Design and build machine-learning-driven robotic systems that operate in the real world, support portfolio company growth, influence product and technical direction, and advance company and career outcomes.
To further our commitment to driving the growth of S32's portfolio companies, we are looking for ML Robotics Systems Engineers who are passionate about building intelligent, embodied systems that can operate in the real world.
If you are excited about making a significant impact, shaping a company's direction, and advancing your career, we would love to connect and discuss potential opportunities.
About us: S32 is a venture capital firm investing at the frontiers of technology. Founded by Bill Maris, the team has vast experience building iconic companies. Our goal is to accelerate the discovery, development, and distribution of revolutionary technologies that improve the human condition. We invest across the entirety of technology, including artificial intelligence, robotics, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.
The base pay range for this role is $150,000 – $300,000 per year.
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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)
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- 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
