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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 and 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!
Responsibilities
- Develop functional, stress and performance test cases, execute those on robotic systems in a production-like setting and document observed issues after doing the triage
- Work closely with product, development, test and customer support teams to ensure the comprehensive test coverage and the observed issues resolution
- Adhere to ongoing hardware and software product quality improvement efforts based on various real-time metrics
- Assist customer support team to debug and resolve customer reported problems (software/ electro/ mechanical) and enhance future test coverage
- Help improve the overall human-robot interaction experience adhering to the safety standards and engineering best practices
Qualifications
- BS or higher in an engineering discipline related to robotics (CS/EE/ME etc.)
- 3+ year of experience working as Software Quality Assurance Engineer
- Experience in developing test cases and testing of distributed/embedded systems
- Strong sense of ownership, customer focus and debugging skills
- Ability to travel and work at customer sites in some situations (<10%)
- Organizational skills to track multiple simultaneous release test cycles and correlate test results
Why Join Dexterity
- Work on real robotic systems deployed in live environments
- Collaborate with world-class robotics and AI engineers
- Be part of a mission-driven team shaping the future of automation
- Competitive compensation, equity, and comprehensive benefits
Equal Opportunity
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Dexterity Palo Alto, California, USA Office
Palo Alto, CA, United States
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
