Build and validate autonomy software for outdoor construction robots. Responsibilities include developing ROS 2 software, working on perception, mapping, localization, manipulation, simulation, and testing, creating automated regression tests with Isaac Sim, conducting field tests, analyzing failures, and building evaluation tools. The intern will collaborate with autonomy, mechanical, electrical, and firmware teams during robot integration and field testing.
About Strata
Who We're Looking For
Key Responsibilities
What You Bring
Heavy infrastructure cannot be built fast enough to fulfill the promises of reindustrialization. With labor availability tightening and the workforce aging, construction faces a multi-trillion-dollar execution gap over the next decade. We’re building a construction robotics platform designed for outdoor environments, heavy payloads, and immediate deployment. We’re partnering with the largest heavy construction firms to put robots on sites for material handling now, building hardware, data, and commercial moats to bring end-to-end autonomy to construction. Robots are folding clothes and washing dishes, while dangerous and heavy work in remote environments remain manual. Furthermore, construction firms cannot physically fulfill their contracts — they should not have to choose between building a hospital or a data center. Join us to build a robotics platform that delivers real value immediately, saving lives and bringing abundance to construction. Backed by a $5.2 million seed round led by Founders Fund, the team is developing robots for outdoor, high-payload job site work with a focus on immediate deployment and autonomy that delivers value immediately. We’re partnering with the largest heavy construction firms to put robots on sites to handle material now, building hardware, data, and commercial moats to bring end-to-end autonomy to construction.
We're looking for an Autonomy Engineering Intern to help build and validate the autonomy stack for our construction robots. This is a hands-on role. You'll write robotics software, test it on real hardware, and help build the tools and processes that make autonomy reliable in tough field environments. Your work will span the autonomy stack, and where you spend most of your time will depend on team needs and your interests and experience.
- Develop, integrate, and test ROS 2 autonomy software on real robots.
- Work on areas such as perception, mapping, localization, manipulation, simulation, and testing infrastructure.
- Help build automated regression tests using NVIDIA Isaac Sim and real-world data to catch failures as the stack evolves.
- Design and run field tests, including scenarios, metrics, and success criteria.
- Analyze failures using logs and field data, find root causes, and iterate.
- Help build tools and evaluation pipelines that make development and testing more repeatable.
- Work closely with autonomy, mechanical, electrical, and firmware engineers during bring-up, integration, and field testing.
- Pursuing a BS or MS in Robotics, Computer Science, Mechanical Engineering, or a related field.
- Strong programming experience in C++ and/or Python.
- Experience with ROS or ROS 2 and familiarity with core robotics concepts.
- Hands-on experience with real-world autonomous robots through research, internships, personal projects, or student teams.
- Comfortable working in Linux and debugging ROS-based systems on real robots.
- Familiarity with Isaac Sim, Foxglove, Docker, CI/CD, or automated testing infrastructure is a plus.
- Experience with LiDAR, SLAM, or GNSS/RTK localization is a plus.
- Experience in build-focused teams such as autonomous vehicles, Formula SAE, RoboCup, rocketry, or similar is strongly preferred.
CompensationThe base pay range for this role is $5,000 – $6,000 per month.
Similar Jobs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Provides remote technical customer support for Xtime and Cox Automotive products through phone, email, and chat. Resolves routine product and application issues, documents cases in CRM systems, trains and coaches customers, coordinates with internal teams, and follows up through resolution while meeting quality standards.
Top Skills:
Cox Automotive SuiteCRMGenesys PurecloudSalesforceXtime
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads complex, cross-functional transformation portfolios across Product, GTM, Strategy, and Operations. Owns program outcomes, operating models, governance, prioritization, dependencies, risks, metrics, and executive communications. Establishes planning frameworks, manages multi-quarter initiatives, aligns stakeholders, and drives measurable business outcomes through structured problem-solving and portfolio execution.
Top Skills:
Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and scale machine learning algorithms, models, infrastructure, and data pipelines supporting AI features across Atlassian products. Responsibilities include designing model and system architectures, conducting experimentation and evaluations, collaborating with product, engineering, and analytics teams, building production-quality solutions using large datasets, and mentoring junior ML engineers.
Top Skills:
SparkAWSDatabricksDeep LearningJavaLarge Language Models (Llms)Machine LearningPythonSQL
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
