AI Infrastructure Architect
3 weeks ago
About Recruiting from Scratch
We are a talent firm focused on placing the best candidates for our clients. Our team is 100% remote and works with teams across North America, South America, and Europe to help them hire.
Our company is looking for a Senior ML Infrastructure Engineer to join our team in San Francisco, CA. As a Senior ML Infrastructure Engineer, you will be responsible for architecting and implementing large-scale, fault-tolerant systems.
The Role: We are seeking an experienced engineer to design and implement distributed systems for our inference network. You will work with our founders and engineering teams to drive architectural decisions and best practices.
What You'll Do:
- Design and implement distributed systems for our inference network
- Develop resource allocation models across heterogeneous hardware
- Optimize network performance metrics (latency, throughput, availability)
- Build robust monitoring and observability systems
- Drive architectural decisions and best practices
- Collaborate directly with founders and engineering teams
What You Bring:
- 5+ years building high-performance, scalable distributed systems
- Strong programming skills in TypeScript, Python, and either Go, Rust, or C++
- Experience with Kubernetes/Nomad orchestration
- Hands-on experience with AI tooling (ChatGPT, Claude, Cursor)
- GPU programming and optimization skills (CUDA experience is a plus)
- Startup experience (pre-seed to series A)
Location & Details:
- San Francisco, CA (In-person)
- Full-time W-2 position
- $180K - $300K + Equity (0.1-3%) | Visa Sponsorship Available
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