Software test engineer jobs in Alameda, CA - 10,543 jobs

A leading technology company seeks a Manager, Deliverability Strategy to ensure operational excellence and individual contributor development. The role focuses on people leadership, performance management, and effective service delivery. Candidates should have strong email deliverability knowledge, customer service orientation, and proven experience in developing teams. The position offers a competitive salary between $144,000 and $216,000 in the United States, emphasizing a collaborative work environment and employee development. #J-18808-Ljbffr

A leading technology company is looking for a Senior Software Development Engineer in Test in Santa Clara, CA. The candidate will develop test plans, enhance automation features, and work collaboratively in a dynamic environment. Required qualifications include a BS/MS in Engineering and over 5 years of experience in software testing and development. Candidates should possess strong skills in Linux, Python, and C++. The position offers a competitive salary range of $136,000 - $264,500 based on experience, plus equity options. #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

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

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

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 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

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? 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

About the Team The Fleet team builds core components to enable productive research from small to state of the art scale across OpenAI, with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new state-of-the-art capabilities. About the Role As we scale up with more researchers and engineers joining OpenAI, we seek a pragmatic and passionate engineer with a strong focus on the development experience for both engineers and scientists. In this role, you will be responsible for building and maintaining systems that allow our research + engineering organization to iteratively develop, test, and deploy new features reliably, with high velocity, and with a frictionless and fast development cycle. You will help oversee and drive to the vision of how we should build, test and deploy software. You will drive the design of our continuous integration pipelines, testing infrastructure, training and support around our build system. Our current environment relies heavily on Python, Rust, and C++, which you will take ownership of and strive to transform into a state of the art development experience for research. Ultimately, your role will be to provide the necessary tools and metrics to support our fast-paced culture and ensure a stable, scalable platform for growth, while also fostering a seamless and low friction experience for OpenAI's research. This role is based in San Francisco, CA. For a San Francisco role, we use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you Have supported large monorepo development and deployment before Are a proficient Python programmer working in large monorepos Are proficient with Docker and Kubernetes Experienced in CI/CD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

What You'll Do: You will work with UI/UX designers, Product Managers, and customers to explore and brainstorm new Observability product features. You will design new features and drive their requirements and implementation in frontend TypeScript/React.js codebase. You will participate in the design, implementation, maintenance, and evolution of web applications, web services, and APIs. You will help improve engineering quality and operation excellence for the whole frontend systems. Minimum Qualifications Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or relevant degree program (e.g., Associate's, Apprenticeship, Boot Camp, or Certification in a specialized program + 1 year of relevant experience, High School Diploma + 2 years of relevant experience) or Bachelor's + 0 years of relevant experience. Preferred Qualifications Proficiency in JavaScript/TypeScript for frontend development and familiarity in at least one backend language (Python, C++, or Java). Knowledge of UI frameworks (React, Angular, Vue) for full-stack pathways Experience with API development (REST, GraphQL, or gRPC) Understanding of data structures, object-oriented programming, and SQL/NoSQL databases Familiarity with cloud platforms (AWS, Azure, GCP, or Cisco Cloud) Prior experience in building web applications. Passionate about building elegant and powerful user interfaces to solve customer problems. Experience participating in technical designs for frontend systems. The ability to adapt quickly and can solve problems through uncertainty. Strong communication skills, both verbal and written. Ability to work with engineers and non-engineers of various skill levels. Knowledge of web standards and modern browsers, responsive design, and of the full web technology stack. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $123,600.00 - $200,100.00 Non-Metro New York state & Washington state: $109,900.00 - $181,600.00 For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an affirmatively action and equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A civic tech organization in San Francisco is seeking a Founding Software Engineer to develop core technology for civic leaders. The position emphasizes building impactful software quickly, collaborating with elected officials, and shaping the tech team's direction. The ideal candidate is mission-driven, full-stack capable, and has over 5 years of engineering experience. This hybrid role offers a competitive salary and the chance to influence a national movement. #J-18808-Ljbffr

A leading project management tool provider is seeking a Software Engineer to build AI Teammates that enhance productivity and collaboration. Based in San Francisco, you'll work on agent workflows and evaluate AI systems, partnering closely with PM, Design, and Research. The ideal candidate has strong software engineering skills and a passion for AI, with a competitive salary between $171,000-$258,000. #J-18808-Ljbffr

Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs) and embed AI at the core of their operations, empowering technicians to work faster, smarter, and more strategically. Our augmented AI platform enables MSPs to scale like technology companies while delivering faster resolutions, better uptime, and more proactive, personalized support for their customers. In under a year, we've raised over $70M from General Catalyst, acquired market-leading MSPs like RFA, and deployed agents seeing real-world impact to productivity. Our team bring together AI product expertise from Scale AI, Google, MIT, and Stanford with private equity experience from H.I.G. Capital and seasoned MSP executives who have led some of the industry's top providers. Joining Titan means helping to redefine how work is done in IT Services and building a $100B company. About The Role: As a Software Engineer at Titan, you'll play a pivotal role in shaping the future of AI-powered IT service delivery. You'll work across the stack to build intuitive, high-impact products that blend human expertise with autonomous AI agents, transforming how managed service providers (MSPs) operate. This is an opportunity to join an early-stage team, have meaningful product ownership, and help define the engineering culture as we scale. What You Will Do: Design, build, and maintain scalable backend systems that power AI-driven automation. Develop APIs and services that integrate AI models into customer-facing applications. Collaborate with AI and frontend engineers to integrate our AI-powered platform into customer-facing tools. Drive technical decisions around system architecture, scalability, and best practices as we scale. Ship fast and iterate, balancing speed with quality in a fast-paced, startup environment. Who You Are: 4+ years of software engineering experience, with expertise in building and scaling web services. Strong proficiency in Python, Node.js, or Go, with experience in cloud-based architectures (AWS, GCP, or Azure). Familiarity with AI/ML-driven systems or real-time data processing is a plus. User-focused builder - you care deeply about the customer experience and sweat the details. Startup mindset - comfortable with ambiguity, eager to take ownership, and ship quickly. Bonus: Experience integrating LLMs, AI-powered automation, or observability tools is a plus, but not required. #J-18808-Ljbffr

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

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

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

About the Team OpenAI's B2B Applications organization builds and operates the products that bring our cutting-edge research to millions of companies and developers worldwide. We power the OpenAI API and the Enterprise products that empower people around the world to do their jobs better and more efficiently. Our teams span product engineering, backend infrastructure, and safety, working together to ensure that OpenAI's technology is delivered with reliability, security, and a world-class user experience. About the Role We're looking for frontend engineers to craft the user interfaces that make advanced AI accessible and intuitive. You'll partner with design, product, and research teams to build responsive, performant, and secure web applications that bring OpenAI's models, and enterprise-facing products to life. This role is based in San Francisco, CA or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Build and maintain scalable web applications using modern JavaScript/TypeScript, React, and related technologies. Create reusable UI components and front-end infrastructure to accelerate product development. Optimize client performance and ensure accessibility across browsers and devices. Work closely with designers to implement intuitive, user-friendly interfaces. Contribute to end-to-end product planning and decision-making. You might thrive in this role if you 5+ years of professional experience (excluding internships) building production web applications at scale. Are fluent in TypeScript/JavaScript, React, and modern web tooling. Care deeply about design fidelity, performance, and accessibility. Enjoy iterating quickly to deliver polished, user-focused features. Former founder, or early engineer at a startup who has built a product from scratch is a plus. Interest in AI/ML (direct experience not required). Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI global applicant privacy policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr