Three-month System Software Internship focused on developing and optimizing Jenkins and GitLab CI/CD pipelines, Groovy shared libraries, build automation, regression testing, and hardware-in-the-loop infrastructure. Responsibilities include managing Jenkins agents and Docker environments, improving pipeline reliability, migrating pipelines, building monitoring dashboards, troubleshooting embedded and application software builds, and documenting operational practices while collaborating with hardware, firmware, and software teams.
About Lyte
Lyte builds perception systems for Physical AI operating in complex environments. The company combines custom silicon, integrated sensors, and software into a unified platform for robotics, mobility, and next-generation automation. Lyte is headquartered in Sunnyvale, California, with a global presence. For more information, visit www.lyte.ai
If you’re excited about building impactful technology in a dynamic, hands-on environment, we’d love to hear from you!
About the role
- We are seeking a System Software Intern for a three-month internship to support the development and optimization of Lyte’s build infrastructure, CI/CD pipelines, and production automation. This is a hands-on DevOps-focused role where you will work directly with our Jenkins and GitLab pipeline infrastructure, build automation tooling, and help streamline the development and deployment workflows used by our hardware, firmware, and software teams. You will work alongside experienced engineers on real production challenges and have the opportunity to see your work directly improve engineering efficiency and velocity across the company.
What you'll do
- Develop and maintain CI/CD pipelines in Jenkins (Groovy-based declarative and scripted pipelines) and GitLab CI
- Write and refactor Jenkins shared libraries in Groovy to standardize build, test, and release stages across projects
- Build and maintain automation for software builds, regression testing, and hardware-in-the-loop test stations using Python and Bash
- Manage and improve build/test infrastructure: Jenkins agents, Docker-based build environments, artifact management, and pipeline reliability
- Help migrate and consolidate pipelines between Jenkins and GitLab CI, improving speed, caching, and maintainability
- Develop monitoring, logging, and pipeline-health dashboards to improve visibility into build and test infrastructure
- Troubleshoot build failures, flaky tests, and environment issues across embedded (PetaLinux/FPGA) and application software targets
- Document pipeline architecture, deployment procedures, and operational best practices
- Collaborate with hardware, firmware, and software teams in a fast-paced, distributed environment
Required Qualifications
- Currently pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- Proficiency in Python and/or Bash scripting
- Working knowledge of Linux/Unix environments and command-line tools
- Familiarity with Git and standard version-control workflows (branching, merge requests, code review)
- Basic understanding of CI/CD concepts (build, test, artifact, deploy stages)
- Hands-on exposure to Jenkins (pipelines, Groovy, shared libraries) and/or GitLab CI/CD
- Experience with Groovy or willingness to learn it for Jenkins pipeline development
- Strong problem-solving skills, intellectual curiosity, and the ability to pick up new tools quickly
Preferred Qualifications
- Experience with Docker containers for reproducible build/test environments
- Exposure to embedded Linux (Yocto/PetaLinux) or cross-compilation toolchains
- Knowledge of monitoring/observability stacks (Prometheus, Grafana, ELK)
- Personal, open-source, or coursework projects involving automation or infrastructure
Benefits (subject to location and local regulations)
- Competitive salary and equity
- Comprehensive medical, dental, and vision coverage
- 401(k) retirement plan
- Flexible vacation and time-off policy
- Collaborative, fast-paced, and inclusive work environment
- Opportunity to work on cutting-edge technologies with a highly cross-functional team
Lyte San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Software Engineering Interns will work on front-end, back-end, full-stack, security, or mobile projects. Responsibilities include scoping, designing, implementing, and shipping end-to-end features, collaborating with mentors and engineering teams, iterating quickly, and gaining experience with APIs, frameworks, coding agents, and programming languages while building products for millions of users.
Top Skills:
APIsC#FrameworksGoJavaJavaScriptPythonTypescript
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Develop and maintain enterprise platforms, infrastructure, deployment pipelines, security monitoring, and quality monitoring. Build automation for infrastructure provisioning, configuration management, code packaging, deployment, and continuous integration and delivery across public and private clouds. Document procedures and test plans, monitor system performance, support secure engineering practices, and collaborate with delivery and operations teams to improve software quality and throughput. Use AI tools to enhance development, testing, and automation.
Top Skills:
AgileAi ToolsAWSBuild ToolsConfiguration Management ToolsContainersContinuous DeliveryContinuous IntegrationDatabasesDeployment ToolsHigh-Level Programming LanguagesInfrastructure ProvisioningKanbanLinuxOrchestration ToolsPublic CloudScrumSource Control ToolsWindows
Artificial Intelligence • Cloud • Software
Work with Vercel’s engineering team on end-to-end projects, including scoping, building, shipping, reviewing production code, debugging systems, and communicating progress. Interns will be mentored by experienced engineers and contribute to products used by customers. The role requires strong JavaScript or TypeScript skills, familiarity with AI tooling, independent problem-solving, written communication, and commuting to Vercel’s San Francisco office three days weekly.
Top Skills:
Ai ToolingGoJavaScriptRustTypescript
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
