Quality assurance analyst jobs in San Francisco, CA - 1,650 jobs

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 forward-thinking technology firm is seeking a Quality Assurance Tester to revolutionize product quality. The ideal candidate will have experience in bug detection and feature testing, with strong attention to detail and communication skills. This role offers a competitive salary ranging from $90,000 to $130,000 and includes equity as part of the compensation package, alongside comprehensive health benefits. #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 robotics company is seeking a Robotics Engineer specializing in Deployment & Testing. The role involves creating automated software tests and ensuring the quality of high-level software and products. Candidates should have a degree in Computer Science or related fields, proficiency in low-level systems languages, and experience in developing and deploying software on robots. The position offers a competitive salary between $100,000 and $300,000 USD. #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 leading tech company is seeking a Web3 Manual QA Engineer based in New York, the Bay Area, or Miami. In this remote-first role, you will ensure the quality of web and mobile applications, collaborating with engineers and product managers. The ideal candidate has over three years in manual QA and experience testing mobile applications and Web3 platforms. Excellent communication and a detail-oriented mindset are crucial for success. #J-18808-Ljbffr

Hamilton AI is creating the operating system for business aviation. Unlike commercial aviation, business aviation lives in the dark ages, think emails, phone and spreadsheets that run most of the operations of operators from 2 aircraft to 1,000 aircraft. Hamilton is here to change that. We offer a fully vertically integrated platform that runs business operations at our customers. Our AI agents are the first point of contact for quote requests and we run these quote requests from A to Z. Think quoting, flight scheduling and optimization, route planning, aircraft tracking, payment processing, and back-office invoicing and payroll. Team Hamilton AI is founded by Wouter Witvoet, who previously founded Secfi.com ($1.5bn AUM) and went on to take his second business public called DeFi Technologies , listed on the NASDAQ under DEFT with a market cap of $1.2bn. Other members are ex-Dropbox, Square, Airlabs, PagerDuty, Playbook, Walt Disney, Getaround, and NASA JPL. Where we're at From January to March 2025, we took part in HF0 Residency-one of the world's most exclusive programs for repeat founders, backed by Google, Andreessen Horowitz, and visionary investors like Naval Ravikant. In just 90 days, we made a year's worth of progress-both in product development and real-world results. Concretely: We went from $150K to $1.5MM in ARR with both small and large enterprises.Raised $7.2M across two rounds most recently February 2025 Funded by leading VCs, including Bling Capital , TTV Capital , Cambrian VC , FJ Labs , Correlation VC , HF0 , Mintaka Ventures, Weekend Fund Where will we be in three months? That's up to us. At Hamilton, you won't just watch the future unfold-you'll shape it. Role Hamilton is building the operating system for charter aviation - software that manages quoting, trip planning, live operations, payments, safety-critical data, and sensitive customer information. Reliability is foundational. As our first QA hire, you will own the quality platform that ensures Hamilton can scale without compromising trust. This is an engineering role, not a manual QA position. You will design and implement the automation frameworks, validation systems, and runtime quality signals that become core infrastructure for our entire engineering organization. Your work defines how code is validated, how regressions are detected, and how confidently we ship into production. You will shape Hamilton's CI/CD pipeline, build the guardrails other engineers rely on, and architect systems that continuously assess product reliability. In an environment driven by AI-accelerated development, your platform becomes the backbone for safe, fast iteration. What You'll Do Architect Hamilton's quality platform - automation frameworks, service-level validation systems, testing infrastructure, and developer tooling. Build end-to-end automated testing systems (unit, integration, API, contract, and E2E) designed for scale and engineer adoption. Integrate deep quality gates into CI/CD: runtime checks, automated regression detection, stability thresholds, and release blocking criteria. Develop service-level quality signals - data integrity checks, operational safety validations, and real-time anomaly detection. Create standardized patterns and libraries that make writing high-quality, testable code the default for every engineer. Build observability into quality: dashboards, failure signatures, flakiness analysis, historical reliability metrics. Partner with infra/platform engineers to ensure test environments are hermetic, reproducible, and production-like. Perform targeted exploratory/manual validation where automation can't yet reach, feeding insights back into the automation platform. Lead root-cause analysis on critical failures and implement systemic fixes that eliminate entire classes of bugs. Establish Hamilton's long-term quality strategy - principles, tooling roadmap, and engineering adoption guidelines. What You Bring 7-12+ years of QA engineering experience with a strong focus on platform-level automation, tooling, and infrastructure. Expertise in modern automation frameworks (Playwright, Cypress, Jest, contract testing frameworks, API testing tools). Strong foundation in backend/API testing, distributed system validation, and data consistency testing. Deep experience integrating automated testing into CI/CD pipelines with clear release-blocking rules. Ability to design scalable frameworks engineers want to adopt - intuitive interfaces, fast feedback cycles, minimal friction. Strong problem-solving skills with a focus on systemic, architecture-level solutions rather than patchwork fixes. High ownership mindset; comfortable defining and driving a company-wide quality strategy. Strong communication and collaboration skills across engineering, infra, product, and leadership. Experience with aviation, payments, logistics, security/PII compliance, or AI-assisted testing platforms. Why Hamilton AI? You own the quality platform - the systems you build determine how Hamilton ships, scales, and maintains trust. Your infrastructure protects operators working with safety-critical data, payment flows, and sensitive PII. You will define the quality culture for the entire engineering org - from CI/CD strategy to runtime validation. Our AI-accelerated development loop gives you leverage to automate aggressively and push quality upstream. You're joining a small, high-performing team where your architectural decisions become foundational Ready to quote smarter and boost revenues? The world's most intelligent private aviation platform #J-18808-Ljbffr

A forward-thinking tech company in San Francisco is seeking experienced Software Engineers to work on their innovative AI-native automated testing platform. With responsibilities ranging from tackling complex engineering challenges to ensuring high-quality software deployment, candidates should possess substantial experience in TypeScript and React. Enjoy a collaborative work culture and a plethora of benefits including unlimited PTO, medical insurance, and fun team events. Relocation is considered, but visa sponsorship is limited. #J-18808-Ljbffr

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

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product! Love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day! Ready to join our RF Design team?The Wireless Module Test Engineer (WMTE) will be responsible for designing and driving strategy for all high-volume RF module tests at the module factories adhering to the internal processes/objectives. Description The WMTE is responsible for research, design, and development of test methodologies at the module vendors for multiple Wireless technologies (Wifi/UWB/GPS/Cellular/NFC). They will need to work with multiple chipsets across wireless technologies and plan the appropriate high volume test strategy. Responsibilities Design, develop, and implement test strategy/methodology across wireless technologies at module factories. Own and debug test stations at module factories. Ensure Wireless module tests are planned around upstream and downstream tests at multiple vendors. Drive module vendors, fixture suppliers and instrument vendors for test implementation. Analyze volume data to finalize test requirements and provide feedback on engineering decisions. Minimum Qualifications BS with 10+ years of relevant industry experience Programming experience in C, C++, Matlab, Python, or other similar languages Hands-on experience with RF lab equipment, expert in working with and programming high-volume automatic test equipment (ATE) testers such as LitePoint, Advantest, and Teradyne Preferred Qualifications Deep understanding of wireless technologies Skilled at driving cross-functional decision-making and collaborating with various test teams (upstream/downstream) to develop a comprehensive end-to-end product testing strategy Highly self-motivated and capable of leading vendors, test partners, and establishing effective test strategies Exceptional expertise in hardware and software integration, problem-solving, and optimization Experienced in data and yield analysis, with proficiency in JMP or similar tools a plus Well-versed in the design, validation, and debugging of DUT control boards Experienced in applying AI/ML to improve test plans, test times, and speed up build learnings Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A leading procurement platform is seeking a Head/Director of Marketplace Performance to drive engagement within the B2B marketplace. This highly strategic role involves developing frameworks to enhance buyer-supplier interactions and enhance marketplace health. The ideal candidate has over 8 years in relevant fields with strong analytical and leadership skills. This position offers competitive compensation, a flexible remote culture, and an opportunity to shape the future of procurement. #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

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

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

Employment Type Full time Department Engineering About Us: We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft. We've been working on this together since 2016, and have customers like OpenAI, Toyota, Figma, Ramp, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide. Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their in the office (including a third day). About The Role: We are looking for an ML Engineer to join our small but nimble AI team whose mission is to make Notion an ML-powered product. As an ML Engineer, you will work on incorporating large language models (LLMs), embeddings, and other AI technologies into Notion's product in a high quality way. You'll be exploring the boundaries of what's possible with ML technology and finding innovative ways to apply new industry learnings to Notion's offering. What You'll Achieve: Work with the team to prototype and experiment with AI model quality improvements, either by fine tuning, prompt engineering, or building new models when needed Productionize and launch new AI technology integrations into Notion's core product Collaborate with cross-functional teams to deliver product features on time Stay up-to-date with the latest AI technologies and trends Skills You'll Need to Bring: Domain Expert, Teacher and Learner: You have experience building AI products using LLMs, embeddings or other ML natural language technologies. 3+ years of experience in one or more of the following areas: machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence. Holistic Problem Solver: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions. Communicate with Care: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates. Impact Driven: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You understand that reach comes with responsibility for our impact-good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals. Nice to Haves: You understand how parts of a system fit together, from the user interface to the data model. You are familiar with relational database systems like Postgres or MySQL, and have experience building products from ground up. You're proficient with data pipeline technologies: Spark, DBT, etc. You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres. You have experience driving teams toward shared goals and can balance business priorities with individuals' strengths, areas of interest, and career development goals. Experience in ranking algorithms, search quality, or related domains is a plus. You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others-and understand why we're big fans of their work. You have interests outside of technology, such as in art, history, or literature. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you're excited about a role but your past experience doesn't align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you're a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $160,000-$220,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion's Global Recruiting Privacy Policy. #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

A cutting-edge aviation technology firm in San Francisco is looking for a QA Engineer to establish their quality platform. The successful candidate will drive automation, design testing frameworks, and integrate quality checks into CI/CD. With over 7 years of experience in QA engineering, you will play a pivotal role in ensuring the reliability of software operations. This role is vital in shaping the quality strategy and culture as the company scales rapidly. Join a small high-performing team dedicated to transforming business aviation operations. #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

We're seeking a Web3 Manual QA Engineer Dynamic started with a simple vision: every app and website will have a wallet. Three years in, that vision is no longer just an idea. It's happening now. Wallets are no longer just for crypto apps. They're becoming the backbone of fintech, payroll, and global remittances. They power faster, cheaper, and more accessible transactions. The best crypto apps, like Ondo Finance, Story, and Magic Eden already run on Dynamic. Now, the world's top fintech and HR platforms are integrating wallets and payments through Dynamic, tapping into crypto rails. We are at a pivotal moment as we scale from supporting leading crypto apps to becoming the wallet infrastructure of the internet. Why join Dynamic now? Own the next wave of apps and fintechs: Your work will directly impact how the world's biggest fintech players adopt wallets and stablecoin payments. Join at the perfect moment: We're scaling fast, but still early enough that your contributions will define our trajectory. Build the foundation of modern money: Backed by a16z crypto, Founders Fund, and other top investors, we're making money more connected across chains and ecosystems. Our product: Check out a product demo here What we're looking for: As a Web3 Manual QA Engineer at Dynamic, you'll play a key role in ensuring the quality and reliability of our core products across web and mobile platforms. You'll work closely with our Engineering and Product teams to identify and reproduce bugs, validate features, and help maintain a world-class user experience across a wide variety of devices and environments. In this role, you'll also interface directly with customers to understand and triage reported issues, helping to ensure those are accurately documented and prioritized for the engineering team. You'll contribute to our manual QA suite and help continuously improve our QA processes as we scale. You'll be working across Dynamic's diverse and fast-moving customer base, including some of the most exciting projects in Web3. These span DeFi, NFTs, gaming, and blockchain infrastructure. The position requires a sharp eye for detail, excellent communication skills, and a passion for delivering high-quality software in a fast-paced environment. Location: We're remote-first, but ideally you're based in New York, the Bay Area, or Miami. We'd love to have more of the team near our core hubs. You will be a fantastic fit for this role if: As a Web3 Manual QA Engineer at Dynamic, you bring over three years of hands-on experience in manual QA testing, with a strong foundation in testing methodologies and best practices. You've worked extensively on mobile applications across both iOS and Android, ensuring quality across a range of devices and OS versions. You are proficient in writing and executing test cases, logging detailed bug reports, and working closely with developers to drive issues to resolution. Your experience includes using browser developer tools to debug UI and UX problems, as well as interacting with end users to triage issues, update test suites, and create engineering tickets. You are highly detail-oriented, organized, and thrive in fast-paced startup environments. You have excellent written and verbal communication skills and are comfortable owning the QA process from start to finish. Bonus points if you have experience testing Web3 wallets, blockchain/on chain apps, or smart contract interactions, which is highly relevant to our platform. You will: Conduct manual testing of Dynamic's web and mobile applications, ensuring a seamless user experience. Identify, document, and track software defects using issue-tracking tools such as Jira and Linear. Collaborate closely with engineers and product managers to refine product quality and user experience. Develop and execute test cases based on product requirements and user scenarios. Validate new features and bug fixes before release, ensuring product stability. Provide detailed feedback on usability, functionality, and performance issues. Assist in improving testing processes and documentation. #J-18808-Ljbffr