Software engineering internship jobs in Menlo Park, CA - 5,985 jobs

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Principal Software Development Build Engineer in Santa Clara, California . What you'll achieve As a Principal Software Development Build Engineer, you will own and evolve CI/CD pipelines, build automation and release processes for our scale-out storage and data protection platform. You'll drive modernization of build systems, ensure fast/reliable releases and mentor junior engineers while collaborating closely with development, QA and operations. You will: Architect and optimize build/release pipelines for complex, distributed software Lead improvements in CI/CD workflows, automation, and developer productivity Troubleshoot build failures and enforce branching, versioning, and governance standards Integrate test automation and security checks into pipelines Mentor engineers and drive adoption of modern build tools and practices Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 8+ years experience in build/release engineering or DevOps (or equivalent skill) Expertise with CI/CD platforms e.g. Jenkins, GitLab CI, GitHub Actions Proficiency in Python, Bash or Groovy for automation Experience with Git-based SCM, artifact management (Artifactory/Nexus), and containerized builds (Docker/K8s) Desirable Skills: Bachelor's or Master's degree in Computer Science, Engineering or related field Knowledge of modern build systems e.g. Bazel, CMake and cloud CI/CD Compensation Dell is committed to fair and equitable compensation practices. The base salary range for this position is $205,700-$266,200 . Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R283658

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

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

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

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

Contract IT Role: Senior Developer - Embedded Wi-Fi Duration: 6+ Months BGV will be done for the selected candidates. 8+ years of experience in Embedded Software Development in C/Linux Environment Qualifications Expertise in Wi-Fi chipset Driver Development / Porting / Integration Domain Knowledge in 802.11 a/b/g/n/ac Expertise in Wi-Fi open source components - LwIP, WPA Supplicants, D‑Bus, ConnMan Expertise in C Programming Preferred Experience in Wi-Fi chipsets from Broadcomm Work Experience in Chipset Provider, OEM, SOC companies Application Details Please respond with your word resume and requested details: Full Name Work Authorization Contact Number Email ID Skype ID Current location Willing to relocate Rate/hr All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG) 📋 GenAI Healthcare 📍 Hybrid 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 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. 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 RAG, knowledge systems, and AI-native backend architectures. Responsibilities: Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows. 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 Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals. 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. 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. 7+ years of professional software engineering experience, with 2+ years working directly with LLM-based systems in production environments. Hands-on experience designing and deploying RAG architectures Strong proficiency in Python and experience with modern backend stacks 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 Experience with cloud-native architectures and containerized deployments 📧 Interested in applying? Please click on the ‘Easy Apply' button

Location: San Jose (full time onsite) Engagement: Contract (1099 or W2) Duration: 6-12 months FTE conversion thereafter. Hourly rate: The focus is on finding the right person, therefore open to market rate. Overview In this senior leadership capacity, you will spearhead the engineering of sophisticated flight emulation platforms designed for rigorous system certification and pilot-interaction studies. You will be responsible for modernizing deployment workflows through automated integration cycles and partnering with multidisciplinary teams to synchronize physical components within synchronized, real-time testing frameworks. By overseeing the full lifecycle of virtualized environments-ranging from component-level benches to full-scale "Iron Bird" rigs-you will ensure simulation accuracy by reconciling digital outputs with empirical data from live flight operations. Beyond the technical architecture, you will define the UI strategy for simulation control, manage the resolution of intricate distributed system anomalies, and cultivate a culture of elite technical mentorship and strategic project execution. Requirements: Expert experience in simulation software development and systems integration. Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field. Seasoned technical lead for an engineering team; providing guidance in planning and execution. Advanced proficiency in C/C++ and Python. Expert in MATLAB/Simulink and Python. Extensive experience developing real-time HIL test infrastructures. Proven ability to develop simulation tools with a focus on usability, modularity, and performance. Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…) Experience prototyping Graphical User Interfaces based on user feedback. Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies. Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset. Comfortable working in cross-disciplinary teams and mentoring junior engineers. Preferred Qualifications Experience with aerospace, spacecraft, or robotics systems-including modeling of flight dynamics, sensor-actuator loops, or avionics. Proficiency in the NI software suite (LabVIEW, VeriStand). Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles. Understanding of control theory, GNC algorithms, and physics-based modeling. Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation. Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments. Startup or fast-paced development experience is a plus. Experience automating and executing test plans. Familiarity with fault injection methodologies. Familiarity with lab

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

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible. We're seeking a software engineer to help Pinterest build and lead the next generation of stream processing platform and infrastructure. You'll be working on some of the most exciting big data open source technologies (Flink, Kafka, RocksDB, and more), at the scale of tens of millions of messages per second with terabytes of data to help Pinners discover and do what they love. What you'll do: Lead the strategy and technical direction of Pinterest's Streaming platform Improve and customize the internals of open source Flink to meet our challenges at scale and actively participate in open source community Build and scale stream processing frameworks and infrastructure to process millions of messages per second with terabytes of state Work with internal customers on critical business use cases that rely on low latency stream processing Provide thought leadership to the entire company on how real-time data should be processed and stored more reliably, quickly and efficiently at scale Contribute to the team's technical vision and long-term roadmap What we're looking for: 8+years of industry experience with a proven track record of technical excellence 5+ years of experience of building and support large scalable big data infrastructure/platform 4+ years of experiences in contributing to open-source Flink or streaming technologies Deep knowledge of big data technologies (e.g.Flink, Spark, Hadoop, Parquet/ORC, Flink) Experience in leading cross-team engineering efforts Proficiency in one or more programming languages (Java, Scala, Python) Experiences in Kubernetes and AWS technologies BS+ degree in a relevant field such as Computer Science OR equivalent experience In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID #LI-AH2 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$177,185-$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

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

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Principal Software Development Build Engineer in Santa Clara, California . What you'll achieve As a Principal Software Development Build Engineer, you will own and evolve CI/CD pipelines, build automation and release processes for our scale-out storage and data protection platform. You'll drive modernization of build systems, ensure fast/reliable releases and mentor junior engineers while collaborating closely with development, QA and operations. You will: Architect and optimize build/release pipelines for complex, distributed software Lead improvements in CI/CD workflows, automation, and developer productivity Troubleshoot build failures and enforce branching, versioning, and governance standards Integrate test automation and security checks into pipelines Mentor engineers and drive adoption of modern build tools and practices Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 8+ years experience in build/release engineering or DevOps (or equivalent skill) Expertise with CI/CD platforms e.g. Jenkins, GitLab CI, GitHub Actions Proficiency in Python, Bash or Groovy for automation Experience with Git-based SCM, artifact management (Artifactory/Nexus), and containerized builds (Docker/K8s) Desirable Skills: Bachelor's or Master's degree in Computer Science, Engineering or related field Knowledge of modern build systems e.g. Bazel, CMake and cloud CI/CD Compensation Dell is committed to fair and equitable compensation practices. The base salary range for this position is $205,700-$266,200 . Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R283658

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

💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG) 📋 GenAI Healthcare 📍 Hybrid 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 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. 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 RAG, knowledge systems, and AI-native backend architectures. Responsibilities: Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows. 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 Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals. 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. 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. 7+ years of professional software engineering experience, with 2+ years working directly with LLM-based systems in production environments. Hands-on experience designing and deploying RAG architectures Strong proficiency in Python and experience with modern backend stacks 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 Experience with cloud-native architectures and containerized deployments 📧 Interested in applying? Please click on the ‘Easy Apply' button

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: The Quantum Architecture Software Team at PsiQuantumbuilds the core software and data systems that underpin the study and simulation of quantum computer architectures.Quantum architects research and develop architectures for fault-tolerant photonic quantum computers, in particular methods for entanglement generation and error correction.The Quantum Architecture Software Team builds and supports the internal software platforms that enable these efforts-developing andmaintainingsimulation frameworks, data systems, and computational tools used to evaluate and explore architectural concepts. We are seeking aFull-StackPlatformLeadtoown the design, implementation, and evolution of the backend and web systems that underpin the Quantum Architecture (QA) platform. This role blends deep software engineeringexpertisein Python, distributed systems, and web architecture, with the ability to design clean interfaces and build robust, composable infrastructure for scientific and computational workflows. You'llwork directly with physicists, software engineers, and researchers to turn computational ideas into sustainable, high-value software systems that drive the simulation and exploration of quantum architectures. Responsibilities Architect and implement the QA platform's backend services and APIs using modern Python web frameworks (e.g.,FastAPI, Flask, Django, or equivalent), ensuring clean interface boundaries and maintainable abstractions. Design and evolve Python-based pipelines that manage data, computation, and integration with research and simulation systems-focusing on reliability, composability, and debuggability. Develop modular service interfaces for data access, configuration, and workflow orchestration, ensuring alignment between backend systems and frontend or computational clients. Establish infrastructure-as-code foundations using Terraform, managing multi-environment deployments and scaling across AWS services (EC2, S3, EKS, IAM, CloudWatch, etc.). Own schema design, indexing strategies, and performance optimization fordatabasebackends (e.g.,Postgres, MySQL, and MongoDB). Implement distributed caching, task orchestration, and stateful compute components using Redis or Valkeyto support low-latency data and job pipelines. Integrate and manage authentication and authorization layers (OAuth2, OIDC, SSO, IAM roles), ensuring secure, policy-driven service interactions. Define and enforce rigorous SDLC and engineering hygiene-type-checked Python (e.g.,mypy,pydantic), comprehensive testing, CI/CD pipelines, and reproducible environments. Develop internal developer tooling and interfaces (CLI utilities, REST/gRPCendpoints, Python client libraries) to enable high-velocity platform development. Lead API versioning, schema evolution, and documentation standards across backend systems. Design, implement, andmaintainboth backend and frontend components of the QA platform-owning the full stack from UIto Python APIs and data layers, ensuring clean, well-specified, and performant interfaces across the system. Implement observability frameworks-structured logging, metrics, and distributed tracing-to ensure operational insight and performance analysis across services. Mentor engineers in platform design, Python performance optimization, and large-scale system composition. Experience/Qualifications (list experience and qualifications needed for the position) 8+ years of professional software engineering experience, with extensive backend and platform designexpertise. Expertproficiencyin Python, including asynchronous programming, typing, dependency management, packaging, and performance profiling. Hands-on experience with modern web frameworks (FastAPI, Flask, Django) and Python-based interface patterns (pydanticmodels, dependency injection, API schemas). Deep familiarity with pipeline design patterns-task orchestration, async workflows, and dataflow systems-built in Python or hybrid stacks. Strong command of AWS services (EC2, EKS, S3, IAM, CloudWatch, Lambda) and infrastructure automation via Terraform. Proficiencywith databases (Postgres, MySQL, MongoDB), schema design, migrations, and query optimization. Experience designing andmaintainingcaching andstatesystems (Redis,Valkey) for scalable backend workloads. Deep understanding of auth(c/z), secrets management, and service-to-service identity mechanisms. Strong SDLC discipline-CI/CD (GitLab, GitHub Actions), static analysis, code review automation, and test-driven development. Experience designing internal APIs, Python client SDKs, and developer-facing tools with strong focus on usability and maintainability. Working knowledge of frontend integration (React, TypeScript) and REST/gRPCcontract management. Operational familiarity with observability and profiling tools (Prometheus, Grafana,OpenTelemetry,cProfile,py-spy, Perf). Ability to design for long-term maintainability-balancing low-level optimization with clean architectural separation and stable interfaces. Familiarity with HPC environments and Slurm-based job orchestrationis preferred Experience in scientific computing, simulation, or high-performance data environmentsis preferred 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 $190,000-$215,000 USDBay Area Pay Range $220,000-$245,000 USD

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Principal Software Development Build Engineer in Santa Clara, California . What you'll achieve As a Principal Software Development Build Engineer, you will own and evolve CI/CD pipelines, build automation and release processes for our scale-out storage and data protection platform. You'll drive modernization of build systems, ensure fast/reliable releases and mentor junior engineers while collaborating closely with development, QA and operations. You will: Architect and optimize build/release pipelines for complex, distributed software Lead improvements in CI/CD workflows, automation, and developer productivity Troubleshoot build failures and enforce branching, versioning, and governance standards Integrate test automation and security checks into pipelines Mentor engineers and drive adoption of modern build tools and practices Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 8+ years experience in build/release engineering or DevOps (or equivalent skill) Expertise with CI/CD platforms e.g. Jenkins, GitLab CI, GitHub Actions Proficiency in Python, Bash or Groovy for automation Experience with Git-based SCM, artifact management (Artifactory/Nexus), and containerized builds (Docker/K8s) Desirable Skills: Bachelor's or Master's degree in Computer Science, Engineering or related field Knowledge of modern build systems e.g. Bazel, CMake and cloud CI/CD Compensation Dell is committed to fair and equitable compensation practices. The base salary range for this position is $205,700-$266,200 . Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R283658

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

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: Staff Software Engineer, Network Services joins the Quantum Operating Systems Software team to design and build the network infrastructure and services that connect PsiQuantum's photonic quantum computers. Architect and implement high-speed, low-latency, data center-scale network fabrics. Develop and maintain distributed network services software supporting quantum systems. Participate in design/code reviews and cross-team collaboration across hardware, software, and research. Responsibilities: Develop and implement network services of needed to support photonic quantum computers. Design and architecture of high speed and low latency data center-scale network fabrics. Participate in design and code reviews. Collaborate across software, hardware, and research teams at PsiQuantum. Testing and maintenance of network services software. Champion and serve as an exemplar of good software development practices at PsiQuantum. Experience/Qualifications: 10+ years in Rust, Python, or C++ for systems programming. Background in distributed systems for HPC, robotics, AI, semiconductor, or quantum environments. Proven record of building reliable, high-performance, mission-critical software. Master's degree (preferred) or equivalent experience. 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 $195,000-$215,000 USDBay Area Pay Range $215,000-$245,000 USD