Software engineering internship jobs in Pacifica, CA - 5,952 jobs

**Role Number:** 200*********** Would you like to work on SW that runs on every Apple phone, pad, and Mac computer in the world? Join our team of experienced SW engineers and debuggers in validating Apple's world class silicon. In this highly visible role you will be writing functional validation SW for the CPUs, caches, and memory subsystem of our SoCs, with the aim of identifying logic design and circuit bugs. You will be a SW developer for a system validation tool used widely across Apple's Silicon Engineering group, and will collaborate with SoC design and product engineering teams to debug and drive silicon issues to root-cause. **Description** Work with designers and architects to understand the functionality of various blocks in the SoC. Create validation test plans, ensuring all key features are covered. Develop SW workloads to validate various CPU and memory subsystem features. Integration of these workloads into an existing system validation tool. Make enhancements to the tool's SW framework to support new CPU architectures. Drive the bring-up and execution of our validation SW in pre-silicon (FPGAs) and post-silicon (development boards). Debug workload failures using a variety of tools and hooks. Release and distribute our system validation SW to cross-functional teams across Apple. **Minimum Qualifications** + BS and a minimum of 3 years relevant industry experience **Preferred Qualifications** + Strong understanding of micro-processor architecture + Good knowledge of ARM or another CPU instruction set architecture + Familiarity with memory technologies and power management + Experienced C and assembly programmer + Experience with scripting languages such as Python, Perl, or Tcl + Knowledge of software tool chains including including compilers, assemblers, and source control tools + Background in silicon bring-up and debug experience a plus + Ability to work well in a team, but to be responsible and self-driven. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (*********************************************************************************************** .

A global technology company is looking for a skilled Machine Learning Engineer specializing in Computer Vision to develop innovative AI solutions for smart manufacturing. Responsibilities include designing scalable ML infrastructure, implementing deep learning models, and debugging complex algorithms in production environments. Candidates should have a strong foundation in software development along with practical experience in image processing and machine learning. This full-time role offers a competitive salary range of $141,000-$202,000, plus bonuses and equity. #J-18808-Ljbffr

A leading auto insurance company is seeking a Distinguished Engineer with extensive AI/ML experience to lead technical decisions in building innovative products focusing on computer vision technologies. The ideal candidate will have over 15 years in the field and will collaborate closely across teams to drive performance and user experience improvements. This position offers flexibility, competitive compensation, and a comprehensive rewards program. #J-18808-Ljbffr

We're hiring a Lead Software Automation & Toolchain Engineer to join a frontier physical AI startup building autonomous systems that can experiment, reason, and discover in the real world. The team is a small, world-class group pushing beyond simulation and software-only AI. Their systems operate across a 20,000 sq ft physical intelligence factory and support a $42M federally funded program, enabling ML-driven agents to directly command real engineering tools and workflows. This role owns the automation substrate that connects AI agents to the physical world - unifying CAD, EDA, CAE, and scientific tools into clean, deterministic, agent-callable interfaces. You'll define how intelligent systems manipulate real engineering stacks at scale. What you'll do: Build reproducible adapters and automation pipelines that make heterogeneous engineering tools fully agent-callable Design structured APIs, parsers, classifiers, and fault-tolerant execution flows across CAD, EDA, CAE, and scientific toolchains Wrap commercial and open-source engineering tools into deterministic, scriptable workflows with robust validation and recovery Partner closely with ML researchers, agent systems engineers, and domain experts to automate end-to-end engineering workflows Make foundational architecture decisions in a fast-moving, first-principles environment What we're looking for: Senior or Lead-level experience automating engineering or scientific tools (e.g., CAD, EDA, CAE, CAM, COMSOL, simulation platforms) Strong systems-thinking ability across heterogeneous tools, file formats, and execution environments Proven ability to build reproducible, fault-tolerant automation pipelines and structured tool interfaces Comfort working at the boundary of software systems, ML-driven agents, and real-world engineering workflows Thrives in high-ownership, frontier research environments Location: San Francisco or Redwood City

A leading aquaculture technology company in San Francisco seeks a Machine Learning Engineer to develop and deploy machine learning models and algorithms for fish farming. Candidates should have a BS/MS in a relevant field, with 3+ years of experience in data science, strong coding skills in Python and SQL, and excellent data management abilities. This role offers competitive salaries, an unlimited vacation policy, and mentorship opportunities in a fast-paced environment. #J-18808-Ljbffr

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The mission of the Compute team is to provide input into our company-wide cloud infrastructure strategy and efficiency deliverables, advise on key decisions affecting budget, and provide capacity planning and performance expertise to various anthropic-wide stakeholders in finance and engineering leadership. As an early member of this team, you would be required to work with engineering teams to ensure optimal operation and growth of our infrastructure from both a cost and technology perspective and collaborate cross-functionally with finance and data science partners to analyze and forecast growth. Responsibilities: Develop self-service tools and processes to enable anthropic engineers to understand their capacity, efficiency, and costs Design, develop, and lead necessary automation to help capacity plan for both near and long term outcomes Institute and design governance workflows to help manage additional capacity request approvals Investigate new capacity requests to ensure the best use of resources and that instances are sized appropriately Build and drive cost to serve analytics programs to guide engineering, finance, and leadership on the total cost (TCO) and infrastructure impact of our scaling factors. Inform pricing conversations through customer profile sensitive gross margin analysis. Tech lead with outside vendors to manage anthropic capacity needs Proactively identify infrastructure inefficiency opportunities, document proposal and be a key contributor in driving a positive outcome Serve as an advisor to engineering and finance functions and executive team for one of the largest areas of expenditure Work closely with TPMs on special efficiency projects and help deliver committed outcomes You may be a good fit if you: 5+ years experience in capacity engineering 5+ years experience in a technical role Intermediate knowledge of various public cloud providers Experience with data modeling for public cloud Experience with budgeting, capacity planning experience, and cloud efficiency optimization workflows Experience in scripting and building automation tools Self-disciplined and thrives in fast paced environments Familiarity with cloud compute, storage, network, and services Attention to detail and a passion for correctness Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: $320,000 - $405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn aboutour policy for using AI in our application process Apply for this job * indicates a required field First Name * Last Name * Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Website LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? Are you open to relocation for this role? * Select... What is the address from which you plan on working? If you would need to relocate, please type "relocating". (Optional) Personal Preferences How do you pronounce your name? Are you open to working in-person in one of our offices 25% of the time? * Select... AI Policy for Application * Select... We believe that AI will have a transformative impact on the world, and we're seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.” Why Anthropic? * Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.) Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Select... Do you require visa sponsorship? * Select... Additional Information Add a cover letter or anything else you want to share. Publications (e.g. Google Scholar) URL Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Anthropic's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select... Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Voluntary Self-Identification of DisabilityForm CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at ***************** . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson's disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status Select... 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Perception Engineer - Autonomous Heavy Machinery Base Salary Range: $200,000-$300,000 + Equity Travel: Frequent (~50% at customer job sites) About the Opportunity Our client is developing autonomous and tele-operated systems for large-scale industrial vehicles, bringing modern robotics and AI into one of the most complex real-world environments imaginable. Their technology is designed to operate reliably in unstructured, high-variability outdoor settings where safety, robustness, and real-time performance matter. This role is ideal for someone who is deeply motivated by physical systems, enjoys working close to hardware, and wants to see their perception stack directly influence the motion of multi-ton machines in production environments. What You'll Work On Designing and implementing 3D perception pipelines for tele-operated and semi-autonomous industrial vehicles Developing strong classical perception baselines and incrementally advancing them with deep learning-based models where appropriate Building real-time object detection, classification, and tracking systems to improve operator awareness and system safety Performing multi-sensor calibration and fusion across modalities, maintaining spatial and temporal alignment in challenging field conditions Optimizing perception algorithms for real-time execution on embedded compute, balancing latency, stability, and robustness Debugging and validating systems directly on machines operating in real-world job sites What Our Client Is Looking For 2-10 years of experience working on perception systems for robotics or autonomous platforms Strong fundamentals in computer vision, 3D perception, and sensor fusion Experience building systems that operate outside of clean lab environments Comfort working close to hardware and debugging in the field A builder mindset - someone who has created systems from the ground up (professionally or personally) Willingness to travel frequently and spend significant time on-site with customers Ability to work onsite or relocate if needed Bonus Experience Perception experience on heavy machinery, autonomous vehicles, or mobile robots Familiarity with LiDAR, radar, and multi-camera systems Experience deploying perception models to embedded or edge compute platforms Prior exposure to teleoperation or human-in-the-loop autonomy systems Why This Role Is Different Your work directly controls real, large-scale machines, not simulations or demos Heavy exposure to field deployments and customer environments Opportunity to build foundational perception systems at an early stage Tight feedback loop between software, hardware, and real-world behavior

Now Hiring: Systems Software Engineer II 📍 Pleasanton, CA | 💰 $108,000 - $135,000 per year 🏢 About the Role We're looking for an experienced Systems Software Engineer II to join Sunbelt Controls, a leading provider of Building Automation System (BAS) solutions across the Western U.S. In this role, you'll develop and program databases, create custom graphics, and integrate control systems for smart buildings. You'll also support project startups, commissioning, and troubleshooting - working closely with project managers and engineers to deliver high-quality, energy-efficient building automation solutions. If you have a passion for technology, problem-solving, and helping create intelligent building systems, this opportunity is for you. ⚙️ What You'll Do Design and program BAS control system databases and graphics for assigned projects. Lead the startup, commissioning, and troubleshooting of control systems. Work with networked systems and diagnose LAN/WAN connectivity issues. Perform pre-functional and functional system testing, including LEED and Title 24 requirements. Manage project documentation, including as-builts and commissioning records. Coordinate with project teams, subcontractors, and clients for smooth execution. Mentor and support junior Systems Software Engineers. 🧠 What We're Looking For 2-5 years of experience in Building Automation Systems or a related field. Associate's degree in a technical field (Bachelor's in Mechanical or Electrical Engineering preferred). Proficiency in MS Office, Windows, and basic TCP/IP networking. Strong organizational skills and the ability to manage multiple priorities. Excellent communication and customer-service skills. Valid California driver's license. 💎 Why You'll Love Working With Us At Sunbelt Controls, we don't just build smart buildings - we build smart careers. As a 100% employee-owned company (ESOP), we offer a supportive, growth-oriented environment where innovation and teamwork thrive. What we offer: Competitive salary: $108K - $135K, based on experience Employee-owned company culture with a family-oriented feel Comprehensive health, dental, and vision coverage Paid time off, holidays, and 401(k)/retirement plan Professional growth, mentorship, and ongoing learning opportunities Veteran-friendly employer & Equal Opportunity workplace 🌍 About Sunbelt Controls Sunbelt Controls is a premier BAS solutions provider serving clients across multiple industries, including data centers, healthcare, education, biotech, and commercial real estate. We specialize in smart building technology, system retrofits, analytics, and energy efficiency - helping clients reduce operational costs and achieve sustainable performance. 👉 Apply today to join a team that's shaping the future of intelligent buildings. #Sunbelt #BuildingAutomation #SystemsEngineer #HVACControls #BASCareers

Asana's rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we're making a major investment in reliability - and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn't a traditional “ops” role - we're looking for strong software engineers who are passionate about building reliable, distributed systems. You'll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you'll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office‑centric hybrid schedule - in‑office days are Monday, Tuesday, and Thursday. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll do: Influence the future of Asana's SRE practice, especially as we grow the Warsaw team. Lead reliability‑focused projects across our stack - from infrastructure to tooling to incident response. Define and implement Asana's incident management process - we're investing here, and you'll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on‑call rotation - shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it's not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo - but we want this post to actually show up in your searches.) About you: You're a strong and experienced software engineer who's comfortable writing and reading code - this isn't an ops role. You care about reliability, scalability, and long‑term maintainability, not just quick fixes. You might have worked as an SRE before - or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run. You've seen systems at scale (or want to), and you're excited about solving infrastructure problems that have broad impact. You're curious, take initiative, and aren't afraid to work in ambiguous spaces - especially important on a brand new team. You collaborate well across teams and want to help others build more reliable systems. You don't need to know our exact stack, but you're eager to learn whatever it takes to make things better. You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. Why this role? Founding team: You'll be one of the first SREs in Warsaw - and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long‑term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence - whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment (with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family‑forming support with Carrot. Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 23 000 and 33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can't see risks, obligations, or act in time. Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you're buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That's why the world's most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We're consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company's Most Innovative Workplaces. Ironclad has also been named to Forbes' AI 50 and Business Insider's list of Companies to Bet Your Career On. This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Software Engineer, Platform Infrastructure sits under the umbrella of Product and Engineering and plays a pivotal role in ensuring our developers have the tools, infrastructure, and systems to provide our customers with reliable, secure, and scalable software. Roles & Responsibilities: Be part of the Cloud Platform SRE Team, focused on building our Cloud Platform using modern tools and best practices. Champion SRE best practices within the team and throughout the organization Solve the whole problem. Architecture for resiliency, identify risks, and make it happen. Ability to use a wide variety of open source technologies and tools Understanding of Continuous Integration & Continuous Delivery in the software engineering process and can clearly articulate how a Software Engineer, Platform Infrastructure facilitates these practices in collaboration with the Development, Quality Assurance and Technical Operations teams to drive business goals Ability to demonstrate a clear, energetic and excited interest in automating everything (build, test, release/deploy, monitoring, reporting), which includes Infrastructure as Code Preference for collaboration, open communication and reaching across functional borders Thorough understanding of backup/recovery systems, development automation routines, storage area networks and virtualization Be on an on-call rotation to respond to incidents that impact Ironclad's availability, and provide support with internal or customer-facing incidents Develop an understanding of the near, mid, and long-term needs of the business - and understand how the Platform SRE contributes to its success Influence architectural decisions with a focus on security, scalability, and high performance Be a mentor, multiply our team's output with leadership and guidance Key Skills: 8+ years of professional DevOps / SRE experience. 5+ years of coding (Python, Golang, TypeScript Shell Scripting, Rust, etc), scaling, and architecture work. Experience with Typescript is a plus. Expert knowledge of Docker and Kubernetes Experience with Google Cloud Platform (or similar provider) Experience with Build and Deployment tools such as Terraform, CircleCI, ArgoCD Experience with multi-region support is a plus Experience with ELK Stack, MongoDB, Postgres Strong technical aptitude and exceptional communication skills (written and verbal) Ability to appropriately prioritize and respond to different escalations Troubleshooting and analytical skills, drive to help customers, and the ability to dive deep and learn a new product. Experience and desire to work cross-functionally Team and goal-oriented. High output; low ego Benefits: Health, dental, and vision insurance 401k Wellness reimbursement Take what you need vacation policy Generous parental leave for both primary and secondary caregivers Base Salary Range: $180,000 - $200,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad's competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

About Us: Parabola is a workflow builder that makes it easy to organize and transform messy data from anywhere-even PDFs, emails, and spreadsheets-so that forward-thinking teams can automate the work they thought would always be manual. Teams at fast-moving companies like Brooklinen, On Running, and Flexport use Parabola to save hundreds of hours and finally take on the projects that used to feel out of reach. Whether it's reconciling inventory across multiple 3PLs, auditing invoices, or manually exporting the same report every Monday, Parabola gives teams the power to automate it-all without needing engineering support. Parabola is backed by OpenView Partners, Matrix Partners, Thrive Capital and more. About the role: As a Senior Site Reliability Engineer on our rapidly growing team, you'll measure how well our software is working, and from that baseline propel us towards high impact improvements that our customers value. Given our small team, your work might span performance, developer experience, security & compliance, and foundational architecture work. You'll also be on‑call and will improve our technical operations, learning as we go. What you'll be doing: Monitoring our core business‑logic software, both via on‑call and in non‑urgent situations: describing its existing behavior and defining SLOs or SLAs that get us (you and we) to respond. Extending and monitoring our infrastructure stack. Because we are B2B, we have fewer raw users, but their usage is often business‑critical and we need the infrastructure for that. Maintaining both a mental and a reified model of our systems: from this model, estimating risk, planning projects, and debugging efficiently. Collaborating with our engineering team and company leadership from your unique lens on site reliability - being vocal and clear in your expertise in this specialization. Working on our core orchestration logic that determines how to efficiently run tens of thousands of workflows at the same time - we recently rebuilt our orchestrator on top of Temporal and we love it! Advising many parallel major backend engineering projects, both early in planning and through release. Join such projects for building from time‑to‑time. Optimizing our services for scalability, stability, and observability as our customer base grows and our product becomes more sophisticated. Improving our developer experience in tactical ways, and improving our overall engineering processes and practices more broadly, especially given the opportunities & pressures of LLM coding agents. What (we think) you'll need to do it: 5+ years of SRE, DevOps, or Platform engineering experience A proven record of building efficient, performant, and easy to extend systems. Has maintained quantitative metrics of site reliability, while also demonstrating judgment about appropriate strictness for SLOs & SLAs. Given our team size, the expectations are somewhat less formal and mature than many SRE teams have; you will both strengthen our approach, but also navigate tradeoffs. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) and how they interact with backend services, and with Linux. Experience implementing and managing AWS infrastructure. You're not afraid to ask for help, and you're happy to give it, too. You're an enthusiastic communicator and you like working with a team that provides both mutual support and thoughtful critique. You're excited to join a hybrid team and work out of our NYC or SF office ~3 days a week. Nice to haves: Experience with Temporal. Experience building AI platforms, or the tooling and systems behind AI products. Familiarity with Kubernetes/Helm (we use Amazon EKS). Experience implementing and deploying infrastructure‑as‑a‑service (IaaS) tools to manage production cloud environments. Experience managing CI/CD pipeline for multiple environments, and developer experience more broadly. Experience building cloud storage or data modeling products. Experience working at early stage startups. Salary Range: $180,000 - $200,000 This salary range represents the minimum and maximum for this role based in San Francisco and New York. The salary given for this position is dependent on multiple factors, including years of experience, interview performance and anticipated responsibilities of the role. Our base salary is one component of Parabola's competitive total package, which also includes equity and premium health and wellness benefits. #J-18808-Ljbffr

ABOUT US: Astro Mechanica is a vertically integrated aerospace company building a faster, more connected future. Our mission is to democratize high-speed flight by making supersonic travel flexible, accessible, and sustainable. We believe that rapid, on-demand, point-to-point global mobility will become the new standard for moving people and goods across the planet. To achieve this, we are integrating our advanced airframe and engine technologies-which include DualityTM, our proprietary dual-use propulsion system-with a new flight operations model to make supersonic transport as efficient and economical as commercial air travel is today. In the near term, we are developing adaptable, high-speed systems to close aircraft performance gaps for the United States government. WHO WE ARE: We're a team of hardcore engineers who live and breathe aerospace. We're generalists who each have subject matter expertise and operate in a flat organizational structure. We move fast and build world-changing technology in a pragmatic and competent workplace culture. WHO YOU ARE: Astro Mechanica is seeking a Senior Flight Software Engineer to join our growing team. The ideal candidate is excited to develop software that is used to control and fly our products. You will have the opportunity to help architect the full software stack including application, operating system, networking, and firmware. You will work closely with your peers to define and implement the requirements and overall software scope. Your work at Astro Mechanica will be fast-paced in a dynamic startup environment and will have a direct impact on our mission. WHAT YOU'LL DO: Develop highly reliable autonomous software systems and the simulations/ infrastructure required to validate them Own all aspects of software development including design, test, and operations Work closely with other engineering disciplines to design and develop the overall aircraft systems WHAT WE'RE LOOKING FOR: Bachelor's degree in Computer Science, Engineering, Math, or a Science discipline and 4+ years of software development experience; or 6+ years of professional software development experience Experience in C++, Rust, or other systems programming language Experience building or working with real-time systems or distributed computing systems Experience working on embedded systems or the Linux kernel Proven skills in debugging, performance optimization, and unit testing Basic knowledge in controls, fluid systems, motors, or other physical mechanics PERKS AND BENEFITS: Comprehensive medical, dental, and vision insurance, including Flexible Spending Accounts (FSA) 401(k) program and transparent stock option plan Self-managed and flexible time-off policy, including PTO, paid holidays, and sick time Flexible work environment Company-funded perks, including weekly team lunches and Astro Mechanica swag ADDITIONAL INFORMATION: At Astro Mechanica, we highly value in-office work to foster collaboration and strengthen our company culture. We consider working in the office five days a week an essential part of the employee's role. Astro Mechanica is an equal opportunity employer. We proudly recruit and hire a diverse workforce and are committed to creating an inclusive environment for all employees.

Hi #Connections, We do have a Job Opening for, Role-----Staff Software Engineer Please share the suitable resumes to ******************* & ***************************************** Job Description: As a Staff Software Engineer, you will also provide technical leadership: mentoring junior engineers, driving best practices in code reviews and design discussions, and leading initiatives to modernize our software stack. You'll have the opportunity to introduce modern engineering practices (e.g. continuous integration/continuous delivery for embedded, and advanced testing frameworks.) It is hybrid and requires some time in the lab each week. If you are passionate about building high-quality software that has a direct impact on human health, this role offers a unique blend of hands-on development and technical leadership. How You'll Make An Impact: Develop Embedded Control Software: Design and implement the core C++ control software that drives automated lab instruments, handling everything from device initialization to high-level coordination of subsystems to error handling. Orchestration & Scheduling: Develop and maintain scheduling and orchestration logic to coordinate instrument operations (e.g. sample handling, reagent dispensing, measurements) at high throughput (100+ samples/hour). Ensure timed execution of workflows across multiple embedded controllers. Error Handling & Recovery: Build robust error handling and fault recovery mechanisms. Anticipate error conditions (device faults, step loss, etc.) and implement recovery sequences that allow the instrument to safely continue or gracefully halt with minimal downtime. Firmware/Hardware Integration: Interface with distributed firmware microcontroller boards over a CANopen bus (coordinating 10+ boards). Maintain communication protocols and data models for commands/status and ensure reliable real-time messaging between the main software and firmware subsystems. Cross-Functional Collaboration: Work closely with systems engineering to align software with hardware design, with assay scientists to understand requirements, and with quality/regulatory teams to meet compliance and documentation standards. Coordinate integration activities and troubleshooting across mechanical, electronics, and assay domains. Technical Leadership & Mentoring: Mentor junior and mid-level software engineers by sharing best practices in embedded development, performing design and code reviews, and guiding problem solving. Lead architectural discussions and contribute to design documentation for new features and systems. Lab work: Triaging and troubleshooting hardware/software integration issues, and providing expert technical guidance to cross-functional teams. Testing & Automation: Drive improvements in software quality by expanding integration testing and simulation. Lead the development of hardware simulation frameworks and automated test suites to validate instrument behavior in CI/CD pipelines. Champion the use of continuous integration, unit testing, and other modern DevOps practices to increase software reliability and maintainability. What You Bring: Education & Work Experience: Bachelor's or master's degree in computer science, electrical/computer engineering, related field, or the equivalent experience. Prior experience in an embedded software engineering role designing complex instrument or device software. Embedded C++ Expertise: Extensive experience programming in modern C++ for embedded systems, with a minimum of five years. Strong understanding of object-oriented design, multi-threading, and memory management in constrained environments. RTOS/Embedded Linux Experience: Hands-on experience developing for embedded Linux (e.g., Yocto) or on real-time operating systems (e.g., QNX). Comfortable with low-level OS concepts, device drivers, and optimizing performance on single-board computers. High-Reliability Systems: Proven ability to design software for high uptime and reliability. Experience with fail-safe mechanisms, state machines for complex device control, and graceful degradation of functionality under fault conditions. Testing & CI/CD for Embedded: Familiarity with automated testing frameworks and continuous integration in an embedded context. Experience writing unit and integration tests for embedded code, using hardware-in-loop or simulation, and using CI tools to catch issues early. Collaborative Communication: Excellent cross-functional communication and teamwork skills. Ability to work closely with other engineering disciplines and to clearly articulate technical information to non-software stakeholders. Preferred Experience Industry Domain: Background in laboratory equipment, clinical diagnostics, or medical device development. Familiarity with the regulatory environment and standards for medical device software (e.g. IEC 62304, ISO 13485) is a plus. Fieldbus Communication: Solid knowledge of industrial communication protocols. Familiarity with CAN/CANopen is a plus - including defining CANopen object dictionaries, PDO/SDO communication, and network management - or comparable experience with similar fieldbus protocols (e.g. Modbus, EtherCAT). Legacy System Modernization: Experience modernizing legacy codebase and bringing in contemporary best practices. For example, migrating software to newer C++ standards, refactoring for good architectural patterns, or introducing CI/CD and test automation to legacy embedded projects. Lab Automation & Robotics: Exposure to lab automation robotics, fluidics control, or high-throughput instrumentation. Understanding of timing and scheduling challenges in systems that process many samples in parallel. Simulation and Modeling: Experience with creating simulation models of hardware or using tools to emulate instrument components for testing. This could include using frameworks to simulate sensors/actuators or modeling physical processes to test control algorithms. Please share the suitable resumes to ******************* & ***************************************** Please attach the Updated Resume: Kindly fill details, 1. Years of Exp---- 2. Current Location-------- Thanks & Regards., Ramkumar.R || Sr.Technical Recruiter Email: ******************* Linkedin ID: ***************************************** 4701 Patrick Henry Drive Building 16 Santa Clara CA 95054, USA.

ANELLO Photonics ****************************** is a leading-edge technology company based in Santa Clara, CA. The company has developed integrated photonic system-on-chip technology for next generation navigation. ANELLO's SIPHOGTM gyroscope is based on its patented photonic integrated circuit technology. The result is a product that is higher performance, much smaller size, weight, and power at a fraction of the cost of traditional optical gyros used in industrial, aerospace and military applications. It enables reliable and accurate navigation and positioning across many autonomous applications. ANELLO is currently engaged in commercial trials with various market-leading customers in the Construction, Farming, Trucking, Unmanned Aerial Vehicles, Autonomous Vehicles, and National Security segments. Job Summary: The Navigation Engineer develops and implements navigation algorithms for ANELLO systems that may be utilized on a variety of vehicle types, including ground, air and marine. The position will be integral member of navigation projects from requirements and software architecture to algorithms design, implementation, tuning and validation. ANELLO is creating navigation systems that will address the need for robust solutions in GNSS-challenged and GNSS-denied environments. Responsibilities: Collaborate and help craft the vision and roadmap for ANELLO navigation products Collaborate in highly multi-functional environment and work closely with systems, sensor, control, software, simulations, and business-related team members Participate in navigation tasks including system trade studies, component modeling of inertial measurement units (IMU), global navigation satellite systems (GNSS), camera, radar, LiDAR as well as simulation of navigation algorithms Help define requirements for vehicle sensors and state estimation software including sensors selection, voting, monitoring, fault detection, and sensor fusion Work with a multi-disciplinary team to develop and integrate complex hardware/software systems Contribute to architecture concepts, concept of operations, and technology trade studies Analyze, source, and select sensor solutions for use in the navigation system Give technical presentations and provide technical support to ANELLO team members Experience: BS (MS or Phd preferred) in Physics, EE, Aerospace Engineering, Applied Math, or other related fields 2+ years experience in sensor signal processing and sensor fusion algorithms (an equivalent combination of education and experience will be considered) Experience prototyping algorithms in Matlab, Python, Julia or similar tools Proficiency in C, C++ and Python Experience with GNSS aided inertial navigation system and performance analysis of navigation systems and navigation state error estimation with knowledge of optimal state estimation filters such as Kalman Filter and Extended Kalman filter (EKF) Solid understanding of state estimation techniques: state observers, Kalman filter, nonlinear state estimation Exceptional organizational, presentation, and communication skills Strong proficiency in modern software development workflows and practices, including version control, build and test systems, and peer review Strong mathematical skills and experience implementing mathematical frameworks Understanding of classical and modern navigation methodologies Additional Information: Start/end dates and duration of internship are flexible Due to U.S. government contract requirements ANELLO works under, applicants must be authorized to work in the United States without sponsorship. U.S. citizenship or Green Card required.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between Fall 2026 through Spring 2028. Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Autonomy ADAS Electrical Hardware, Sensors Qualifications Must be currently pursuing a bachelors, masters, or PhD degree at an accredited university. Actively pursuing a degree or one closely related in computer science, computer engineering, electrical engineering or similar. Development experience in one or more areas of computer vision, image/video, deep learning. Experience programming in C++, Python, or related languages. Solid understanding of machine learning, deep learning, and neural network architectures. Proficiency in using computer vision and deep learning toolkits. Passionately motivated to take ideas from R&D phase to a product Strong written communication and presentation skills. Pay Disclosure The salary range for this role is $33.00-51.00/HR for Palo Alto based applicants, $26.00-45.00/HR for Irvine based applicants, and $25.00-$40.00/HR for Normal or Plymouth based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs. We offer a comprehensive package of benefits including but not limited to paid vacation, paid sick leave, and medical insurance benefits. More information about benefits is available at rivianbenefits.com. You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). There is no fixed deadline for this application; applications are accepted on an ongoing basis until the role is filled or the opening is no longer needed. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. 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. Rivian 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 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 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 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 affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, 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 note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree at an accredited university. Actively pursuing a degree or one closely related in computer science, computer engineering, electrical engineering or similar. Development experience in one or more areas of computer vision, image/video, deep learning. Experience programming in C++, Python, or related languages. Solid understanding of machine learning, deep learning, and neural network architectures. Proficiency in using computer vision and deep learning toolkits. Passionately motivated to take ideas from R&D phase to a product Strong written communication and presentation skills. Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Autonomy ADAS Electrical Hardware, Sensors

Responsibilities: Develop and test components of FortiChat AI/Smart Assist systems. Involve in troubleshooting and resolving issues in the existing products. Execute system integration in both cloud-based and on premise environment Managing code updates using Source Control systems to ensure code quality Optimize and support existing systems and documents Duration of Internship: 2 months The US Hourly Pay Range for this temporary position (Internship) is $45 USD. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

**Role Number:** 200635186-0836 At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. We are looking for software engineers with background in embedded software development to join a fast-paced environment. In this role, you will contribute to developing embedded software solution, debug and bring-up of the state-of-the-art next generation SOCs, supporting current and future Apple products. Your work will have a critical impact on getting high quality functional products to millions of customers quickly. You will be part of our core infrastructure team responsible for developing and improving our embedded silicon test software platforms, including Common Firmware Environment and RTOS. **Description** Develop boot and driver code for Apple SOC, including AP clusters, IO Co-Processor system, fabric, power management, memory and other I/O devices Design, implement, and enhance Common Firmware Environment (CFE) and other platform software for Apple silicon validation organization. Develop system software to exercise power saving feature (suspend and resume) Contribute to SDRAM initialization and calibration development. Implement firmware driver for PMIC and battery charging Participate in the chip bring-up on simulator, emulation, FPGA and silicon Develop applications covering system level use cases and functional features Participate in SOC architecture, design specification and board schematics review **Minimum Qualifications** + A minimum of a bachelor's degree and a minimum of 3 years of relevant industry experience in silicon validation software engineering or related field. **Preferred Qualifications** + Proficient in C/C++, assembly a plus + Background in embedded software development, bare metal, RTOS and/or Linux + Solid understanding about ARM specification, computer architecture, operating system + Experience in boot code, CPU & SOC initialization, device drivers + Familiar with IO protocols: I2C, SPMI, UART, GPIO + Experience in lp DDR4/5, DRAM initialization and calibration a big plus + Good troubleshooting skills in silicon bring-up and embedded software debugging + Experience with script language such as Python, Perl, or Tcl Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (*********************************************************************************************** .

GEICO . For more information, please .**Overview**: GEICO is on a multi-year journey to transform the insurance industry with Artificial Intelligence. **The Team****:** The AI Modeling and Research team is part of the AI Org, which is Geico's strategic investment with the mission to transform Geico into an AI-first company. AI org is led by Vice President, Head of AI. AI Org is in the Technology, Product and AI (TPA) org at Geico. TPA is led by the Chief Technology, Product and AI Officer, who reports to the CEO of Geico. **The Role Purpose**: We are looking for a highly experienced Distinguished Engineer who has deep insights into ML modeling for computer vision and can lead major technical decisions on how the company can build cutting-edge products powered by industry leading computer vision technologies. The candidate should build close partnerships with product, engineering and operation leadership across the company. This role will report directly to the Senior Director of AI Modeling and Research. **Responsibilities:** To be successful in this role, you will need: Continuously improving system performance, scalability, and user experience.**Qualifications****:** 15+ years of hands-on experience in AI/ML in a production environment.Successful leadership experience in leading the technical decisons for teams of size >= 15.Strong communication and collaboration skills across technical and non-technical teams.* Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.* Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.* Access to additional benefits like mental healthcare as well as fertility and adoption assistance.* Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.At GEICO,we offer a rewarding career where your ambitions are met with endless possibilities.Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. #J-18808-Ljbffr

We're hiring a Lead Software Automation & Toolchain Engineer to join a frontier physical AI startup building autonomous systems that can experiment, reason, and discover in the real world. The team is a small, world-class group pushing beyond simulation and software-only AI. Their systems operate across a 20,000 sq ft physical intelligence factory and support a $42M federally funded program, enabling ML-driven agents to directly command real engineering tools and workflows. This role owns the automation substrate that connects AI agents to the physical world - unifying CAD, EDA, CAE, and scientific tools into clean, deterministic, agent-callable interfaces. You'll define how intelligent systems manipulate real engineering stacks at scale. What you'll do: Build reproducible adapters and automation pipelines that make heterogeneous engineering tools fully agent-callable Design structured APIs, parsers, classifiers, and fault-tolerant execution flows across CAD, EDA, CAE, and scientific toolchains Wrap commercial and open-source engineering tools into deterministic, scriptable workflows with robust validation and recovery Partner closely with ML researchers, agent systems engineers, and domain experts to automate end-to-end engineering workflows Make foundational architecture decisions in a fast-moving, first-principles environment What we're looking for: Senior or Lead-level experience automating engineering or scientific tools (e.g., CAD, EDA, CAE, CAM, COMSOL, simulation platforms) Strong systems-thinking ability across heterogeneous tools, file formats, and execution environments Proven ability to build reproducible, fault-tolerant automation pipelines and structured tool interfaces Comfort working at the boundary of software systems, ML-driven agents, and real-world engineering workflows Thrives in high-ownership, frontier research environments Location: San Francisco or Redwood City