Software engineering internship jobs in San Rafael, CA - 4,676 jobs

We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.Responsibilities include but not limited to:- Adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems.- Collaborate with others to drive requirements and validation tests to ship models.- Take a practical approach to problem solving and adapt to an evolving environment.- Deliver clean, modular, testable algorithm code.- Communicate and work effectively with cross-functional partners.The ideal candidate should possess the following qualities:- Be highly-motivated and take initiative to achieve goals, while delivering on schedule.- Has a sense of curiosity and willingness to learn new things in order to improve the quality of their solutions.- Works well in a collaborative setting. Minimum Qualifications BS and a minimum of 3 years relevant industry experience Software engineering skills and proficiency in Python and PyTorch. Preferred Qualifications MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. Comprehensive understanding of diffusion models, transformers and auto-encoders. Capable of making well-informed and practical decisions in a rapidly evolving environment. Excellent communication and experience working with multi-functional teams. Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule. Good software engineering skills and proficiency in C/C++. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 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 . #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. 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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

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approachisbased on silicon photonics. Byleveragingthe advanced semiconductor manufacturing industry-including partners like GlobalFoundries-we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photonsdon'tfeel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024,PsiQuantumannounced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining-and that now is the time to scale. PsiQuantumalso develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies-including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical-to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a path to mastering challenges that cannot besolvedany other way. The potential is enormous, and we have a clearpathto make it real. Come join us. Job Summary: PsiQuantum's applications team is uniquely focused on algorithms in the fault tolerant regime and is very tightly integrated with quantum architecture development. Within that team, the role of a quantum applications software engineer is to design, build and deploy tools which drive the development of quantum applications for solving the world's most pressing problems. As a crucial member within the team, a quantum application software engineer's job is to work closely with quantum applications architects and engineers to develop software toolkits and workflows, without which the team could not do their job. Such tools include (but are not limited to): quantum simulators, quantum resource estimators, quantum circuit compilation, and domain-specific quantum application integration. This work takes quantum algorithms from concept to reality, may involve close collaboration with external partners on specific use cases, and directly enables the discovery of both new quantum application use-cases and novel algorithmic techniques. Responsibilities: Lead the design, development, and deployment of quantum applications software tools to support both internal and external users. Maintain, service and upgrade a high-quality codebase supported by a fast and reliable simulation infrastructure. Work closely with internal and external partners and other members of the quantum applications team to design, implement and analyze quantum algorithms for real-world use cases. Assist with full system analysis to evaluate and optimize resource requirements for fault tolerant computations. Assist with the optimization of quantum algorithms at the subroutine, circuit, and compiled gate-set level. Experience/Qualifications: Graduate degree in Physics, Math, or Computer Science or equivalent required (MSc or PhD). Practical experience in quantum computing, programming quantum applications, or quantum circuit compilation. 5+ years professional experience programming and releasing production code in Python, C++, or similar languages. Experience with quantum algorithms or compiling in the regime of fault tolerant gates preferred. Experience with deployment of code in distributed environments, cloud application development, and RESTful API-driven architectures. A results-driven "doer", preferably with experience in a high-throughput, rapid-delivery work environment. A problem solver, with an analytical mindset. Proven team player with an ability to work effectively across departments, sites, and time zones. Ability to work independently and contribute in fast-moving start-up environment. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to . We are not accepting unsolicited resumes from employment agencies. The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located.Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future. U.S. Base Pay Range $140,000-$160,000 USDBay Area Pay Range $170,000-$185,000 USD

Job Responsibilities: * Develop and maintain software components on current and future networking related products. * Design, develop and implement highly scalable software features and infrastructure on our next-generation security platform ready for cloud native deployment * Hands on in bug fixing current products. * Work closely with DevOps and QA team to deliver high quality products * Profile, optimize and tune systems software (management/control/dataplane) for efficient cloud operation * Implement software features of high quality and on schedule. * Communicate effectively, both verbal and written. Job Requirements: * Rich experience in cloud based product related software development and cross-platform development * Strong knowledge and experiences and hands-on programming skills in Python, and debugging skills; * Experience with Docker and Kubernetes or other container orchestration and traffic steering platforms * Strong understanding of principles of DevOps and Continuous Delivery * Good understanding of cloud-based product design's considerations and limitations in areas of microservice architectures, security, global network infrastructure, distributed systems, and load balancing. * Good knowledge in Firewall, IPSec, SSL, IdP, TLS, DNS, CASB, SDN, and TCP/IP networking * Knowledge of Go and C/C++ is a plus. Educational Requirements: * B.S. in Computer Science or Math or Electrical Engineering; M.S. preferred The US base salary range for this full-time position is $185,000- $250,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. 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. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. 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.

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

Apply for JobJob ID696295 Full/Part TimeFull-Time Regular/TemporaryTemporary Add to Favorite JobsEmail this Job What Your Job Will Be Like The Computer Science Research Institute (CSRI) seeks several students (job title: summer R&D undergraduate intern) to participate in collaborative research across a wide range of areas in computer science, applied mathematics, discrete mathematics, mathematical modeling, computational science and engineering, and high-performance computing. Possible research areas are broad and include quantum computing, artificial intelligence, machine learning, advanced computer architectures, systems software, parallel algorithms, programming languages and paradigms, data sciences, materials, combinatorial mathematics, discrete event simulation, scalable solvers, continuous and discrete optimization, uncertainty quantification, statistics, multiscale methods and mathematics, multiphysics modeling, visualization, meshing, advanced modeling and simulation, human decision modeling, and brain inspired computing. Students are also sought with interests in applying computational methods to scientific and engineering applications including shock physics, molecular dynamics, magnetohydrodynamics, computational fluid dynamics, electrical systems, and climate security. These student internships are for motivated and enthusiastic individuals with excellent communication skills and who have the desire to gain research experience in a highly collaborative research environment. Successful applicants will be exposed to a wide range of computational research at Sandia and will have a strong project-based research experience working directly with Sandia staff scientists. This opportunity is for Sandia's Livermore, CA laboratory. On any given day, the intern maybe involved in activities related to the above research areas. Depending on the intern interests, the work may be more focused on research or software development. Potential activities include: Assisting with research and development activities (reviewing existing techniques, seeking new approaches, developing computing solutions) Helping to develop algorithms and software for the research area Helping to run simulation codes Collaboration with Sandia staff involved in the research area Assisting with publication of analysis Presenting results to the research group The selected applicant can be a remote worker located in any U.S. State or District of Columbia. Regular or periodic travel to your assigned work location may be required. Salary Range At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here. Qualifications We Require You bring the confidence and skills to be eligible for the job by meeting these minimum requirements: Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited undergraduate program Pursuing a science, engineering, or math major Minimum cumulative GPA of 3.0/4.0 Ability to work up to 40 hours per week during the summer U.S. citizens, legal permanent residents, asylees or refugees in the U.S. Note: If you have not earned a HS diploma or equivalent, please apply to a high school intern position. Qualifications We Desire Majoring in chemistry, computer science, engineering, mathematics, neuroscience, physics, statistics, or a related field Communication skills appropriate for participating in multi-disciplinary research teams Software development and programming experience (C++, C, Fortran, Matlab, Java, Python) Knowledge or the interest to learn parallel programming such as MPI, OpenMP, and/or threads Experience with mathematical modeling techniques (e.g., linear and integer programming, statistical modeling, system dynamics modeling) Posting Duration This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. About Our Team The Computer Science Research Institute (CSRI) at Sandia creates technology and solutions for many of our nation's most demanding national security challenges. The Institutes' portfolio spans the spectrum from fundamental research to state-of-the-art applications. Our work includes computer system architecture (both hardware and software); enabling technology for modeling physical and engineering systems; and support research in discrete mathematics, data analytics, and decision support. The CSRI enterprise is closely tied to the laboratories' broader set of missions and strategies. Application areas include nuclear weapons, cyber security, climate modeling, alternative energy technologies, and improvements to the power grid. We also serve as stewards of important capabilities for the nation in high-strain-rate physics, scientific visualization, mesh generation, and computational materials. We maintain world-class research programs in computational and discrete mathematics, computer science, scalable algorithms, and large-scale high performance computer systems. The CSRI is an exciting and highly multidisciplinary research environment. CSRI interns have access to Sandia's state-of-the-art parallel-computing environment including numerous large-scale clusters, visualization servers, and other specialized computing systems. About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: Challenging work with amazing impact that contributes to security, peace, and freedom worldwide Extraordinary co-workers Some of the best tools, equipment, and research facilities in the world Career advancement and enrichment opportunities Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: *These benefits vary by job classification. Security Clearance This position does not currently require a Department of Energy (DOE) security clearance. Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment. Under federal law, citizens and agents of the People's Republic of China, the Islamic Republic of Iran, the Democratic People's Republic of North Korea, and the Russian Federation are generally prohibited from accessing Sandia National Laboratories. Accordingly, such individuals will not be considered for employment unless they are also a citizen of the United States. If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment, are required to go through the Uncleared Personal Identity Verification (UPIV) process. Access includes physical and/or cyber (logical) access, as well as remote access to any NNSA information technology (IT) systems. UPIV requirements are not applicable to individuals who require a DOE personnel security clearance for the performance of their SNL employment or to foreign nationals. The UPIV process will include the completion of a USAccess Enrollment, SF-85 (Questionnaire for Non-Sensitive Positions) and OF-306 (Declaration of for Federal Employment). An unfavorable UPIV determination will result in immediate retrieval of the SNL issued badge, removal of cyber (logical) access and/or removal from SNL subcontract. All MOWs may appeal the unfavorable UPIV determination to DOE/NNSA immediately. If the appeal is unsuccessful, the MOW may try to go through the UPIV process one year after the decision date. EEO All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG) 📋 GenAI Healthcare 📍 Hybird in SF 💸 Competitive base + hefty bonus We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform empowers physicians with AI-driven copilots, enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals across 300,000 facilities. The company brings together top healthcare and technology experts, operators, and leading clinical advisors to drive innovation in precision medicine. We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on Retrieval-Augmented Generation (RAG), knowledge systems, and AI-native backend architectures. This role is ideal for a senior technical leader who has designed and productionized LLM systems, worked with clinical, healthcare, or healthtech data, and can operate at both architectural and implementation depth. You will play a critical role in shaping the AI platform that powers clinician-facing copilots and decision-support tools, while ensuring correctness, safety, scalability, and regulatory compliance. Responsibilities: LLM & RAG System Architecture Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows. Architect knowledge retrieval systems that combine structured and unstructured clinical data (guidelines, policies, patient context, claims, formularies, etc.). Healthcare & Clinical AI Applications Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements. Partner closely with clinical, product, and data science teams to translate real-world clinical workflows into reliable AI-driven experiences. AI Platform & Backend Engineering Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management. Implement fault-tolerant, secure, and high-availability systems capable of operating at healthcare scale. Evaluation, Safety & Quality Lead the design of LLM evaluation frameworks (hallucination detection, grounding, faithfulness, latency, cost, and clinical relevance). Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals. Technical Leadership & Mentorship Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy. Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality. Cross-Functional Collaboration Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of professional software engineering experience, with 3+ years working directly with LLM-based systems in production environments. Hands-on experience designing and deploying RAG architectures, including embeddings, vector databases, retrieval strategies, and prompt orchestration. Strong proficiency in Python and experience with modern backend stacks (REST/gRPC APIs, async systems, microservices). Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data. Proven ability to design systems that are scalable, secure, observable, and maintainable. Preferred Qualifications: Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets. Familiarity with LLM evaluation tooling and frameworks (e.g., RAGAS, custom eval pipelines, automated and human feedback loops). Experience with cloud-native architectures (preferably Azure) and containerized deployments. Knowledge of data privacy, governance, and security best practices in healthcare environments. Experience influencing technical direction at Staff or Principal scope across multiple teams or systems. Benefits: Competitive salary and performance-based bonuses. Opportunities for professional growth and leadership in a rapidly scaling AI-native healthcare company. Collaborative, mission-driven work environment with top-tier clinical and technical talent. Opportunity to build cutting-edge AI systems with real-world clinical impact. 📧 Interested in applying? Please click on the ‘Easy Apply' button

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

We're partnering with a fast-growing healthcare AI company building production-grade software that connects advanced machine-learning models directly into real clinical workflows. This role sits at the intersection of full-stack engineering, cloud infrastructure, and data-intensive systems supporting clinician-facing applications. You'll work on systems that handle voice-driven clinical documentation, structured report generation, and backend services that operate at scale in a regulated environment. What You'll Work On: Build and operate full-stack services supporting clinician workflows and AI-powered applications Develop systems that transform voice dictation and model outputs into structured clinical reports Create workflows for drafting, editing, and final clinician sign-off Design and maintain low-latency, scalable backend services in the cloud Work with large volumes of structured and unstructured data, including metadata and model outputs Partner closely with machine-learning and infrastructure teams to bring inference into production Own services end-to-end: design, implementation, deployment, and ongoing reliability What We're Looking For: Demonstrated ability to build and ship full-stack systems in production environments Experience designing, deploying, and operating cloud-based services (AWS preferred) Comfort owning API-driven, data-intensive systems Experience working with distributed systems and production reliability concerns Familiarity with a modern backend stack, such as: AWS (e.g., EC2, S3, ECS/EKS, IAM, monitoring/logging tools) Python-based backend services (e.g., FastAPI or similar frameworks) Relational databases (e.g., PostgreSQL or equivalent) Strong ownership mindset and sound engineering judgment This team is not credential-driven - they value clear evidence of impact, technical depth, and the ability to own complex systems. Nice to Have: Experience with report generation, document workflows, or structured text pipelines Exposure to ML inference pipelines or AI-powered production systems Background working in healthcare or other regulated environments

A leading technology company in Sunnyvale is seeking a CVML Engineer to drive innovation in 3D and 4D computer vision and health applications. The role requires a Bachelor's degree and experience in computer vision algorithms. Candidates should be proficient in Python and PyTorch, with a strong foundation in linear algebra and optimization principles. Competitive compensation and comprehensive benefits included. #J-18808-Ljbffr

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

💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG) 📋 GenAI Healthcare 📍 Hybird in SF 💸 Competitive base + hefty bonus We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform empowers physicians with AI-driven copilots, enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals across 300,000 facilities. The company brings together top healthcare and technology experts, operators, and leading clinical advisors to drive innovation in precision medicine. We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on Retrieval-Augmented Generation (RAG), knowledge systems, and AI-native backend architectures. This role is ideal for a senior technical leader who has designed and productionized LLM systems, worked with clinical, healthcare, or healthtech data, and can operate at both architectural and implementation depth. You will play a critical role in shaping the AI platform that powers clinician-facing copilots and decision-support tools, while ensuring correctness, safety, scalability, and regulatory compliance. Responsibilities: LLM & RAG System Architecture Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows. Architect knowledge retrieval systems that combine structured and unstructured clinical data (guidelines, policies, patient context, claims, formularies, etc.). Healthcare & Clinical AI Applications Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements. Partner closely with clinical, product, and data science teams to translate real-world clinical workflows into reliable AI-driven experiences. AI Platform & Backend Engineering Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management. Implement fault-tolerant, secure, and high-availability systems capable of operating at healthcare scale. Evaluation, Safety & Quality Lead the design of LLM evaluation frameworks (hallucination detection, grounding, faithfulness, latency, cost, and clinical relevance). Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals. Technical Leadership & Mentorship Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy. Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality. Cross-Functional Collaboration Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of professional software engineering experience, with 3+ years working directly with LLM-based systems in production environments. Hands-on experience designing and deploying RAG architectures, including embeddings, vector databases, retrieval strategies, and prompt orchestration. Strong proficiency in Python and experience with modern backend stacks (REST/gRPC APIs, async systems, microservices). Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data. Proven ability to design systems that are scalable, secure, observable, and maintainable. Preferred Qualifications: Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets. Familiarity with LLM evaluation tooling and frameworks (e.g., RAGAS, custom eval pipelines, automated and human feedback loops). Experience with cloud-native architectures (preferably Azure) and containerized deployments. Knowledge of data privacy, governance, and security best practices in healthcare environments. Experience influencing technical direction at Staff or Principal scope across multiple teams or systems. Benefits: Competitive salary and performance-based bonuses. Opportunities for professional growth and leadership in a rapidly scaling AI-native healthcare company. Collaborative, mission-driven work environment with top-tier clinical and technical talent. Opportunity to build cutting-edge AI systems with real-world clinical impact. 📧 Interested in applying? Please click on the ‘Easy Apply' button

Apply for JobJob ID696398 Full/Part TimeFull-Time Regular/TemporaryTemporary Add to Favorite JobsEmail this Job What Your Job Will Be Like We are seeking Summer - R&D Graduate Interns from PARTNERS universities (University of Central Florida, Florida A&M University, University of California Irvine), as part of the NNSA Minority Serving Institution Partnership Program (MSIPP), to work collaboratively with Sandia National Laboratories (Livermore, CA) R&D staff to perform cutting-edge research, analyze experimental data, develop models, and run simulations. Work tasks identified for interns include research in the following topic areas: Implement advanced optical and laser diagnostics to investigate complex reacting flows and quantify key physical and chemical processes Employ commercial CFD packages and high-fidelity research codes to simulate and analyze these processes Leverage collected experimental and simulation data to refine combustion models and develop predictive tools for devices and fuels Build data-acquisition and analysis systems, selecting hardware and using custom code alongside commercial acquisition, processing, and monitoring software Design, fabricate, install, and test electrical/mechanical components, instrumentation (pressure, temperature, flow), and control systems for optically accessible research facilities Salary Range At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here. Qualifications We Require You bring the confidence and skills to be eligible for the job by meeting these minimum requirements: Earned bachelor's degree Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program Minimum cumulative GPA of 3.0/4.0 Ability to work up to 40 hours per week during the summer U.S. citizen, legal permanent resident, asylees, or refugees in the U.S. Note: If you have not yet started your graduate program, please apply to an undergraduate intern position. Qualifications We Desire Some desired qualifications for a well-qualified intern would have experience in a following area: Currently attending and enrolled full time or scheduled to graduate in the Spring of 2026 from one of the university partners: University of Central Florida, Florida A&M University, or University of California Irvine. Desired Majors: Mechanical Engineering, Aerospace Engineering, Thermal and Fluid Science or similar Data analysis and programming experience in MATLAB and Python Modeling, simulation, and/or experimental research experience Research presentation at technical conferences Research publications in technical journals Posting Duration This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. About Our Team The Partnership and Training for NNSA Engineering and Relevant Sciences (PARTNERS) team is a consortium of national laboratories (Sandia National Laboratories, Lawrence Livermore National Laboratory, Los Alamos National Laboratory) and universities (University of Central Florida, Florida A&M University, University of California Irvine) working together to increase the number of students that can obtain NNSA-relevant engineering degrees, enhancing the candidate pool for future DOE/NNSA and industry hires. At Sandia you will work with an interdisciplinary team of researchers in engineering, physics, chemistry, geoscience, computer science and applied mathematics united by anticipating and delivering technical solutions to emergent challenges impacting the United States global security posture. We work closely with research centers across the lab and academia to cultivate broad and agile team of subject matter experts to accelerate the path to innovation while delivering impactful technical solutions to our partners in National Nuclear Security Administration, Department of Energy. About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: Challenging work with amazing impact that contributes to security, peace, and freedom worldwide Extraordinary co-workers Some of the best tools, equipment, and research facilities in the world Career advancement and enrichment opportunities Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: *These benefits vary by job classification. Security Clearance This position does not currently require a Department of Energy (DOE) security clearance. Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment. Under federal law, citizens and agents of the People's Republic of China, the Islamic Republic of Iran, the Democratic People's Republic of North Korea, and the Russian Federation are generally prohibited from accessing Sandia National Laboratories. Accordingly, such individuals will not be considered for employment unless they are also a citizen of the United States. If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment, are required to go through the Uncleared Personal Identity Verification (UPIV) process. Access includes physical and/or cyber (logical) access, as well as remote access to any NNSA information technology (IT) systems. UPIV requirements are not applicable to individuals who require a DOE personnel security clearance for the performance of their SNL employment or to foreign nationals. The UPIV process will include the completion of a USAccess Enrollment, SF-85 (Questionnaire for Non-Sensitive Positions) and OF-306 (Declaration of for Federal Employment). An unfavorable UPIV determination will result in immediate retrieval of the SNL issued badge, removal of cyber (logical) access and/or removal from SNL subcontract. All MOWs may appeal the unfavorable UPIV determination to DOE/NNSA immediately. If the appeal is unsuccessful, the MOW may try to go through the UPIV process one year after the decision date. EEO All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.