Quality assurance tester jobs in Milpitas, CA - 1,333 jobs

We, Alibaba Overseas Engineering & TPM team, are seeking for a highly skilled and experienced Construction Quality Assurance Expert/On-site Testing & Commissioning Supervisor to join our dynamic and innovative team. Our team is dedicated to the design, construction, testing & commissioning and optimization of public cloud infrastructure and facilities. This multidisciplinary group combines expertise in electrical, mechanical and civil engineering, construction progress management, construction quality management to ensure delivery of high-performance environments that support critical IT equipment needs. In this role, you will be responsible for ensuring the successful testing and commissioning of our electrical and mechanical facilities, with a focus on spending at least 30% of your working time on construction sites. You will be accountable for the following key responsibilities, 1. Site Supervision and Coordination 2. Facility Testing and Commissioning 3. Documentation and Reporting 4. Compliance and Quality Assurance 5. Escalation and Stakeholder Engagement Minimum qualification: - A minimum of 5 years of proven experience in facility testing and commissioning, with a strong track record of successful construction project delivery. - Excellent communication and stakeholder management skills, with the ability to present technical information to both technical and non-technical audiences. - Proficiency in developing and executing comprehensive testing and commissioning plans, as well as interpreting and documenting test results. - Bachelor's degree in Engineering (Electrical, Mechanical or a related field) Preferred qualification: - Extensive knowledge of electrical and mechanical infrastructure, including but not limited to power, cooling, ventilation, fire-fighting, plumbing, drainage and monitoring. - Excellent problem-solving and analytical skills, with the ability to identify and resolve complex technical issues. - Strong project management and coordination skills, with the ability to work effectively with cross-functional teams. - Master's degree in Engineering (Electrical, Mechanical or a related field) - Professional engineer (PE) is preferred. The pay range for this position at commencement of employment is expected to be between $133,200 and $219,600/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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 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 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 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

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

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 leading technology company is seeking a Principal / Senior GPU Software Performance Engineer in San Jose, CA. This role involves optimizing GPU workloads for training performance, enhancing throughput, and resolving bottlenecks in distributed systems. The ideal candidate will have strong skills in GPU performance engineering and experience with deep learning frameworks, particularly PyTorch. This position offers a chance to work in a collaborative environment focused on innovation and inclusivity. #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 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 Develop Test Scenarios: Create diverse audio environments, multi-actor social scenarios, and edge cases to rigorously test Abi's conversational and social capabilities 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 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. Please note: At this time, we are generally not offering visa sponsorship for this role. #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

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies. We guarantee 15-25 hours per week with an hourly pay of between $25/hr. and $45/hr., depending on the In-Home Usage Test project. No experience required. There is no payment required in order to apply or to work as an In-Home Usage Tester. You don't have to buy products or pay for shipping, everything is paid by our company. In-Home Usage Testers are considered independent contractors, we pay weekly every Wednesday by direct deposit or by cheque. Online Consumer Panels America is a consulting firm that specializes in product testing and product development work. We design and conduct In-Home Usage Testing (IHUT) locally and nationally to provide actual user feedback in real-time to companies and market research firms to evaluate products to ensure proper product certification and greater market access. It is important to note that during your application process, reputable market research companies will determine your demographics and consumer profile to establish what products would be suitable for you to test. Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the representative sample needed. Participation in these product testing and consumer panels is always free, secure and private. In-Home Usage Testing is a quick, easy and fun way to make extra cash by telling big brands what you think about their upcoming products and services in the American market. Main Duties: Properly document In-Home Usage Tests as instructed in the In-Home Usage Test Daily Schedule (screenshots, audio recordings, videos, product journal entries, etc.) Take care of the product being tested and use it responsibly Read and strictly follow the In-Home Usage Test Daily Schedule provided with each product testing project (may include tasks such as unpacking, reading instructions, journal entries, online or mobile feedback, usage of product for a certain amount of time, writing reviews, taking pictures, etc.) Some In-Home Usage Tests projects may require participants to use MFour's Mobile In-Home Use Test Technology (cutting-edge smartphone technology to capture Point-of-Emotion insights to gain unparalleled depth of responses) There are times when the product being tested may be discussed in a private chat room that is opened by a market research firm Write reviews as requested in the In-Home Usage Test Daily Schedule for each project Requirements: Ability to follow specific instructions Excellent attention to detail and curious spirit Be able to work 15-25 hours per week and commit to a certain routine Have access to a computer and a reliable internet connection Have access to a digital camera or cell phone that takes pictures -Be honest and reliable -Good communication skills are an asset -18 years or older A paid Product Tester position is perfect for those looking for an entry-level opportunity, flexible or seasonal work, temporary work or part-time work. The hours are completely flexible and no previous experience is necessary. Benefits: Very competitive pay rate Weekly pay Work around your own schedule Learn about an exciting industry Telecommute (you can work from home, work or school) Most of the time you can keep the product you tested

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

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

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 Engineer at Air Apps, you will be responsible for ensuring the quality, functionality, and usability of our applications through manual and functional testing. You will work closely with developers, product managers, and designers to identify issues early, improve test coverage, and deliver a seamless user experience. Your role will be essential in detecting bugs, verifying feature implementations, and validating software stability before deployment. Responsibilities Perform manual testing on web and mobile applications to ensure a seamless user experience. Conduct functional, regression, usability, and exploratory testing across multiple platforms. Develop and execute detailed test plans, test cases, and test scripts. Document and report bugs, working closely with developers to resolve issues. Ensure feature compliance by validating product requirements against test results. Identify edge cases, inconsistencies, and performance issues. Work with cross-functional teams to improve software quality throughout the development lifecycle. Provide clear and structured feedback to enhance product functionality and user experience. Maintain test documentation and contribute to quality assurance best practices. Requirements Around 3+ years of experience in manual and functional testing. Strong understanding of QA methodologies, testing types, and best practices. Experience with test case management tools (e.g., TestRail, Zephyr, Xray). Familiarity with bug tracking systems (e.g., Jira, Trello, Bugzilla). Experience testing web and mobile applications (iOS & Android). Strong attention to detail and ability to identify complex usability issues. Knowledge of API testing (e.g., Postman) is a plus. Ability to work in an agile development environment and adapt to changing priorities. Strong communication and collaboration skills. 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

A forward-thinking robotics company based in San Francisco is seeking a Simulation and Test Engineer to develop and maintain scalable testing infrastructure for their conversational AI systems. The ideal candidate will have a strong background in AI/ML testing, proficiency in Python, and experience with simulation platforms. The role offers a competitive salary range of $150,000 - $250,000 USD based on skills and experience, in a dynamic environment focused on innovation and diversity. #J-18808-Ljbffr

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies. We guarantee 15-25 hours per week with an hourly pay of between $25/hr. and $45/hr., depending on the In-Home Usage Test project. No experience required. There is no payment required in order to apply or to work as an In-Home Usage Tester. You don't have to buy products or pay for shipping, everything is paid by our company. In-Home Usage Testers are considered independent contractors, we pay weekly every Wednesday by direct deposit or by cheque. Online Consumer Panels America is a consulting firm that specializes in product testing and product development work. We design and conduct In-Home Usage Testing (IHUT) locally and nationally to provide actual user feedback in real-time to companies and market research firms to evaluate products to ensure proper product certification and greater market access. It is important to note that during your application process, reputable market research companies will determine your demographics and consumer profile to establish what products would be suitable for you to test. Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the representative sample needed. Participation in these product testing and consumer panels is always free, secure and private. In-Home Usage Testing is a quick, easy and fun way to make extra cash by telling big brands what you think about their upcoming products and services in the American market. Main Duties: Properly document In-Home Usage Tests as instructed in the In-Home Usage Test Daily Schedule (screenshots, audio recordings, videos, product journal entries, etc.) Take care of the product being tested and use it responsibly Read and strictly follow the In-Home Usage Test Daily Schedule provided with each product testing project (may include tasks such as unpacking, reading instructions, journal entries, online or mobile feedback, usage of product for a certain amount of time, writing reviews, taking pictures, etc.) Some In-Home Usage Tests projects may require participants to use MFour's Mobile In-Home Use Test Technology (cutting-edge smartphone technology to capture Point-of-Emotion insights to gain unparalleled depth of responses) There are times when the product being tested may be discussed in a private chat room that is opened by a market research firm Write reviews as requested in the In-Home Usage Test Daily Schedule for each project Requirements: Ability to follow specific instructions Excellent attention to detail and curious spirit Be able to work 15-25 hours per week and commit to a certain routine Have access to a computer and a reliable internet connection Have access to a digital camera or cell phone that takes pictures -Be honest and reliable -Good communication skills are an asset -18 years or older A paid Product Tester position is perfect for those looking for an entry-level opportunity, flexible or seasonal work, temporary work or part-time work. The hours are completely flexible and no previous experience is necessary. Benefits: Very competitive pay rate Weekly pay Work around your own schedule Learn about an exciting industry Telecommute (you can work from home, work or school) Most of the time you can keep the product you tested

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