Quality assurance lead jobs in Fremont, CA - 1,295 jobs

A tech company specializing in workforce solutions is looking for a Senior Brand Media Manager in San Francisco. The role focuses on managing YouTube campaigns and emerging channels like CTV and Audio, specializing in data analysis and cross-functional collaboration. Candidates should have 4-6 years of experience in paid media, particularly on YouTube, along with strong analytical capabilities. The position offers a salary range between $126,000 and $220,500 annually. #J-18808-Ljbffr

A leading Salesforce Implementation Partner in San Francisco seeks a Salesforce QA Lead to execute functional and non-functional testing on the Salesforce platform. Candidates should have at least 4 years of QA experience, preferably with Sales Cloud, Service Cloud, and CPQ. This role involves writing test cases, performing various tests, and managing a small team. An ideal candidate is a self-starter with strong communication skills and eager to grow within the organization. #J-18808-Ljbffr

A tech startup is seeking an experienced Engineering Manager, QA to lead and evolve quality assurance efforts. The role requires strategic insight and hands-on execution in defining quality standards and enhancing QA processes. With 5+ years in QA, including leadership experience, you will work across engineering teams to improve quality without slowing delivery. The ideal candidate has strong technical skills, excellent communication, and a track record of building effective QA strategies to ensure product excellence. #J-18808-Ljbffr

A leading consulting firm in San Francisco is seeking an experienced QA professional specializing in the biotech sector. Candidates should have over 10 years of relevant experience and strong expertise in GMP and GCP regulations. The role involves collaboration with CMC teams and providing QA oversight for clinical trials. Exceptional communication skills are essential. This position offers an opportunity to work in a dynamic and fast-paced environment. #J-18808-Ljbffr

A leading technology firm in San Francisco is seeking a Technical Consultant focused on building automated test frameworks. The ideal candidate will have 3 to 5 years of experience in test automation, proficiency in C# and SQL, and excellent communication skills. This role involves designing test suites, translating requirements into strategies, and contributing to the quality of software implementations. The company offers a comprehensive benefits package, including unlimited paid time off and a wellness benefit. #J-18808-Ljbffr

A technology solutions provider is seeking a detail-oriented Quality Assurance (QA) Analyst to join the QA team. The ideal candidate will review and test software, create test plans, and collaborate with developers to ensure high quality and timely delivery. Important skills include experience with both manual and automated testing, strong analytical abilities, and effective communication in Agile environments. This role supports operational excellence and process improvement in software development. #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

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

About Us Andromeda Robotics is an ambitious social robotics company with offices in Melbourne and San Francisco, dedicated to creating robots that seamlessly and intelligently interact with the human world. Our first robot, Abi, is a testament to this vision-a custom-built platform designed from the ground up to be a helpful aid and intuitive partner in aged care homes. We are a passionate, collaborative team of engineers who solve some of the most challenging problems in AI and robotics. To accelerate our development and ensure Abi's reliability, we are seeking a foundational member to build out our capabilities to train and test our robot in simulation. Our Values Deeply empathetic - Kindness and compassion are at the heart of everything we do. Purposely playful - Play sharpens focus. It keeps us curious, fast and obsessed with the craft. Relentlessly striving - With relentless ambition, an action bias and constant curiosity, we don't settle. Strong when it counts - Tenacious under pressure, we expect problems and stay in motion to adapt and progress. United in action - Different minds. Shared mission. No passengers. The Role We are looking for a creative and driven Simulation and Test Engineer to build Andromeda's testing infrastructure for our conversational AI systems and embodied character behaviours. Your immediate focus will be creating robust test systems for Abi's voice-to-voice chatbot, social awareness perception, and gesture motor control. As this infrastructure matures, you'll extend it into simulation environments for generating synthetic training data for character animation and gesture models. The Team You'll work at the intersection of our character software, robotics, perception, conversational AI, controls, and audio engineering teams. We bring deep expertise from autonomous vehicles and robotics, including simulation backgrounds. You'll collaborate with product owners and technical specialists to define requirements, integrate systems, and ensure quality across our AI/ML stack. Phase 1: Build The Test Foundation Define and stand up synthetic test environments for our AI/ML conversational stack Conversational AI testing: voice-to-voice chat quality, response appropriateness, tool calling accuracy Memory system testing: context retention, recall accuracy, conversation coherence Audio modelling and testing: multi-speaker scenarios, room acoustics, voice activity detection Perception system testing: social awareness (face detection, gaze tracking, person tracking) Gesture appropriateness testing: Working with our Controls/ML team, create test infrastructure to validate that Abi's body gestures CI/CD and automated regression testing for all AI/ML subsystems Custodian of quality metrics: if they don't exist, work with stakeholders to elicit use cases, derive requirements, and establish measurable quality metrics Requirements formalisation: you're skilled at gathering, documenting, and tracing requirements back to test cases Phase 2: Scale To ML Training Infrastructure Our approach to gesture generation requires high-fidelity synthetic interaction data at scale. You'll investigate and build the infrastructure to generate this data, working closely with our character software team to define requirements and validate approaches. Extend test environments into training data generation pipelines Investigate and stand up simulation tools (e.g. Unity, Unreal Engine, Isaac Sim) to support our machine learning pipeline with synthetic data and validation infrastructure Build infrastructure for fine-tuning character animation models on simulated multi-actor scenarios Enable ML-generated gesture development to augment hand-crafted animation workflows Create virtual environments with diverse social interaction scenarios for training and evaluation Success In This Role Looks Like Months 1-3, stabilise our conversational system with automated regression tests and measurable quality benchmarks. By month 6, deliver an integrated simulation environment enabling rapid testing and iteration across our AI/ML stack. You'll design tests that push our systems beyond their limits and find what's brittle. Through trade studies and make-vs-buy decisions, you'll establish the infrastructure, set up automatic regression tests, and trace test cases back to high-level requirements. You'll be the final guardian, verifying that our AI and machine learning systems work as intended before integration with Abi's physical platform. Your work will directly impact the speed and quality of our development, ensuring that every software build is robust, reliable, and safe. Key Responsibilities Architect and Build: Design, develop, and maintain scalable test infrastructure for conversational AI, perception, and gesture control systems Own Testing Pipeline: Develop a robust CI/CD pipeline for automated regression testing, enabling rapid iteration and guaranteeing quality before deployment Test Scenarios: Create diverse audio environments, multi-actor social scenarios, and edge cases to rigorously test Abi's conversational and social capabilitiesli> Model with Fidelity: Implement accurate models of Abi's hardware stack (cameras, microphone array, upper body motion) as needed for test and simulation scenarios Enable Future ML Training: Design test infrastructure with an eye towards evolution into a simulation platform for generating synthetic training data for character animation and gesture models Integrate and Collaborate: Work closely with the robotics, AI, and software teams to seamlessly integrate their stacks into the test infrastructure and define testing requirements Analyse and Improve: Develop metrics, tools, and dashboards to analyse test data, identify bugs, track performance, and provide actionable feedback to the engineering teams Ideally You Have Bachelor or Masters in Computer Science, Robotics, Engineering, or a related field 5+ years of professional experience testing complex AI/ML systems (conversational AI, perception systems, or embodied AI) Strong programming proficiency in Python (essential); C++ experience valuable Hands‑on experience with LLM testing, voice AI systems, or chatbot evaluation frameworks Understanding of audio processing, speech recognition, and/or computer vision fundamentals Experience with testing frameworks and CI/CD tools (pytest, Jenkins, GitHub Actions, etc.) Familiarity with ML evaluation metrics and experimental design A proactive, first‑principles thinker who is excited by the prospect of owning a critical system at an early‑stage startup Bonus Points Experience with simulation platforms (e.g. Unity, Unreal Engine, NVIDIA Isaac Sim, Gazebo) and physics engines Experience with character animation systems, motion capture data, or gesture generation Knowledge of reinforcement learning, imitation learning, or synthetic data generation for training ML models Experience with 3D modelling tools and game engine content creation Understanding of ROS2 for robotics integration Knowledge of sensor modelling techniques for cameras and audio Experience building and managing large-scale, cloud-based simulation infrastructure PhD in a relevant field The expected base salary range for this role, when performed in our San Francisco office, is $150,000 - $250,000 USD, depending on skills and experience. The salary for this position may vary depending on factors such as job‑related knowledge, skills, and experience. The total compensation package may also include additional benefits or components based on the specific role. Details will be provided if an employment offer is made. If you're excited about this role but don't meet every requirement, that's okay-we encourage you to apply. At Andromeda Robotics, we celebrate diversity and are committed to creating an inclusive environment for all employees. Let's build the future together. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #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

A leading specialty retailer in home products is seeking a Sr. QA Engineer to ensure the quality and reliability of its digital commerce platforms. This role involves driving QA strategies, leading testing efforts, and collaborating with multiple teams to deliver exceptional customer experiences. Candidates should have 7-9 years of experience in Quality Engineering or Software Testing and a strong understanding of e-commerce. The position is located in San Francisco, California. #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

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 tech-driven company in San Francisco is looking for a QA Engineer to ensure the quality and usability of applications. This role requires 3+ years in manual and functional testing with strong collaboration skills. You will conduct various testing methods and document findings to improve product functionality. The position offers competitive benefits including medical insurance and an annual bonus. #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

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