The Systems Engineering Intern will design tools integrating mechanical, electrical, and software components, ensuring system-level validation and documentation while gaining hands-on experience in robotics.
About Dexterity
At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world.
Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we’re customer-obsessed?
Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible?Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures.
We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality!
About the Role
As a Systems Engineering Intern, you will engage in multidisciplinary work spanning mechanical design, software, and electronics. This role provides hands-on experience with CAD modeling, basic programming, circuit integration, and system-level validation within a fast-paced robotics development environment. You will support the translation of product and engineering requirements into functional, testable subsystems, gaining exposure to the full product lifecycle, from early prototyping through to deployment. The ideal candidate is self-driven, curious, and enthusiastic about learning across domains and contributing to real-world engineering challenges.
Responsibilities
- Design and develop a robust tool involving mechanical, electrical, and software components, taking full ownership from concept to prototype
- Maintain comprehensive technical documentation including BOMs, wiring diagrams, test plans, and validation reports to facilitate reproducibility and compliance
- Help clean up and organize engineering requirements within Jira, ensuring clear traceability between product specifications, system requirements, and validation tests
- Define and document new system requirements based on evolving product needs, ensuring alignment with engineering feasibility and test coverage
- Support additional Verification & Validation (V&V) activities, including the creation of test plans and test cases in TestRail, as well as executing and documenting test results
Qualifications
- Currently pursuing a BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Computer Science, Mechatronics, or a related technical discipline
- Proficient in at least one CAD software package (e.g., NX, SolidWorks)
- Experience with coding, preferably in Python or C++
- Exposure to industrial automation technologies such as PLCs, sensors, drives, and conveyors
- Solid understanding of fundamental electronics concepts including voltage, current, sensors, and PCB basics
- Demonstrated curiosity and willingness to ask questions, take initiative, and rapidly acquire new technical skills
- Strong attention to detail with good documentation practices
- Effective teamwork and communication abilities
- Familiarity with Linux environments, including basic command-line usage, file system navigation, and log analysis
- Experience using version control systems such as Git and GitHub
- Basic knowledge of systems engineering concepts, including interfaces, failure modes, and system integration
- Hands-on experience with personal projects involving robotics
- Ability to thrive in fast-paced, ambiguous environments requiring strong analytical and problem-solving skills
- Aptitude for understanding and working with complex technical products
Equal Opportunity Employer
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
C++
Cad Software
Git
Git
Linux
Python
Dexterity Downtown Redwood City, California, USA Office
1205 Veterans Blvd, Downtown Redwood City, CA, United States, 94063
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Associate, you will lead AI/ML projects, conduct model validation, mentor teammates, and align technology with business strategies.
Top Skills:
MlopsPythonPyTorchTensorFlow
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves leading Guidewire testing efforts, managing teams, and ensuring high-quality project execution. Responsibilities include mentoring, process refinement, and client engagement.
Top Skills:
GuidewireRenorexSelenium
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The AI & GenAI Data Scientist - Director role involves leading analytics teams, managing AI solutions, and driving strategic growth for clients through data insights.
Top Skills:
AWSAzureGitGCPKerasLangchainNltkNoSQLPandasPythonScikit-LearnSemantic KernelSQL
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
