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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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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