Senior Software Engineer - Compute
Primary stack
Nice to have's
Job description
About the Position
Senior Software Engineer - Compute
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Responsibilities
The Compute Software Engineering role plays a key part in the foundation of both the Public and Private Cloud offerings by enabling Bare-Metal and Virtual Machine provisioning. In this role you will:
- Develop and integrate workflows for compute instance lifecycle, system health, host and cluster validation.
- Contribute to and evolve the internal platform tooling and workflows.
- Design, develop and maintain software for GPU/CPU compute infrastructure with focus on performance, scalability, and reliability.
- Implement and develop services for baremetal and VM instancing.
- Develop distributed systems for managing and orchestrating compute resources across various SKU’s.
- Troubleshoot and debug complex issues in a production and development environment.
- On-call and incident ownership.
- Collaboration across multiple teams and drive ambiguity in requirements or solutions on RFC’s.
Requirements
- 5+ years of experience working with Go (Golang) or Python in production environments.
- 5+ years of experience with bare metal & virtualization hardware management and configuration.
- Comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers.
- Can independently troubleshoot complex systems and communicate effectively across software, infrastructure, and vendor teams.
Nice to Have
- Familiarity with GPU Infrastructure or high-performance computing environments.
- Experience with Slurm or Kubernetes-based cluster management.
- Experience with core public cloud internals (Virtualization, KVM, QEMU, Security and Fleet health).
- Experience with durable execution platforms like Temporal.
We Offer
- Competitive salary range: $266K – $395K per year.
- Health, dental, and vision coverage for you and your dependents.
- Wellness and commuter stipends for select roles.
- 401k Plan with 2% company match (USA employees).
- Flexible paid time off plan.
About the Company
Founded in 2012, with 500+ employees, and growing fast, Lambda has research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG. Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove.
Our values are publicly available: Lambda Careers
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
© Lambda. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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