with swagelok tubing, mass flow controllers, heaters, pressure vessels, etc BS (MSpreferred) in mechanical engineering or similar Prior startup experience Nice-to-have Expertise in catalysis and reaction engineering, gas separations Expertise in unit operation modeling or similar Expertise in PLC programming expertise Demonstrated expertise in data analysis of time series processes $150,000 - $200,000 a year Benefits include: Competitive equity grants 100% of premiums paid for healthcare, dental, vision, life insurance 401k Gym benefit Regular team social events Paid time off, including closure between Christmas and New Years Who we are We are a small and passionate team of scientists and engineers. We value teamwork, accountability, open communication, and rapid iteration. We emphasize career growth, mutual feedback, and a fun and exciting working environment. Check out ammobia.co/careers for our full values statement and ammobia.co/team to learn more about us. The position is full-time and in-person in San Francisco, CA. Compensation and job title will be commensurate with experience. #J-18808-Ljbffr

Wanna join the adventure? As a Test Engineer at Loft Orbital, you will contribute to the design execution, and improvement of test processes that ensure the reliability and performance of Loft's space hardware. You'll work hands‑on with a range of systems-from subsystems to full spacecraft-supporting environmental, functional, and automated campaigns. You will collaborate closely with design, manufacturing, and software teams to develop test plans, execute procedures, and analyze results to ensure our satellites and components meet mission requirements. This role offers the opportunity to deepen your technical expertise in testing complex aerospace hardware while working in a fast‑paced and collaborative environment. About the Role Support the design, development, and execution of test procedures, setups, and instrumentation for spacecraft and subsystem‑level testing. Participate in the development and implementation of automated and manual test equipment, fixtures, and/or ground support equipment (GSE). Execute and document environmental and functional tests, including vibration, thermal, thermal vacuum (TVAC), and EMI. Collect, analyze, and interpret test data; generate reports and document results, flags, and non‑conformances. Collaborate cross‑functionally to ensure tests align with mission requirements, schedules, and quality standards. Contribute to process improvement initiatives for test documentation, configuration control, and data management. Must Haves Bachelor's degree in Electrical, Mechanical, Aerospace, or Systems Engineering, or equivalent experience. 3-7 years of experience in aerospace or related hardware testing. Working knowledge of test methods and environmental test standards (e.g., GEVS, MIL‑STD). Ability to interpret engineering drawings, schematics, and test specifications. Familiarity with data acquisition systems, instrumentation, and control systems. Experience with scripting or automation tools (e.g., Python, MATLAB, LabVIEW). Strong problem‑solving skills and attention to detail. Comfortable working hands‑on with hardware and in test lab environments. Nice to Haves Experience with Electrical Ground Support Equipment (EGSE). Exposure to requirements verification and validation processes. Experience supporting satellite or aerospace test campaigns, including environmental testing. Familiarity with data management tools or configuration control systems. Willingness to support off‑hours or weekend testing when required. Benefits 100% company‑paid medical, dental, and vision insurance option for employees and dependents. Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA. 100% employer‑paid Life, AD&D, Short‑Term, and Long‑Term Disability insurance. Flexible Time Off policy for vacation and sick leave, and 12 paid holidays. 401(k) plan and equity options. Daily catered lunches and snacks in office. International exposure to our team in France. Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non‑birthing parent. Carrot Fertility provides comprehensive, inclusive fertility healthcare and family‑forming benefits with financial support. Off‑sites and many social events and celebrations. Relocation assistance when applicable. Salary: $100,000 - $135,000 a year. * Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and flexible way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end‑to‑end missions as a service across Earth observation, IoT connectivity, in‑orbit demonstrations, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years‑long integration and launch timelines to months. With more than 25 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. At Loft, you'll be given the autonomy and ownership to solve significant challenges, but with a close‑knit and supportive team at your back. We believe that diversity and community are the foundation of an open culture. We are committed to hiring the best people regardless of background and make their time at Loft the most fulfilling period of their career. We value kind, supportive and team‑oriented collaborators. It is also crucial for us that you are a problem solver and a great communicator. As our team is international, you will need strong English skills to better collaborate, easily communicate complex ideas and convey important messages. With 4 satellites on‑orbit and a wave of exciting missions launching soon, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. #J-18808-Ljbffr

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking a senior automation and controls engineer to design and implement cutting-edge robotic automation systems. You will work alongside our robotics and machine learning engineers to deploy the Skild Brain into a wide variety of production settings. You will also help create automated solutions and testing systems to help us scale our robot fleet. Your work will directly impact the large scale integration and adoption of our general purpose robotic brain for practical economic problems around the world. Responsibilities Design, implement, and maintain automation solutions leveraging our AI models for various real-world problems Develop solutions leveraging PLCs, vision sensors, and/or other systems to assist with large-scale robot brain deployment and testing to help us improve our models Collaborate with robotics and machine learning engineers and scientists to integrate our existing robotic stack into production environments Preferred Qualifications More than 3+ years of industry experience Degree in ME/EE/Robotics/Controls or equivalent experience. Very comfortable with PLCs, vision, sensors, actuators, and end-to-end component integration Built, launched, and sustained production automation and robotic systems on real lines Knowledge of industrial standards and plant protocols Strong systems-level understanding of the various software modules and their interfaces in typical robotic applications Base Salary Range $100,000 - $300,000 USD #J-18808-Ljbffr

The Bigger Picture At Andromeda Robotics, we're not just imagining the future of human-robot relationships; we're building it. Abi is the first emotionally intelligent humanoid companion robot, designed to bring care, conversation, and joy to the people who need it most. Backed by tier-1 investors and with customers already deploying Abi across aged care and healthcare, we're scaling fast, and we're doing it with an engineering-first culture that's obsessed with pushing the limits of what's possible. This is a rare moment to join: we're post-technical validation, pre-ubiquity, and building out the team that will take Abi from early access to global scale. Our Values Empathy - Kindness and compassion are at the heart of everything we do. Play - Play sharpens focus. It keeps us curious, fast and obsessed with the craft. Never Settle - A relentless ambition, bias toward action, and uncomfortable levels of curiosity. Tenacity - Tenacious under pressure, we assume chaos and stay in motion to adapt and progress. Unity - Different minds. Shared mission. No passengers. The Role We are looking for a creative and driven Simulation and Test Engineer to own the simulation and test infrastructure, and be responsible for developing the Abi acceptance criteria that underpins both Abi's autonomous navigation and conversational AI & embodied behaviours, ideally both, but a deep understanding in at least one of these areas is essential. Your work will set the foundations for us to extend those simulation environments to generate synthetic data for our Machine Learning (ML) models. The Team You'll work at the intersection of: Conversational AI Robotics & controls Perception & audio engineering Autonomy Platform engineering You'll collaborate closely with product owners and technical leads to define requirements and their test case and be the custodian of quality across our autonomy and AI/ML stack. Your work will directly impact the speed and quality of our development, ensuring that every software build is robust, reliable, and safe before it ever touches physical hardware or real users. We know this is quite a specialised skill set, so if you have experience across at least ~60% of what we're looking for, we'd still love to hear from you! You might still be a great right fit. What You'll Do Architect & Build Simulation and Test Platforms Design, develop and maintain a scalable, high-fidelity simulation platform for Abi that supports both navigation and embodied interaction use cases. Own sim-to-real and test-to-deployment: Develop robust CI/CD pipelines for automated testing in simulation and synthetic test environments, enabling rapid iteration and guaranteeing software quality before deployment onto our physical robots. Model with fidelity: Implement accurate models of Abi's hardware, including sensors (cameras, microphones, LiDAR, etc.), actuators, kinematics and upper-body motion as needed for both navigation and interaction scenarios. Develop Worlds, Scenarios and Test Suites Develop virtual worlds and test scenarios: Navigation-focused environments (indoor facilities, dynamic human traffic, obstacles, edge cases) Conversational & social interaction scenarios (multi-speaker audio scenes, social group configurations, gesture contexts) Conversational AI & memory testing: Build synthetic test environments for: Voice-to-voice conversational quality and response appropriateness Tool-calling / action selection behaviour Memory systems - context retention, recall accuracy, conversation coherence Perception & audio testing: Create test suites and synthetic scenes for: Social awareness (face detection, gaze tracking, person tracking) Audio modelling (multi-speaker, room acoustics, noise conditions, VAD) Gesture / embodiment testing: Working with Controls/ML, create infrastructure to validate that Abi's body gestures and animations are appropriate, synchronised and safe in real and simulated interactions. Own Quality, Metrics and Regression Custodian of quality metrics: If they don't exist, work with stakeholders to elicit use cases, derive requirements, and define measurable quality metrics for navigation, conversational AI, audio, perception and gesture. Formalise requirements and traceability: Capture requirements and trace them through to test cases and automated regression suites. Analyse and improve: Build dashboards, tools and analysis pipelines to mine test and simulation data, identify bugs, track performance over time, and feed actionable insights back to engineering teams. Scale to Synthetic Data & ML Training Extend test environments into training data generation pipelines, working closely with character and autonomy teams. Investigate and stand up simulation tools (e.g. Unity, Unreal Engine, Isaac) to generate high-fidelity synthetic interaction data at scale for: Character animation and gesture models Perception models (vision, audio, social awareness) Navigation & planning in human-centred environments Enable ML-generated gesture and navigation behaviours to augment hand-crafted workflows, and help validate them in rich, multi-actor simulated scenarios. Ideally You Have Education Bachelor's degree in Computer Science, Robotics, Engineering, or a related field (Master's preferred but not required). Experience ~5+ years of professional experience building simulation and/or test infrastructure for complex systems such as robots, autonomous vehicles, drones, conversational AI systems, perception systems or embodied AI. Strong programming proficiency in Python (essential) and C++ (valuable). Hands‑on experience with at least one or more robotics simulation platforms e.g.: NVIDIA Isaac Lab / Isaac Sim, Gazebo, CARLA, AirSim, or similar Physics engines such as PhysX, MuJoCo, etc. Solid understanding of core robotics principles: kinematics, dynamics, perception and control. Experience testing AI/ML systems, ideally at least one or more of: #J-18808-Ljbffr

As a Robot Test Engineer, your role is critical to ensuring that robot systems integrating into our growing robot fleet meet performance requirements and are reliable. You will work with robot systems across a range of maturity levels from early prototypes to production systems. You will be responsible for creating test systems and test processes/documentation, executing tests on robotic systems, and engaging with members of the hardware engineering and software engineering teams to resolve issues that arise during test. Key Responsibilities Test Process Development: Create test processes and documentation for robotic systems. Test Setup Development: Build and maintain robot test systems, explore ways to automate testing, etc. Test Execution: Complete functional, environmental, and reliability testing of robot systems, assemblies, and components ranging across different maturity levels from early prototypes to production robot systems. Collect data, analyze data, and compile data into reports to communicate results broadly. Test Failure Investigation: Perform root cause analysis from test failures and work with engineers to resolve and drive corrective actions. Cross Functional Collaboration: Engage with hardware and software teams to align on test processes and to resolve issues observed during testing. Required Competencies & Skills Education: B.S. in Robotics, Mechatronics, Systems Engineering, Electrical Engineering or equivalent experience Experience: 4+ years of hands on experience in hardware test engineering, product validation, or quality assurance for electromechanical or robotics systems Hardware Knowledge: Proficiency debugging electromechanical systems including actuators, PCBs, cameras, wiring harnesses, and communication hardware. Systems Knowledge: Strong understanding of mechanical, electrical, and software interactions in robotic systems Software Knowledge: Basic scripting to understand robot testing code development from runtime/robot software team. Data Analysis & Processing: Ability to process data (i.e. Excel, Matlab, Python, etc.) to analyze and create graphics. Hands on Skills: Building test fixtures, performing diagnostics, and using standard lab equipment (oscilloscopes, multimeters, environmental chambers, etc.) Strong Communication: Excellent written and verbal communication, particularly in technical documentation. Other Facets: High attention to detail, highly organized, capable of supporting multiple test campaigns in parallel, ability to work in a highly dynamic start up environment (adaptable/not rigid to specific test standards). #J-18808-Ljbffr

FranklinWH is a rapidly expanding company determined to become the leader in the global energy home storage system (ESS) industry. FranklinWH offers whole home energy solutions typically coupled with solar PV systems, bringing households into the modern all-electric future. Though founded by experts in power electronics, BMS and EMS, FranklinWH is equally focused on energy management software while also providing top level service to our partners and customers. FranklinWH is expanding its global footprint, relying on an industry leading supply chain. This is an exciting time to be at a fast-growing company in a fast-accelerating industry. We are seeking a skilled Controls / Automation Engineer to support and optimize our manufacturing automation systems. This role involves PLC and HMI/SCADA programming, system commissioning, troubleshooting, and collaboration with cross-functional teams and vendors. The ideal candidate brings hands-on experience in industrial automation, strong problem‑solving skills, and the ability to support the rapid ramp‑up of our production lines. Responsibilities Resolve daily software issues and implement continuous system optimizations and upgrades to enhance production line performance and reduce dependence on the equipment manufacturer. Collaborate with the equipment vendor to ensure a thorough handover and knowledge transfer for seamless operations. Participate in equipment commissioning and familiarize with systems for the development of the second production line, supporting a smooth and rapid ramp‑up. Qualifications And Experience Bachelor's degree in Electrical, Control Systems, Mechatronics, or related engineering field. 5+ years of direct controls engineering experience in a manufacturing automation environment. Demonstrated expertise with Siemens PLCs (S7 series, TIA Portal, Safety Integrated). Experience configuring and debugging Cognex Vision Pro systems. Hands‑on experience with industrial communication protocols (Profinet, Profibus, EtherNet/IP, OPC UA). Motion control / servo drive / VFD experience and integration. Experience in KUKA/ABB robot operation and debugging. Strong knowledge of safety system logic, interlocks, electrical design, and best practices. Proven track record of commissioning, field debug, and production troubleshooting. Excellent documentation skills and ability to produce functional specifications, wiring diagrams, etc. Fluency in English and Chinese (both written and oral). Strong interpersonal skills to coordinate across engineering, operations, and supplier groups. Experience working with Chinese automation vendors. FranklinWH offers a competitive salary plus fully comprehensive benefits and a performance bonus package based on an annual objective achievement. This is a full-time position. Our generous benefits package includes: Benefits 401(k) Retirement Plan. Medical/dental/life/disability program. PTO, and sick days. Life insurance and long-term disability. FranklinWH is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. #J-18808-Ljbffr

A cutting-edge manufacturing innovation firm in Menlo Park is seeking a Head of Controls Engineering to design and lead complex control systems for software-defined factories. This is a pivotal role that requires 7+ years in controls engineering, knowledge in PLC programming, and experience integrating robotics with software platforms. Join us to redefine manufacturing with AI technology and be part of a growing startup culture focused on high-stakes challenges. #J-18808-Ljbffr

About Skild AI At Skild AI, we're building the world's first general-purpose robotic intelligence-systems that can robustly adapt to unseen environments without failure. We believe large-scale, data-driven machine learning is the key to unlocking widespread real-world robotics deployment. Our team spans from early-career engineers to industry veterans. While experience matters, we prioritize demonstrated ability, curiosity, and execution. We're looking for engineers who are excited to tackle unsolved problems and build systems that operate at real-world scale. The Role We're seeking a Senior Automation & Controls Engineer to design and deploy advanced robotic automation systems. You will work closely with robotics and machine learning engineers to bring the Skild Brain into live production environments. You'll also help build automated systems for testing, validation, and scaling our growing robot fleet. This role sits at the intersection of AI, robotics, and industrial automation, with direct impact on real-world deployments across multiple industries. What You'll Do Design, implement, and maintain automation systems powered by Skild AI models Develop PLC- and vision-based solutions to support large-scale robotic deployment and validation Build automated testing infrastructure to improve data quality and model performance Collaborate with robotics and machine learning teams to integrate Skild's robotic stack into production environments Support real-world deployments, system tuning, and ongoing operational improvements What We're Looking For 3+ years of industry experience in automation, controls, or robotics engineering Degree in Mechanical Engineering, Electrical Engineering, Robotics, Controls, or equivalent hands‑on experience Strong hands‑on expertise with PLCs, vision systems, sensors, actuators, and full system integration Experience building, launching, and sustaining production-grade automation or robotic systems Knowledge of industrial automation standards and plant communication protocols Strong system-level understanding of robotics software stacks and module interfaces Why Skild AI Work on general‑purpose robotic intelligence at real‑world scale Deploy AI-powered automation into live production environments Collaborate with top robotics and machine learning engineers Operate in a fast-moving, execution-focused engineering culture Play a key role in scaling intelligent robotic systems globally #J-18808-Ljbffr

A leading AI-enabled manufacturing firm in San Francisco seeks an Automation Controls Engineer to design and develop automated solutions for robotic systems. This role involves programming PLCs, analyzing customer needs, and creating system requirements. Ideal candidates have a BS or MS in Electrical or Computer Engineering and experience with Beckhoff PLCs and Python. Join a team that values creativity and innovation in transforming manufacturing processes. #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

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role We are seeking a talented Site Reliability Engineer (SRE) to join our SuperComputing team. In this role, you'll ensure the reliability, scalability, and performance of our high-performance computing (HPC) infrastructure, powering cutting-edge AI research. You'll collaborate with cross-functional teams to build and maintain systems that support massive-scale data processing and model training. You\'ll ensure Grok stays reliable for millions while inventing new approaches at the intersection of SRE and cutting-edge AI to help define the future of AI reliability engineering. What You'll Do Design, implement, and maintain robust, scalable infrastructure for supercomputing environments. Monitor and optimize system performance, ensuring high availability and minimal downtime. Develop automation tools and scripts to streamline operations and improve system reliability. Troubleshoot complex issues across distributed systems, networks, and storage solutions. Collaborate with AI researchers and engineers to support compute-intensive workloads. Implement security best practices to protect sensitive data and infrastructure. Contribute to capacity planning and disaster recovery strategies. Participate in an on-call rotation to ensure 24/7 system reliability. Ideal Experiences Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 3+ years of experience in site reliability engineering, DevOps, or systems engineering. Proficiency in Linux system administration and scripting (e.g., Python, Bash). Experience with containerization (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). Strong understanding of networking, distributed systems, and storage technologies. Familiarity with HPC environments, GPU clusters, or large-scale data processing. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Strong communication skills and a collaborative mindset. Bonus: Experience with Infrastructure as Code (e.g., Terraform, Ansible) or monitoring tools (e.g., Prometheus, Grafana). Location This role is based in the Bay Area (San Francisco and Palo Alto). Candidates are expected to be located near the Bay Area or open to relocation. Tech Stack Languages: Rust, Python, C++, Golang Interview Process Application Review: Submit your CV and a statement of exceptional work. Our team will review your application to assess fit. Phone Interview (45 minutes): A brief conversation with a team member to discuss your background, key accomplishments, and motivation. Main Interview Process 1 Coding assessment: Solve problems in Rust, Python, C++, or Golang 1 Skill Specific Technical Interview: Demonstrate practical skills in a live problem-solving session. 1 SRE/System Case Study: Analyze and solve a complex, real-world system design or operational problem, demonstrating your technical expertise, problem-solving skills, and ability to optimize system reliability and performance. Project Deep-Dive: Present your past exceptional work to a small audience. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice #J-18808-Ljbffr

A leading software company in San Francisco seeks a QA Automation Engineer to design and maintain automated test frameworks. The ideal candidate has over 3 years of experience in test automation and strong programming skills. You will collaborate closely with developers and QA teams to ensure our apps meet high-quality standards. This role offers a chance to work in a dynamic environment with a focus on performance, reliability, and efficiency. #J-18808-Ljbffr

ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a QA Engineer, Scientific Software to build the test, validation, and monitoring infrastructure that guarantees the correctness and reliability of the Mithrl AI Co-Scientist. This role requires a PhD-level scientist or computational biologist who understands the drug development lifecycle and who has hands‑on experience with omics data. Without this scientific foundation, it is not possible to evaluate whether Mithrl's outputs are biologically meaningful. You will create automated tests for analysis workflows, ingestion pipelines, and discovery applications. You will build CI systems that catch regressions early, set up monitoring and alerting for system behavior, and ensure that every module in Mithrl produces scientifically valid and reproducible outputs. This role bridges scientific understanding with software quality engineering and is critical for maintaining trust in Mithrl's analysis engine. If you are a scientist with a passion for product reliability, reproducibility, and validation of ML powered scientific tools, this is a uniquely impactful position. WHAT YOU WILL DO Build automated test infrastructure for data ingestion, analysis modules, discovery applications, and new product features Develop scientific validation frameworks that check correctness and reproducibility of ML driven biological analyses Establish CI workflows that run end to end tests on every commit and catch scientific and computational regressions Build monitoring and alerting systems that track the health, performance, and scientific integrity of product modules Design automated checks for omics workflows Validate that responses generated by Mithrl align with biological logic and expectations from discovery and preclinical development Work closely with ML engineers, data engineers, and application scientists to ensure scientific accuracy across releases Maintain documentation, data fixtures, and gold standard datasets for regression testing Support the development of QA processes that scale with rapid product growth and new analysis capabilities Build a culture of scientific correctness and software reliability throughout the engineering and product teams WHAT YOU BRING Required Qualifications PhD in biology, computational biology, bioinformatics, systems biology, or a related discovery field Deep understanding of the drug discovery and preclinical development lifecycle Hands‑on experience working with omics data such as transcriptomics, RNA‑seq, proteomics, ATAC‑seq, single cell datasets, or imaging‑derived features Ability to evaluate whether a result, analysis, or insight is scientifically correct based on domain knowledge Familiarity with common discovery analyses such as differential expression, enrichment, pathway reasoning, target scoring, and feature importance Experience with Python or similar languages and comfort with scientific computing workflows Strong interest in software quality, reproducibility, and validation of ML driven scientific systems Excellent communication skills and ability to partner with engineers and scientists Nice to Have Experience building automated tests or QA frameworks for scientific or ML systems Experience with workflow engines, scientific pipelines, or reproducibility tools Familiarity with CI tools and modern software development practices Experience validating outputs of AI powered analysis tools Previous work in a tech bio company or computational platform environment WHAT YOU WILL LOVE AT MITHRL High ownership: You will be the guardian of scientific correctness and reliability inside the AI Co-Scientist Impact: You will work with cutting edge ML, multi modal data, and real discovery workflows Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. #J-18808-Ljbffr

Wanna join the adventure? Loft Orbital's mission is to make space simple for organizations that need to collect information about the Earth. We provide space infrastructure as a service where multiple customer payloads are flown on a single spacecraft platform through Loft's in-house Payload Accommodation Module. The Embedded Test Engineer will be responsible for establishing and maintaining a robust, reliable test pipeline embedded software within the Hardware group. You will work with Loft Orbital's engineering, software, and integration teams to verify the performance of internal avionics hardware, firmware and software to improve design iteration and continuous integration efforts. You will help to define the processes and standards for version control and work closely with the engineering teams to ensure flight readiness for orbit. You will be a critical part of ensuring we are delivering the right high quality hardware products to both internal teams as well as our external customers. About this Role Work with the Loft development team to test, validate and verify internally developed products, and ensure successful delivery of final flight products to missions Software and firmware test development and automation at unit and sub-system level for flight systems (avionics, communication and power distribution) Ownership of the test procedures and execution of product testing using Loft's in-house software tools Execute roadmaps of next generation products and provide testing flows, including activities to prepare for verification and qualification of product development efforts Support scaling up test infrastructure towards productization Define and implement functional testing and regression testing for embedded systems to support Hardware in the Loop (HIL) and assembly/integration teams Must Haves 5+ years in software/firmware testing and SW/HW integration, a plus if in aerospace Bachelor's Degree in software engineering, computer science, electrical engineering or equivalent Recent Python experience automating tasks/test frameworks and interacting with shell environments Strong familiarity with Linux and scripting tools/languages Testing and troubleshooting experience with digital, analog and high-speed interfaces, including various communication protocols (CAN, UART, SPI, I2C, ETH, SpaceWire, etc.) Hands on experience with deploying embedded software to hardware at medium to large scales (>100 units/year) Have experience creating detailed Test Procedures for development and software Entrepreneurial, need to be able to find and manage own work Experience with one or more continuous integration tools (Gitlab Preferred Nice to Haves Experience testing high speed interfaces like Ethernet, Spacewire, Cameralink, PCIe Understanding of how to create, configure, and manage Docker containers Recent experience setting up Gitlab CI/CD pipelines Experience with Vivado or other FPGA design/build systems and their test tools Experience with Yocto Ptest or testing and deploying Yocto distributions Comfortable interacting with remote test equipment and troubleshooting issues Some of Our Awesome Benefits 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks International exposure to our team in France Fully paid parental leave; 14 weeks for primary caregiver and 10 weeks for secondary caregiver Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable $125,000 - $175,000 a year State law requires us to tell you the base compensation range for this role, which is $125,000 - $175,000 per year. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. Can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. * Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and flexible way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, in-orbit demonstrations, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 25 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. At Loft, you'll be given the autonomy and ownership to solve significant challenges, but with a close-knit and supportive team at your back. We believe that diversity and community are the foundation of an open culture. We are committed to hiring the best people regardless of background and make their time at Loft the most fulfilling period of their career. We value kind, supportive and team-oriented collaborators. It is also crucial for us that you are a problem solver and a great communicator. As our team is international, you will need strong English skills to better collaborate, easily communicate complex ideas and convey important messages. With 4 satellites on-orbit and a wave of exciting missions launching soon, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France. As an international company your resume will be reviewed by people across our offices so please attach a copy in English. #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