Senior Software Engineer
About the role
We are working closely with an AI startup on a mission most AI companies aren't even attempting: building an AI engineer for the physical world.
While most AI is writing code and generating text, this company is teaching AI to reason about heat, power, structure, and space — and to design real hardware systems alongside human engineering teams. Think data centers, automotive, aerospace and defense. The physics. The thermodynamics. The parts that actually have to fit together.
Their product is an agentic AI engineer with quantitative intuition over the design space and the ability to use the same complex engineering tools human teammates use. It's already completing end-to-end engineering workflows in a fraction of the time required by human engineers.
The role:
Build the agentic systems, tool integrations, custom models, and infrastructure that power their AI engineer
Work with agentic harnesses and structured design representations
Contribute to a deep competitive moat built on proprietary data and domain-specific model training
The bar is exceptionally high. They're looking for engineers with genuine intellectual curiosity, strong fundamentals, and ideally, you're someone who doesn't just build at work, whether it's side projects, open-source contributions, or experimenting with new AI frameworks in your own time, you have a genuine curiosity that extends beyond the day job.
They care about first-principles thinking, the ability to run rigorous evaluations, and engineers who are motivated by the ambition of what they're building: putting an AI engineer on every engineering team at every industrial company on earth.
If you want to change how the physical world is designed by helping build the world's first engineering super intelligence, apply now.
Responsibilities
- Build the agentic systems, tool integrations, custom models, and infrastructure that power their AI engineer
- Work with agentic harnesses and structured design representations
- Contribute to a deep competitive moat built on proprietary data and domain-specific model training
Qualifications
- Strong fundamentals in software engineering
- Genuine intellectual curiosity
- Experience with AI frameworks and engineering tools
Skills mentioned
About Harrison Clarke
Harrison Clarke is the search and venture firm that builds engineering teams at VC-backed startups across three disciplines: infrastructure, software engineering, and artificial intelligence. We partner with tier-1 venture capital firms including Sequoia, Sutter Hill Ventures, Menlo Ventures, Greylock, and NEA (amongst others) to place top talent into their portfolio companies as they grow from pre-seed stage through to pre-IPO. Hiring is the foundation of what we do, but it's one part of a broader ecosystem we've built around the founders we work with. We invest into the startups we partner with through Harrison Clarke Ventures. We connect founders with senior technical advisors through our VC network. We produce Inside the Silicon Mind, a podcast featuring the founders and investors shaping the future of technology. And we host curated dinners that bring founders together with engineering leaders, design partners, and potential customers. A founder comes to us for hiring, meets an advisor through our network, gets in front of enterprise buyers at a dinner, and tells their story on the podcast. The companies we believe in most, we invest in.