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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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
