Field engineer jobs in Antioch, CA - 1,862 jobs

We prioritize the health and wellbeing of our employees through our comprehensive benefit package, including generous paid time off to rest and recharge, holistic mental health support, and benefits covering employees up to 100%. Growth At CircleCI, employees have ample opportunity to learn new skills, including project-based learning and presentations from our colleagues. Your continued professional development is important to us because it's important to you. Flexibility What does it mean to work at CircleCI? For us, flexibility is key. As aSenior Field Engineer at CircleCI you will be the customer's trusted technical advisor throughout the sales and retention lifecycle. You'll provide hands‑on advice for cloud‑based and single‑tenant deployment and product guidance with CircleCI's largest prospects and customers. You will serve as the technical expert and owner of deal validation strategy, collaborating with account executives and success managers to identify customer business goals, needs, and pains and showing how CircleCI can address them. What You'll Do Lead the technical implementation and day‑to‑day management of CircleCI Demonstrations and proof‑of‑concepts. Demonstrate the technical feasibility, integrated into our customer's technology stack, ensuring early customer success and a long‑term business relationship. Serve as a technical advisor and subject matter expert for customers, offering guidance on product implementation, adoption, and best practices. Conduct in‑depth analysis of customer use cases, identify opportunities for product optimization, and provide feedback to internal teams for improvements. Support strategic planning conversations with customer executives; connecting software delivery challenges with corporate objectives, articulating their full business impact. Lead technical discussions with enterprise clients, addressing complex issues, customizations, and integrations to meet customer‑specific requirements. Develop and deliver technical training sessions, workshops, and documentation to empower customers to maximize the value of CircleCI products. Stay up‑to‑date on industry trends, product updates, and emerging technologies to continuously enhance your technical knowledge and customer support capabilities. What We're Looking For 5‑10 years experience as an engineer in the application development, devops, or CI/CD space. Extensive experience with solutions selling in a technical customer‑facing role, such as Sales Engineer, Solutions Engineer, Customer Success Engineer, or similar position, preferably in a SaaS or software development environment. Strong proficiency in CI/CD concepts, DevOps practices, software configuration, and scripting languages like Python, Shell, etc. Knowledge of Docker or Linux containers in general. Outstanding presentation skills. You feel comfortable leading presentations and demos of our platform to groups, both technical and non‑technical, in‑person and virtually. Proven track record of engaging with enterprise clients, understanding their technical requirements, and delivering solutions that drive customer success. Ability to work collaboratively with cross‑functional teams, Sales, Product, and Engineering, to advocate for customer needs and provide valuable insights for product enhancement. Ideal Candidates might also have: Experience developing mobile applications across iOS and Android devices. Strong ops/infrastructure knowledge, especially networking and security. About CircleCI CircleCI is the world's largest shared continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most‑used DevOps tools-processing more than 1 million builds a day-CircleCI has unique access to data on how engineering teams work, and how their code runs. Companies like Spotify, Coinbase, and BuzzFeed use us to improve engineering team productivity, release better products, and get to market faster. Founded in 2011 and headquartered in downtown San Francisco with a global remote workforce, CircleCI is venture‑backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit and Harrison Metal Capital. United States Base Pay Range $153,000 - $191,000 USD We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. CircleCI is an Equal Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, or status as an individual with a disability. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. #J-18808-Ljbffr

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Base Salary Range$100,000-$300,000 USD #J-18808-Ljbffr

A leading technology company in San Jose is seeking a skilled engineer to develop applications based on generative AI models such as GPT-4. This role involves collaborating with cross-functional teams to optimize performance and ensure reliability, as well as engaging in cutting-edge AI developments. The ideal candidate will have a Bachelor's or Master's degree in a relevant field and deep knowledge of machine learning methodologies. Competitive compensation, benefits, and opportunities for growth will be offered. #J-18808-Ljbffr

A healthcare technology firm is seeking a Forward-Deployed Engineer to join their team in San Francisco. This role focuses on building operational workflows and automated communication agents to improve patient care outcomes. Candidates should possess a Bachelor's degree in a relevant field and experience with AI technologies. Strong skills in SQL, Python, and Elasticsearch are required. The position offers a salary between $90,000 and $120,000 depending on experience, with a hybrid work schedule, requiring office presence three times a week. #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

A tech company specializing in AI is seeking a Machine Learning Engineer to enhance its platform by developing and deploying generative AI models. You will collaborate with cross-functional teams to integrate technologies, manage AI models focusing on natural language processing, and work in a fast-paced environment. A Bachelor's degree in Computer Science and expertise in Python and machine learning techniques is required. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary As an engineer focusing on cellular and wireless integration for the Connected Systems Integration Team at R|V Tech, you will work alongside software developers, systems integrators, and system engineers to support features such as cellular, WiFi, Ethernet and GPS domains along with telematics, mobile app integration, and other Internet-dependent vehicle features, with a primary focus on cellular systems integration and bring-up. The cellular and wireless integration engineer will execute tests and integration of connectivity features and will also contribute to automation of these tests (in Python). The cellular and wireless integration engineer may also support other vehicle development activities which require connectivity support. These development activities may include drives in pre-production vehicles and will provide exposure to vehicle networks, cloud connectivity, and fleet management. The connectivity integration engineer may support time-critical test events and may be asked to support special investigations and projects. Responsibilities Your typical day looks like this: Attend meetings with development teams to understand new system designs and to align on test plans and expectations. Create design documentation and test plans for a new cellular feature implementation. Perform cellular testing using a specialized test chamber and test equipment; work with test equipment vendors to ensure compatibility and system integrity for automation. Perform complementary cellular testing on-vehicle using a prototype or fleet vehicle. Analyze logs from internal and external bugs to assess root cause of failure and create new work scope for dev teams. Core capabilities and behaviors should include: Strong fundamentals for test execution and documentation. The ability to correlate meaningful feedback from disparate data sets. Keen observation skills of wireless (WiFi, 5G, LTE, GPS, Bluetooth) behavior and performance. Deep understanding of telematics, end-to-end data routing and validation of data fidelity and frequency over different data links. Understanding of middleware and layered/encapsulated network schemes. Native Linux proficiency (command-line, tools, bring-up); embedded Linux a plus. Ability to identify and distinguish issues in hardware and/or software. Engage in discussions to test, bug fix, and optimize feature development based on data. Qualifications Bachelor's degree in either Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or Information Systems. Good understanding of 5GNR and LTE protocol stack. A working understanding of the OSI model and network protocols. Basic proficiency with scripting languages including Python and/or Shell. Basic proficiency with database manipulation and data presentation. Triage and diagnosis of complex connectivity issues to include root cause analysis, stability, and interoperability problems. A mindset geared towards collaboration and forward progress. Ability to thrive under pressure and time constraints. Availability to travel and/or support activities during off-peak hours as-needed. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $117,000 - $149,000 USD (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and VW Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

A dynamic technology firm based in California is seeking a Data Integration Engineer to develop and maintain scalable data pipelines. The role involves working with tools such as Fivetran and DBT, focusing on integrating systems for data-driven decision-making. The ideal candidate will have over 5 years of relevant experience, particularly in construction-related datasets. The position offers competitive compensation, including bonuses and stock options. #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

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 an ML Engineer, Analysis and Simulation to build the core analytical and reasoning layer behind the Mithrl AI Co‑Scientist. Your work will define how the AI interprets biological datasets, generates scientific conclusions, and orchestrates downstream simulation tools for drug discovery. You will develop the reusable analysis modules that Mithrl runs for every dataset, and you will design multi step agentic workflows that combine statistical analysis, biological reasoning, and computational modeling. You will also integrate and experiment with simulation tools for small molecule discovery, such as ADMET prediction, docking scoring, Boltzmann generators and related computational chemistry engines. This is the role that makes the AI Co‑Scientist smart. If you have a strong background in ML, computational biology, and scientific analysis workflows, and you want to shape how AI reasons about biological systems, this is an exceptional opportunity. WHAT YOU WILL DO Build AI driven analysis agents that perform biological reasoning across a wide range of datasets Develop the standard analysis suite for each dataset, including modules for differential expression, pathway analysis, feature importance, clustering, scoring, enrichment, and mechanism‑of‑action interpretation Build multi step workflows that combine ML models, statistical logic, and biological knowledge to produce high confidence insights Design and implement agentic reasoning strategies that allow Mithrl to run dozens analyses per dataset and synthesize the outputs into a coherent scientific narrative Integrate simulation and modeling tools for small molecule drug discovery, including ADMET prediction, docking scoring, generative chemistry tools, structure based modeling, and related computational frameworks Collaborate with the data engineering, bioinformatics, and curation teams to ensure analysis modules operate on clean and consistent data Validate results, benchmark pipelines, and ensure scientific accuracy and reproducibility of all analyses Contribute to the long term architecture for how the AI Co‑Scientist performs reasoning, hypothesis testing, and simulation WHAT YOU BRING Required Qualifications Strong experience in machine learning, computational biology, or a related scientific ML field Experience developing analysis modules for biological or scientific datasets Familiarity with common techniques in target discovery, gene expression analysis, pathway inference, clustering, or statistical modeling Hands‑on experience with computational chemistry or simulation tools, such as ADMET models, docking, binding prediction, or molecular generative models Proficiency in Python and scientific computing libraries Experience designing multi step reasoning or workflow based ML pipelines Ability to translate messy scientific questions into structured ML or analytical workflows Strong communication skills and comfort collaborating with cross‑functional scientific and engineering teams Nice to Have Experience with LLM powered scientific agents or multi agent architectures Familiarity with phenotype based discovery, multi modal integration, or systems biology Background in computational chemistry or structure based drug discovery Experience with biological ontologies, curated knowledge graphs, or pathway databases Prior experience in a tech bio company, biotech R&D group, or scientific platform team WHAT YOU WILL LOVE AT MITHRL High ownership: You will define how the AI Co‑Scientist thinks and reasons about biology Impact: You will work at the intersection of ML, biology, and simulation, with direct impact on real discovery programs 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 cybersecurity firm in San Francisco is seeking an experienced full-stack engineer to develop a new simulation product focused on AI-driven phishing and deepfake simulations. The ideal candidate will have a strong background in full-stack development and be excited to build scalable systems in a fast-paced and mission-driven environment. With competitive perks like flexible PTO and team offsites, this company is redefining digital security and is eager to meet driven individuals who want to tackle real-world challenges. #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

About Stand: Stand is an insurance startup revolutionizing how society assesses, mitigates, and adapts to climate risks. Our leadership team has extensive experience in insurance and climate science: building billions in market value at prior ventures in insurtech, wildfire, and real estate. We're expanding our technical team to develop groundbreaking technologies for quantifying climate risks at the property and community levels, and we're hiring an exceptional Physics simulation Engineer to be a key part of this effort. How to apply: Interested applicants can email Matt (*****************) sharing their resume and a short blurb about their interest in the position. Background: Homes respond differently to climate catastrophes like wildfire - but until now, we've lacked the tools to measure that risk at the individual level. At Stand, we combine deterministic physics models with cutting-edge AI to deeply understand a home's unique risk environment. This enables broader insurance access, incentivizes proactive mitigation, and helps communities become more resilient. The Role: As a Physics Simulation Engineer on the Applied Science team, you'll play a key role in developing and deploying advanced computational physics models, collaborating closely with engineers, technologists, and leadership in a highly interdisciplinary environment. We're investing in physics-based simulation as a core capability to model and mitigate risk. This includes adapting traditionally high-cost engineering methods (e.g., CFD, FEA) into scalable, automated tools that operate orders of magnitude faster. You'll also help us train machine learning models to understand the underlying laws of deterministic physics-transforming legacy workflows into modern, accessible systems. This role offers a front-row seat to shaping how high-fidelity simulation and AI intersect to characterize the physical world. Your responsibilities will include: Owning our core CFD/thermofluid solvers and their supporting scripts and infrastructure Translating real-world physics into simulation code (e.g., combustion, wind dynamics) Tuning and validating models and methods against empirical data and experiments Running simulations and communicating results to cross-functional teams Accelerating traditional numerical solvers and simulation runtimes Supporting the development of AI-driven physics models alongside researchers and engineers What we are looking for: 5+ years of experience with CFD including simulation design, execution, and validation Proficiency with Fortran-based solvers, and scripting in C++, Python, or similar Strong intuition in thermofluids and heat transfer, including combustion modeling and radiation Proven ability to communicate and integrate technical knowledge across teams Experience calibrating and validating simulations against physical test results Experience with parallel programming (OpenMP, MPI), HPC workflows, and GPU acceleration Expertise in meshing, discretization, and pre-processing to align resolution with task complexity Cross-functionality: self-directed, adaptable, and comfortable in fast-paced, ambiguous environments #J-18808-Ljbffr

A leading technology firm in Santa Clara is seeking an Applied SciML Engineer with expertise in scientific machine learning and computational geometry. The ideal candidate will have a minimum of 3 years of deep learning experience and proficiency in PyTorch. This role focuses on building production ML systems for physical simulation data. Candidates should have a strong background in model development, optimization, and application to scientific datasets. #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. Position Overview As the Lead Electrical Test Engineer, you will be responsible for planning, coordinating, and executing system‑level electronics testing that demonstrates Echo's BCI devices are safe, effective, and compliant with FDA and international standards. You will lead electrical testing across Pre‑V&V, V&V, and production, ensuring requirements are testable, designing rigorous test protocols, and delivering FDA‑ready evidence for design controls. In addition to verification and validation, you will establish and maintain production test strategies to ensure reliable device manufacturing. With your expertise in electronic systems and test engineering, you will bridge development and operations to ensure Echo's implantable and wearable systems meet the highest safety, quality, and manufacturability standards. Key Responsibilities Define and lead system‑level test strategies across electrical subsystems, integrated device, and system validation. Translate system and design requirements into test protocols with clear, measurable acceptance criteria. Lead Pre‑V&V electronics efforts: bench bring‑up, early feasibility testing, and design‑for‑testability. Direct system‑level verification and validation testing (bench, hardware‑in‑loop, simulated clinical use, IEC 60601 electrical safety). Develop and maintain production test systems: design test fixtures, sockets, automation scripts, and scalable processes for manufacturing. Collaborate with Electrical, Firmware, Systems, QA, and Regulatory teams to ensure compliance with FDA 21 CFR Part 820, ISO 14971 (risk management), and related standards. Liase with System DVT lead, internal teams, and consultants. Generate Verification and Validation Reports, production test documentation, and FDA submission‑ready documentation. Lead failure investigations at system and production level, ensuring root cause analysis and corrective actions are documented and retested. Provide test engineering leadership in support of design transfer to manufacturing and ongoing production quality. Qualifications Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Biomedical Engineering, or related field. 7+ years of experience in electronics/system testing, verification, and validation for medical devices. Proven experience leading component‑level, subsystem, and system‑level test campaigns for Class II or III medical devices (implantable preferred). Experience in designing and scaling production test systems for medical electronics. Strong knowledge of standards and regulations: 21 CFR Part 820 (Design Controls) IEC 60601 (Electrical Safety & EMC) ISO 14971 (Risk Management) IEC 62366 (Usability Engineering) Familiarity with hardware‑in‑loop and system integration test methods. Experience collaborating across disciplines (EE, FW, ME, QA, RA, Manufacturing, external labs). Skills and Abilities Expertise in electronic system test methods: signal integrity, power analysis, EMI/EMC, environmental stress, and safety compliance. Ability to design, implement, and oversee system‑level verification and validation test plans. Proven experience developing and maintaining production test setups, fixtures, and automation for medical device manufacturing. Proficiency with lab equipment: oscilloscopes, spectrum analyzers, DMMs, logic analyzers, power analyzers. Skilled in writing clear, defensible test protocols and reports for regulatory and manufacturing use. Strong organizational discipline in traceability, version control, and change management. Ability to lead cross‑functional test campaigns and manage external test labs/CROs. Excellent communication skills, able to translate test results for engineers, QA/RA, and regulatory reviewers. 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

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to applyp> You will: Implement end-to-end data integrations, syncing customer's data to Scale's platform and back Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer Be accountable for the customer's technical experience throughout their time with Scale Work with AEs and PMs to identify customer-specific feature requests Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations Evangelize Scale and interact with customers at major events Have an active TS/SCI clearance Ideally you'd have: Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way Prior technical hands‑on experience working with clients in a pre or post‑sales capacity to realize business goals Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields Strong project management and interpersonal skills Presentation skills with a high degree of technical credibility when speaking with executives and front‑line engineers High level of comfort communicating effectively across internal and external organizations Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: Experience in AI Experience working in classified environments Previous experience as a technical go‑to‑market resource Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment Hands‑on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is: $190,000 - $290,000 USD The base salary range for this full‑time position in the locations of Washington DC, Texas, Colorado is: $170,000 - $260,000 USD The base salary range for this full‑time position in the location of Hawaii/St. Louis is: $140,000 - $220,000 USD PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services,. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr

A leading technology firm in San Francisco is looking for an innovative engineer to develop generative AI applications. This role requires a PhD in a relevant field and backend development experience, preferably in Go or Python. You will work with cutting-edge technologies and collaborate with world-class teams to create and implement AI solutions. Cisco offers a competitive salary and a collaborative work environment that fosters growth and innovation. #J-18808-Ljbffr

A biotechnology firm in San Francisco is seeking an ML Engineer to build the core analytical layer for its AI Co‑Scientist. The role involves developing AI-driven agents for biological reasoning, standard analysis suites, and integrating simulation tools for drug discovery. Candidates should have strong experience in machine learning, computational biology, and the ability to translate complex scientific questions into structured workflows. This position offers comprehensive benefits and a high-ownership culture. #J-18808-Ljbffr

A leading AI research company in San Francisco seeks a Simulation Realism Engineer. In this hands-on role, you will define and operationalize realism metrics for robotics simulation. You will fine-tune engine parameters and evaluate third-party physics engines to align simulations with real-world dynamics. Collaborate across teams to close gaps between simulation and reality, contributing to cutting-edge robotics research and product development. Relocation assistance available. #J-18808-Ljbffr