Engineer jobs in Fairfield, CA - 3,986 jobs

The Bigger Picture At Andromeda Robotics, we're not just imagining the future of human-robot relationships; we're building it. Abi is the first emotionally intelligent humanoid companion robot, designed to bring care, conversation, and joy to the people who need it most. Backed by tier-1 investors and with customers already deploying Abi across aged care and healthcare, we're scaling fast, and we're doing it with an engineering-first culture that's obsessed with pushing the limits of what's possible. This is a rare moment to join: we're post-technical validation, pre-ubiquity, and building out the team that will take Abi from early access to global scale. Our Values Empathy - Kindness and compassion are at the heart of everything we do. Play - Play sharpens focus. It keeps us curious, fast and obsessed with the craft. Never Settle - A relentless ambition, bias toward action, and uncomfortable levels of curiosity. Tenacity - Tenacious under pressure, we assume chaos and stay in motion to adapt and progress. Unity - Different minds. Shared mission. No passengers. The Role We are looking for a creative and driven Simulation and Test Engineer to build Andromeda's testing infrastructure for our conversational AI systems and embodied character behaviours. Your immediate focus will be creating robust test systems for Abi's voice-to-voice chatbot, social awareness perception, and gesture motor control. As this infrastructure matures, you'll extend it into simulation environments for generating synthetic training data for character animation and gesture models. The Team You'll work at the intersection of our character software, robotics, perception, conversational AI, controls, and audio engineering teams. We bring deep expertise from autonomous vehicles and robotics, including simulation backgrounds. You'll collaborate with product owners and technical specialists to define requirements, integrate systems, and ensure quality across our AI/ML stack. Phase 1: Build The Test Foundation Define and stand up synthetic test environments for our AI/ML conversational stack Conversational AI testing: voice-to-voice chat quality, response appropriateness, tool calling accuracy Memory system testing: context retention, recall accuracy, conversation coherence Audio modelling and testing: multi-speaker scenarios, room acoustics, voice activity detection Perception system testing: social awareness (face detection, gaze tracking, person tracking) Gesture appropriateness testing: Working with our Controls/ML team, create test infrastructure to validate that Abi's body gestures CI/CD and automated regression testing for all AI/ML subsystems Custodian of quality metrics: if they don't exist, work with stakeholders to elicit use cases, derive requirements, and establish measurable quality metrics Requirements formalisation: you're skilled at gathering, documenting, and tracing requirements back to test cases Phase 2: Scale To ML Training Infrastructure Our approach to gesture generation requires high-fidelity synthetic interaction data at scale. You'll investigate and build the infrastructure to generate this data, working closely with our character software team to define requirements and validate approaches. Extend test environments into training data generation pipelines Investigate and stand up simulation tools (e.g. Unity, Unreal Engine, Isaac Sim) to support our machine learning pipeline with synthetic data and validation infrastructure Build infrastructure for fine-tuning character animation models on simulated multi-actor scenarios Enable ML-generated gesture development to augment hand-crafted animation workflows Create virtual environments with diverse social interaction scenarios for training and evaluation Success In This Role Looks Like Months 1-3, stabilise our conversational system with automated regression tests and measurable quality benchmarks. By month 6, deliver an integrated simulation environment enabling rapid testing and iteration across our AI/ML stack. You'll design tests that push our systems beyond their limits and find what's brittle. Through trade studies and make-vs-buy decisions, you'll establish the infrastructure, set up automatic regression tests, and trace test cases back to high-level requirements. You'll be the final guardian, verifying that our AI and machine learning systems work as intended before integration with Abi's physical platform. Your work will directly impact the speed and quality of our development, ensuring that every software build is robust, reliable, and safe. Key Responsibilities Architect and Build: Design, develop, and maintain scalable test infrastructure for conversational AI, perception, and gesture control systems Own Testing Pipeline: Develop a robust CI/CD pipeline for automated regression testing, enabling rapid iteration and guaranteeing quality before deployment Develop Test Scenarios: Create diverse audio environments, multi-actor social scenarios, and edge cases to rigorously test Abi's conversational and social capabilities Model with Fidelity: Implement accurate models of Abi's hardware stack (cameras, microphone array, upper body motion) as needed for test and simulation scenarios Enable Future ML Training: Design test infrastructure with an eye towards evolution into a simulation platform for generating synthetic data for character animation and gesture models Integrate and Collaborate: Work closely with the robotics, AI, and software teams to seamlessly integrate their stacks into the test infrastructure and define testing requirements Analyse and Improve: Develop metrics, tools, and dashboards to analyse test data, identify bugs, track performance, and provide actionable feedback to the engineering teams Ideally You Have Bachelor or Masters in Computer Science, Robotics, Engineering, or a related field 5+ years of professional experience testing complex AI/ML systems (conversational AI, perception systems, or embodied AI) Strong programming proficiency in Python (essential); C++ experience valuable Hands‑on experience with LLM testing, voice AI systems, or chatbot evaluation frameworks Understanding of audio processing, speech recognition, and/or computer vision fundamentals Experience with testing frameworks and CI/CD tools (pytest, Jenkins, GitHub Actions, etc.) Familiarity with ML evaluation metrics and experimental design A proactive, first‑principles thinker who is excited by the prospect of owning a critical system at an early‑stage startup Bonus Points Experience with simulation platforms (e.g. Unity, Unreal Engine, NVIDIA Isaac Sim, Gazebo) and physics engines Experience with character animation systems, motion capture data, or gesture generation Knowledge of reinforcement learning, imitation learning, or synthetic data generation for training ML models Experience with 3D modelling tools and game engine content creation Understanding of ROS2 for robotics integration Knowledge of sensor modelling techniques for cameras and audio Experience building and managing large‑scale, cloud‑based simulation infrastructure PhD in a relevant field The expected base salary range for this role, when performed in our San Francisco office, is $150,000 - $250,000 USD, depending on skills and experience. The salary for this position may vary depending on factors such as job‑related knowledge, skills, and experience. The total compensation package may also include additional benefits or components based on the specific role. Details will be provided if an employment offer is made. If you're excited about this role but don't meet every requirement, that's okay-we encourage you to apply. At Andromeda Robotics, we celebrate diversity and are committed to creating an inclusive environment for all employees. Let's build the future together. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please note: At this time, we are generally not offering visa sponsorship for this role. #J-18808-Ljbffr

Meet the Team You will provide guidance and assist Security Sellers and Account teams within the territory in a pre‑sales technical role, showcasing Cisco security product solutions, setting up demonstrations, explaining features and benefits to customers, and designing and configuring products to address specific customer security needs. You will form relationships with our customer's key decision-makers, positioning Cisco security solutions aligned accurately to their requirements. You will be a part of an outstanding technical pre‑sales team in our Global Security Sales Organization (GSSO), responsible for driving the success of Cisco's Security Portfolio and focusing on protecting Customer Application Environments no matter where they live (on‑prem / any cloud). Our mission is simple: democratize security by making it easy and effective for everyone. We're transforming security from the ground up by solving the world's most pressing geopolitical challenge - safe, secure information access. We engineer our business to enable our customers to easily address their ever‑evolving security challenges. We believe that impactful work is rewarding work and that our team is at its best when everyone feels empowered to bring their whole self to work. We learn together by hiring for cultural contribution, not cultural fit, and recognize that diversity in background and thought are essential to building high‑impact teams. We invest in growth and learning opportunities and encourage our people to never stop learning. We foster collaboration and believe in being recognized (and rewarded!) for hard work. We champion a healthy work‑life balance. We're kinder than necessary. Together we build for the future by designing simple solutions for complex problems. And that's why we're the most loved and trusted name in security. Your Impact As an advisor to the customer, you'll be working with technology experts to craft architectures and configure products to meet customer‑specific needs, are prepared to lead all technical aspects of pre‑sales activities, and position security solutions effectively against competing offerings. You are an aggressive starter, self‑starter with the ability to build executive relationships, develop and execute sales strategies and tactics that improve Cisco's opportunity with a customer environment, position and promote the partner and customer value proposition for Cisco security architecture, articulate Cisco's product and business strategies, and create the demand that makes deals happen! You will: Serve as the subject matter expert in Cisco security solutions Provide guidance and assist account teams within the territory in building solutions to address specific customer security needs Understand business requirements for a customer base and be able to translate them into technical requirements Understand and articulate Cisco's architecture and services within security technologies Create, present, and document technical solutions Perform in-depth and high‑level technical presentations for customers partners and prospects Drive identified major account opportunities (i.e. technical consulting, upper‑level management presentations, and Cisco technology solutions) while allowing local account teams to maintain long‑term ownership Who You Are You are passionate about the customer experience and excited about new technology. You are a true teammate and love to learn. Being a self‑starter, our SEs act as an industry domain authority, and strive to help Cisco make customers for life. Minimum Qualifications Minimum of 4 years of pre‑sales tech experience. Hands on experience with one or more of these Cisco Security Products (or their competitive equivalent): ******************************************************************** Preferred Qualifications History of successful quota achievement. Ability to demo / POV any of these Cisco Security products (the more the better): ******************************************************************** Knowledge of public clouds AWS, Azure, GCP, and OCI. Experience with incident response a plus Experience with administering security for a company (e.g. purchased and deployed Cisco security products as a customer) is a plus. Solid presentation and interpersonal skills. Experience with whiteboard discussions that transform customer requirements into security solutions Highly motivated self‑starter who does not need day‑to‑day management Experience with APIs and scripting languages is a nice to have but not required. 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: The starting salary range posted for this position is $200,000.00 to $252,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. 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: $200,000.00 - $289,800.00 Non‑Metro New York state & Washington state: $192,000.00 - $278,200.00 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 Affirmative 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

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

A leading educational technology company in San Francisco is seeking a Senior or Staff Machine Learning Engineer to design and implement large-scale recommendation systems. Ideal candidates will have over 10 years of experience with personalization and ranking systems. This onsite position requires strong skills in Python and PyTorch and a commitment to responsible machine learning practices. Competitive compensation includes salaries from $209,920 to $285,000 plus stock options. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

An AI-native engineering firm in San Francisco seeks a talented mechanical engineer to lead the design and commissioning of mechanical systems across various industrial applications. The role involves using innovative AI-powered engineering tools and working closely with cross-functional teams to create efficient solutions. Ideal candidates will have foundational knowledge in mechanical engineering, hands-on experience with fluid systems or HVAC, and excellent collaboration skills. This is an opportunity to be part of an engineering-led team driving impactful projects. #J-18808-Ljbffr

Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, vitrification and rewarming hardware. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As an integration engineer at Until, you'll be working across teams to deliver next-gen perfusion, cooling, and rewarming systems. Successfully owning the deployment of these systems will require you to autonomously work across hardware/software stacks and work closely with scientists across the company. About You 3+ years of relevant engineering experience Mechanical design and fabrication experience (rapid prototyping, 3D printing, etc) Experience designing electrical circuits from protoboard to PCB Experience with object oriented programming in C++/python Experience writing control software Track record of exceptional engineering Desire to join a small, fast paced team on an excellent adventure Preferred Qualifications Experience with fluidic circuits (heat exchange, perfusion, etc.) Experience working in a research biology context $120,000 - $190,000 a year While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate. #J-18808-Ljbffr

The Role: Are you a creative and technical problem-solver with a passion for 3D graphics? Join our team of talented engineers and artists to build high-fidelity simulations that will be instrumental in developing safe and reliable self-driving cars. This role offers the rare opportunity to bridge the gap between artistic vision and engineering rigor. You'll work on complex, large-scale virtual environments, addressing critical fidelity and performance challenges that directly impact the safety and reliability of autonomous vehicles. Collaborate within a highly interdisciplinary team of world-class Artists, Engineers, and Research Scientists to redefine the boundaries of simulation technology, and create innovative tools, pipelines, and workflows for artists. What you'll do: 3D Asset Pipeline Development: Lead the development of a cutting-edge asset generation pipeline for our new real-time, GPU-based ray tracing engine, defining the foundational standards and conventions that will drive future advancements in photorealistic simulation. Content Authoring Tools: Integrate external Digital Content Creation tools such as Maya and Unreal Editor with our simulation and rendering stack. Build workflows to author assets for our USD based renderer. Rendering Optimization: Architect and implement advanced content authoring strategies to significantly reduce cloud compute costs, leveraging state-of-the-art techniques in geometry, material, shader, and texture optimization to achieve optimal performance. Performance Monitoring: Develop systems to validate and monitor asset fidelity and performance, actively analyzing realism perceived by computer vision models. Scripting and Automation: Develop tools and scripting APIs to automate the creation and management of assets. Tool Development: Assist artists and engineers via tool development, concept testing of new ideas, and building rapid prototypes. Collaboration: Work closely with engineers, designers, and researchers to understand testing requirements and translate them into effective simulation environments. Work hand in hand with Cruise Machine Learning Engineers to develop simulations that best test and train our ML Models. Quality Assurance: Provide front-line production support across multiple disciplines, troubleshoot assets and scenarios, and help artists with problem-solving. Triage and redirect problems to appropriate engineering teams. Your Skills and Abilities: 5+ years experience as a technical artist (or equivalent capacity) in visual effects, animation, simulators, 3D games, or other high-performance systems. Bachelor's degree or higher in Computer Science, specifically with a concentration or focus in Computer Graphics Proven experience creating Python scripts to streamline content creation Experience with C++ for performance critical engineering and software application development Strong 3D content pipeline knowledge with a deep understanding of modeling, texturing, animation, and lighting. Proficient with profiling tools to diagnose performance issues and identify how to optimize scenes. In-depth knowledge of real-time rendering including physically-based rendering (PBR) pipelines, shader authoring in MDL (or similar shader language) or shader graphs as well as shader performance profiling and optimization. What Will Give You A Competitive Edge: Demonstrated experience in generating high-quality synthetic data for machine learning model training and validation, with an understanding of its critical role in autonomous system development NVidia Optix, MDL, and USD experience is highly desirable Film or VFX Studio tools or Pipeline Engineer experience. Unreal Engine 4 experience with blueprints and material editor Maya experience A portfolio or reel, including a detailed breakdown of your work in each section. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington. The salary range for this role is ($160,200 and $246,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more. #J-18808-Ljbffr

Binti builds software for state and county government agencies, focusing on reinventing social services. We started in child welfare, with the mission of helping every child have a safe, loving, and stable family. To date, we've helped approve more than 100,000 families to foster or adopt, and we support over 46% of the nation's child welfare system. We have expanded our product offerings in child welfare, moving more to the root of the problem, helping families stay together and avoid separation, and are now expanding horizontally across other areas in social services. Binti is a for-profit, mission-driven software company based in San Francisco, CA. Investors include Founders Fund, First Round Capital, Kapor Capital, and others. We're a team of ~90 people and growing quickly. We care about creating a workplace where everyone feels welcome and can bring their full self to work. We have a huge, ambitious vision to rewire government to be more effective in expanding opportunities for people around the world, and we are looking for mission-driven, high-empathy, high-performance, and low-ego team members to join us on our exciting journey towards that vision. OVERVIEW OF ROLE We're seeking technically sharp, customer-focused engineers who are eager to collaborate closely with our partners to design and deliver integrations that maximize the full value of the Binti platform. As an Integrations Software Engineer and part of the Integrations Engineering team, you'll take ownership of high-impact, externally-facing technical projects - from discovery and architecture sessions to launch. Strong candidates combine deep engineering experience with excellent communication skills, a service-oriented mindset, and the ability to thrive in dynamic and ambiguous environments. LOCATION Binti is headquartered in San Francisco, California, and this role would be expected to be in-person (in-person office days are Mondays and Thursdays across the company). Much of our team is local to the San Francisco Bay Area and works in a hybrid setup - spending some days in the office and others working remotely. A part of this position involves supporting our customers on their integration journey, and therefore, this job includes occasional travel to customer locations (approximately once a month). Opportunities to go on-site with our customers will include design and discovery sessions, co-development work, and technical onboarding. WHAT YOU WILL DO Lead architecture discussions during integration development to ensure that they are built in a sound, reliable, and performant way Optimize and improve the tools that our Binti's internal delivery teams and our customers use to do their day-to-day work Full Stack coding, 80% back end and 20% front end Mentor other engineers on best practices for software engineering Optimize the performance of integration pipelines, APIs, and components for both latency and throughput Participate in discovery and architecture sessions with customers to ensure that integrations are designed to support our customers needs, best leverage the Binti platform, and be performant, secure, and scalable. Build integration pipelines and APIs that are stable, performant, and scalable, and monitor them to ensure that they are operating properly Work directly with our customers' development teams, in person or virtually, to provide them live support and consulting as they integrate with the Binti platform and APIs. Provide integration support to our customers, answering questions, offering consultative advice, and assisting them in debugging their integrations. Synthesize and deliver product feedback to enable us to use it to improve Binti's modules and integration capabilities. Collaborate with Product Management to scope and execute product features while maintaining Binti's values. Focus on the longevity of the codebase - notice and advocate for patterns that allow code to be flexible, scalable, and approachable to other engineers Help our team move quickly and learn while maintaining a welcoming and supportive culture Push our product so it continues to be a beautiful, yet intuitive and accessible interface for users from all walks of life Champion security and privacy, including looking for ways to make it easier to safeguard HIPAA compliance for sensitive data and incorporate security best practices. SAMPLE PROJECTS Join other members of the Binti team in meetings with a new customer to understand how Binti will fit into their workflow and information architecture, and then use that knowledge to design an integration using Binti's APIs or connectors that meets their needs. Collaborate side-by-side, virtually or in-person, with a customer who is integrating with Binti, providing them live support during co-development. Develop new API endpoints, connectors, or other integration tools to improve and extend our integration capabilities Respond to questions and support requests from customers with existing integrations to debug, triage, and fix issues that are discovered post-launch. WHO YOU ARE You have at least 3 years of professional software engineering experience, preferably in a customer-facing role such as an integrations engineer, consultant, or similar. You possess a strong startup mindset, being comfortable with ambiguity, balancing risks, and building MVPs that are iterated upon. You're familiar with legacy systems (even better in the government context) and the difficulties and tradeoffs that come with working with them. You have the ability to architect, build, and maintain distributed integrated systems. You're comfortable with APIs, data pipelines (ETL), enterprise data warehouses (EDW), and all their friends. You possess the experience and ability to effectively manage your own work and time. You excel at collaborating with cross-functional partners in product, program management, sales, and other areas. WHAT WE LOVE ABOUT YOU You're energized by working with customers to solve real-world problems, not just closing out engineering tickets. You have the ability to visualize how a big software system like ours works, but also think about how it interacts at the edges with our customers' software systems You have a history of not only shipping code and products, but also making customers happy You have excellent verbal, written, and interpersonal communication skills You're experienced and confident with Ruby/Ruby on Rails, but also comfortable in other programming languages like Python, C#, Java, etc. You're a quick learner who is motivated by up-leveling your skills and taking on new challenges You're interested in the boundless possibilities of Gen AI, with experience and judgment in that area being a significant advantage. BENEFITS & PERKS An above-market compensation package (salary + equity) Excellent medical, dental, vision, and life insurance - 99% of insurance premiums covered for you + your dependents Flexible vacation time to promote a healthy work-life blend 13 paid holidays; 11 federally observed holidays (including Juneteenth), plus Election Day and the day after Thanksgiving 16 weeks of paid parental bonding leave for the arrival of a newborn or newly placed infant Sick/mental health time separate from vacation days (accrue up to a cap of 160 hours) 4 weeks of sabbatical after 4 years of service at the company 401k, Commuter benefits, FSA, and DCSA with administration paid for $5,000 annual bonus for employees who volunteer as a CASA (court-appointed special advocates) $2,500 annual reimbursement for ongoing learning and development, with opportunities to attend trainings/conferences, on-site speaker series, and lunch and learns $300 reimbursement for initial office setup $50 a month effective work reimbursement to cover internet, electricity, office setup costs, or lunch/snacks with coworkers Paid jury duty At Binti, we celebrate having a diverse team and believe our differences make us stronger. Binti is proud to be an equal-opportunity workplace and is an equal-opportunity employer. We welcome all qualified applicants to apply without regard to race, color, religion, gender, sexual orientation, age, national origin, disability, or protected Veteran status. #J-18808-Ljbffr

A tech company in San Francisco is seeking an experienced API Integration Engineer to build and maintain integrations with platforms like Zapier and Make. The successful candidate will collaborate with B2B customers and cross-functional teams, bringing strong coding skills in TypeScript and Python, along with a robust understanding of RESTful APIs and OAuth 2.0. This is an opportunity to join a dynamic and imaginative workplace culture focused on creativity and collaboration. #J-18808-Ljbffr

A leading aerospace company seeks an integration-minded engineer for its San Francisco location. You will lead weight and balance tool development, own mass properties tracking, and manage design guidelines. The ideal candidate has 2-7 years of aerospace mechanical engineering experience, a strong understanding of mechanical design, and enjoys collaborative problem-solving. The position offers a comprehensive benefits package, including flexibility in the work environment. #J-18808-Ljbffr

A leading technology company based in San Francisco seeks a Professional Services Engineer to integrate SaaS solutions into customer environments. The role involves collaboration with delivery managers, designing integration components, and writing technical specifications. Candidates should have strong skills in Python for automation and API integration, along with a customer-oriented mindset. Join a diverse team pioneering Spatial Intelligence technology with a solid growth trajectory and innovative projects. #J-18808-Ljbffr

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI's infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting‑edge AI models. Our work spans system software, networking, platform architecture, fleet‑level monitoring, and performance optimization. As part of the Stargate initiative, the Industrial Compute team's mission is to build and operate the foundation that powers our research and products. To deliver on this mission, there is a critical need for advanced lab infrastructure and capabilities to perform rapid prototyping, targeted and end‑to‑end testing, and system qualification across the full software and hardware stack to ensure readiness and stability for fast and smooth deployment of our large‑scale clusters. About the Role We are seeking an experienced engineer to lead advanced R&D, rapid prototyping, and build‑out of in‑house lab infrastructure to support system bring‑up, testing, and qualification for next‑generation systems. In this role, you will: You will work closely with the research, fleet, silicon, hardware health, and external vendors and partners to accelerate system qualification, increase deployment velocity, and improve platform and fleet robustness at scale. You will focus on detailed evaluation and systematic testing of early hardware, including servers, racks, NICs, switches, chips, optics, transceivers, and other lab prototype equipment. Your engineering work will span a broad range of software (systems, firmware, RDMA, collectives, cluster provisioning, orchestration, etc.) and/or hardware solutions (e.g., FPGA development) to manage lab infrastructure, support bring‑up activities and perform extensive characterizations of new hardware through microbenchmarking, fault injection, impairment modelling, localized stress testing, and end‑to‑end evaluations. This role is based in San Francisco, CA or Seattle, WA. 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: Bachelor's Degree in Computer Science or a related field Strong background in system architecture, large‑scale distributed systems and AI/HPC networking expertise (high performance multipath transport protocols, RDMA, RoCE, Infiniband) 5+ years of software development experience in C/C++ and Python Experience developing and running large‑scale distributed AI workloads Hands‑on lab experience with datacenter hardware (racks, servers, switches, NICs, accelerators, etc.) Experience with low‑level software and/or FPGA hardware development (e.g., firmware or RTL) 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

A pioneering technology firm in San Francisco seeks a Staff Machine Learning Engineer to lead the integration of core technology with partner platforms like AWS and Databricks. This role requires over 10 years of experience in industry, focusing on developing and implementing fault-tolerant systems and collaborating closely with partners to drive product impact. Candidates should excel in mentoring, technical roadmaps, and maintaining high engineering standards. #J-18808-Ljbffr

Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life. Team Culture Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success. Role Overview We are seeking an experienced Hardware Test Engineer to verify the Echo hardware system. The candidate will be responsible for testing custom Echo hardware devices and subsystems. The candidate will also drive development and bring-up of custom test systems. Primary Role and Responsibilities Execute in-house design verification tests Execute testing with external test labs Work with engineering team to develop custom tests Collaborate with design engineers to characterize custom hardware Dry-running tests for transfer to vendors Qualifications Bachelor's degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, or related field Minimum 5 years of industry experience in testing electro-mechanical hardware devices Experience with executing verification testing and participating in the test design loop Experience with writing test protocols and documenting results in formal test reports Experience working within a quality system Other Qualifications Master's degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, or a related field Familiarity with medical device compliance and standards Strong collaboration mindset Superior written and verbal communication skills Exceptional organizational skills and attention to detail Occasional travel to vendors ( What We Offer An opportunity to work on exciting, cutting-edge projects to transform patients' lives in a highly collaborative work environment. Competitive compensation, including stock options. Comprehensive benefits package. 401(k) program with matching contributions. Equal Opportunity Employer Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees. Confidentiality All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process. #J-18808-Ljbffr

Handshake is recruiting Nuclear Engineer Professionals to contribute to an hourly, temporary AI research project-but there's no AI experience needed. In this program, you'll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model's understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise. Details The position is remote and asynchronous; work independently from wherever you are. The hours are flexible, with no minimum commitment, but most average 5-20 hrs. The work includes developing prompts for AI models that reflect your field, and then evaluating responses. You'll learn new skills and contribute to how AI is used in your field. Your placement into a project will be dependent on project availability-if you apply now and can't work on this project, more will be available soon. Qualifications You have at least 4 years of professional experience in one or more of the following types of work. Design or develop nuclear equipment, such as reactor cores, radiation shielding, or associated instrumentation or control mechanisms. Monitor nuclear facility operations to identify design, construction, or operation practices that violate safety regulations or could jeopardize safe operations. Initiate corrective actions or order plant shutdowns in emergency situations. Examine accidents to obtain data for designing preventive measures. Direct operating or maintenance activities of nuclear power plants to ensure efficiency and compliance with safety standards. Design or oversee construction or operation of nuclear reactors, power plants, or nuclear fuels reprocessing and reclamation systems. Direct environmental compliance activities associated with nuclear plant operations or maintenance. Write operational instructions for nuclear plant operation or nuclear fuel or waste handling and disposal. Prepare technical reports of findings or recommendations based on synthesized analyses of test results. Prepare environmental impact statements, reports, or presentations for regulatory or other agencies. Develop or contribute to plans for remediating or restoring environments affected by nuclear radiation, such as waste disposal sites. Conduct tests of nuclear fuel behavior and cycles or performance of nuclear machinery and equipment to optimize existing plant performance. Design fuel cycle models or processes to reduce the quantity of radioactive waste generated from nuclear activities. Consult with other scientists to determine parameters of experimentation or suitability of analytical models. Recommend preventive measures in handling nuclear technology based on operations monitoring data or evaluation of test results. Discuss construction project proposals with vendors, contractors, or nuclear facility review boards. Perform experiments to determine acceptable methods of nuclear material usage, nuclear fuel reclamation, or waste disposal. Conduct environmental studies related to nuclear power generation, nuclear waste disposal, or nuclear weapon deployment. Design or direct nuclear research projects to develop, test, modify, or discover new uses for theoretical models. Keep abreast of developments in the nuclear field by reading technical journals or engaging in independent study and research. You're able to participate in asynchronous work in partnership with leading AI labs. Application Process Create a Handshake account Upload your resume and verify your identity Get matched and onboarded into relevant projects Start working and earning Work authorization information F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

A cutting-edge neurotechnology startup is seeking an experienced Hardware Test Engineer to verify hardware systems and test custom devices. The ideal candidate will have at least 5 years of experience in testing electro-mechanical hardware, along with strong collaboration and communication skills. This role offers a unique opportunity to work on transformative projects, competitive compensation, and comprehensive benefits in a highly collaborative environment. #J-18808-Ljbffr

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role We are hiring a Simulation Realism Engineer to drive our effort to make simulation quantitatively real for robotics research and product development. This role owns the strategy, tooling and operational practice that close sim→real gaps across physics, sensors and rendering. You will work cross-functionally with research, software, hardware and ops to discover the highest-impact realism gaps, define measurable realism metrics, and deliver engineering solutions - from tuning engine parameters and asset standards to integrating third-party engines and operating sims at scale. This is a hands‑on engineering role that blends scientific rigor (measurement & validation) with pragmatic systems work (tooling, cloud ops, and CI/HIL pipelines). This role is based in San Francisco, CA. This role will require 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: Define and operationalize realism metrics & protocols. Design experiments and automated tests to find specific areas of non‑realism, quantify gaps, and track regressions over time. Fine‑tune engine parameters (contacts, friction, mass/density, solver settings) and object models so simulated dynamics match measured reality. Evaluate, integrate, and - where necessary - extend 3rd‑party physics, rendering, and sensor simulation engines (e.g., Isaac, PhysX, MuJoCo, video renderers or sensor sim frameworks). Lead vendor POCs and benchmark features to influence roadmaps. Create standards, guidelines, and interactive tools for authoring and validating asset physical/visual properties; implement semi‑ or fully‑automated pipelines to tune and optimize assets for target engines. Solve technical issues for running engines in the cloud (OS, drivers, GPU), parallelize simulations (batching many runs per engine instance), and harden real‑world‑facing pipelines so sims can run reliably at scale. Own validation campaigns (teleop, HIL regression suites, metric computation) and partner with research to close the loop between simulation improvements and downstream model performance. Document and scale best practices. Produce ergonomic templates, docs, and standards so dozens of engineers and researchers can author realistic tasks and assets quickly. You might thrive in this role if you: Have a strong mathematical & physics background - rigid/soft‑body dynamics, contact mechanics, or FEA - and are comfortable reasoning about solvers and numerical stability. Have hands‑on experience with at least one or two production physics engines and sensor/render stacks (MuJoCo, PhysX, Isaac Sim, Newton, GPU renderers, or equivalent), and know how to measure/interpret their failure modes. Enjoy plumbing every layer of the sim stack: CAD/asset import, collision/visual mesh tradeoffs, contact tuning, real‑time loading, and rendering pipelines. Have led projects that bridge sim and robotics, such as teleoperation data collection, hardware‑in‑the‑loop regression tests, or digital twin efforts. Experienced building robust tools and processes - CI for sims, asset validation pipelines, or distributed GPU workloads - and care about documentation and ergonomics that let others be productive. Can collaborate broadly: you want to work directly with researchers to design experiments, with SWE/RE to ship tooling, and with vendors to run benchmarks and influence product roadmaps. 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 Affine 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