Senior Systems Engineer - Enterprise AI Platforms
Lambda Labs · San Francisco Office (Fremont St) · San Jose Office (First St) · San Francisco Office (Second St)
CHECKED 2H AGO
Infrastructureremote$206k–$275k
At a glance
Highlights
- Build and scale internal systems powering Lambda's AI cloud business.
- Automate mission-critical services to prevent problem recurrence.
- Drive capacity planning and tuning for large-scale distributed systems.
What they offer
- Generous cash & equity compensation
- Health, dental, and vision coverage for you and dependents
- Wellness and commuter stipends for select roles
- 401k plan with 2% company match (USA)
- Flexible paid time off plan
Ideal candidate
Systems thinker who loves fixing broken things fast and automating away toil. Collaborative documenter eager to improve reliability of internal platforms powering an AI cloud.
Requirements
- Keen interest in system design, architecting for performance and scalability, and experience with multiple cloud infrastructure platforms
- Think carefully about systems: edge cases, failure modes, behaviors, and specific implementations
- Know and prefer configuration management systems and toolchains
- Have solid programming skills
- Urge to collaborate and communicate asynchronously with desire to document issues and solutions
- Enthusiastic, go-for-it attitude; fix what is broken
- Urge for delivering quickly and effectively, and iterating fast
- remote policy
- 4 days in office per week, work from home on Tuesdays
Lab profile
About Lambda Labs
The Superintelligence Cloud delivering GPU compute infrastructure for AI researchers and enterprises.
What they build
- GPU cloud infrastructure
- On-demand GPU instances
- Managed Kubernetes for AI workloads
Known for
- AI cloud infrastructure at scale
- HPC platform and hardware engineering
- Data center operations and networking
Key facts
- Serves tens of thousands of customers
- Offices in San Francisco, San Jose and Bellevue
- Data center in Quebec City, Canada