MP
Staff + Sr. Software Engineer, Cloud Inference Launch Engineering
Menlo Ventures PortfolioSan Francisco, CA · full time · Senior
$320,000 – $485,000
Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role builds and validates the infrastructure that runs Claude across multiple cloud platforms, ensuring models launch reliably and perform consistently everywhere. It suits senior engineers experienced in large-scale distributed systems who want to work on high-leverage infrastructure that directly gates how fast frontier AI ships to production.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Strong background in high-performance, large-scale distributed systems at scale
- Significant software engineering experience
- Track record building automation or test infrastructure that improved release velocity or reliability
- Experience building or operating services on AWS, GCP, or Azure with exposure to Kubernetes or container orchestration
- Fast learner who can ramp on new technologies and hardware platforms quickly
- Autonomous ownership of end-to-end problems
Nice to have
- LLM inference optimization, batching, and caching strategies
- Capacity-constrained scheduling or shared-resource test infrastructure
- Understanding of multi-region deployments, request routing, and load balancing
- Experience working with cloud service provider partner teams
- Proficiency in Python or Rust