Staff Engineer, AI Inference & Distributed Systems

Sail Research; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Free meals

Studio Display at desk

Friendly office environment with a cat

Job summary

Sail Research in San Francisco is seeking a talented engineer to design and implement robust systems that ensure fast and cost-efficient AI inference at global scale. You will be responsible for building high-performance schedulers and optimizing global routing while focusing on deep observability of our systems.

The ideal candidate has a strong background in distributed systems and is eager to engage in complex challenges. Enjoy a vibrant work environment with excellent meals and a collaborative team atmosphere.

Qualifications

• Strong distributed systems fundamentals in concurrency and networking.
• Eager to work with agents, focusing on correctness and edge cases.
• Bonus: experience with ML inference stacks and GPUs.

Responsibilities

• Design and implement high-performance schedulers.
• Build global routing and traffic management.
• Create deep observability systems for failure tracing.

Skills

Distributed systems fundamentals

Concurrency

Networking

Databases

Performance engineering

Experience with ML inference stacks

Job description

Sail Research in San Francisco is seeking a talented engineer to design and implement robust systems that ensure fast and cost-efficient AI inference at global scale. You will be responsible for building high-performance schedulers and optimizing global routing while focusing on deep observability of our systems.

The ideal candidate has a strong background in distributed systems and is eager to engage in complex challenges. Enjoy a vibrant work environment with excellent meals and a collaborative team atmosphere.