Senior Infrastructure Engineer for Large-Scale AI Training Systems
AimHire is seeking a Senior Infrastructure Engineer with 6+ years of experience in scaling large systems at hyperscale startups. The ideal candidate will have expertise in Nomad, HashiCorp, and Kubernetes, and a strong appreciation for AI research and infrastructure. This is a rare opportunity to own critical systems at the frontier of AI.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Senior Infrastructure Engineer
📍 San Francisco, CA (On-site) | 💼 Full-time | Visa Sponsorship Available
About the Role
Our client is looking for a Senior Infrastructure Engineer with 6+ years of experience scaling large, reliable systems at startups that have grown to hyperscale. The ideal candidate is deeply technical, high-agency, and thrives in fast-moving environments. You’ll build and maintain auto-scaling infrastructure for RL training systems, working closely with AI researchers to ensure reliability and performance.
If you have hands-on expertise with Nomad, HashiCorp, or Kubernetes, and a strong appreciation for AI research and infrastructure, this is a rare opportunity to own critical systems at the frontier of AI.
Bonus points if you’ve worked with code sandboxes, function execution in the cloud, or provisioning compute for large-scale training runs.
What You’ll Do
- Build and maintain auto-scaling infrastructure underpinning RL training systems for major hyperscalers.
- Own and drive scalability/reliability of critical infrastructure components.
- Partner with AI researchers and engineers to align infra with research needs.
- Design and implement systems for large-scale training runs.
- Mentor junior engineers and bring your experience (“battle scars”) to operationalize the stack.
What We’re Looking For
- 6+ years of experience scaling large, reliable systems.
- Proven background in startups at hyperscale growth.
- Strong skills with Nomad, HashiCorp, Kubernetes.
- Comfort building auto-scaling infra for RL training systems.
- Deep technical expertise, fast execution, and ability to delegate to fleets of coding agents.
- Appreciation for AI research and low-level infra.
- Bonus: experience with code sandboxes, function execution in the cloud, or provisioning compute for large-scale runs.
About Our Client
Our client partners with frontier labs, hyperscalers, and enterprises to develop and deploy the next generation of embodied agents. They see creating evals and environments—codifying human goals for agents—as the highest-leverage human activity on the road to ASI.
- 📈 Raised $14.5M from BCV, Sequoia Capital, Menlo Ventures, and SV Angel
- 🚀 Experiencing rapid growth, having surpassed revenue benchmarks
- 🌍 Mission: Build the core infrastructure to unlock double-digit economic growth with computer-use agents
- 👥 Team size: 8
- 📅 Founded: 2023
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