Lambda
Software Engineer - Compute
San Francisco Office (Fremont St)
Sponsorship not specifiedDetected 1 day ago
PythonGoDistributed SystemsCloud PlatformsKubernetesLinuxTemporalMachine LearningEmbedded SystemsResearchCollaboration
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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- 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.
- Salary Range Information The annual salary range for this position has been set based on market data and other factors.
- However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
Responsibilities
- 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.
- Collaboration across multiple teams and drive ambiguity in requirements or solutions on RFC's.
- The position works closely with various engineering teams across the company and contributes directly to Lambda's ability to scale engineering productivity, maintain high delivery velocity, and support the company's continued growth by making the right engineering workflows easier, faster, and more reliable.
- 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
Requirements
- 3+ years of experience working with Go (Golang) or Python in production environments.
- 3+ years of experience with bare metal & virtualization hardware management and configuration.
Nice to have
- Familiarity with GPU Infrastructure or high-performance computing environments.
- Experience with Slurm or Kubernetes-based cluster management.
- Experience with durable execution platforms like Temporal.
- 401k Plan with 2% company match (USA employees)
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
Compensation
- The annual salary range for this position has been set based on market data and other factors.
- However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
- We offer generous cash & equity compensation
Benefits
- Develop and integrate workflows for compute instance lifecycle, system health, host and cluster validation, and contribute to and evolve the internal platform tooling, and workflows.
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- Flexible paid time off plan that we all actually use
Company info
- 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.
- We are seeking a Software Engineer with good experience in backbone infrastructure that build, scale and optimize GPU-first cloud infrastructure that enables High Performance Computing and demanding AI workloads. In this role you will be responsible for:
- As part of the Compute Engineering team, this position focuses on improving the bare-metal and VM developer and customer experiences, streamlining the software delivery lifecycle, building, testing, and shipping software efficiently and reliably.
- We are seeking a Software Engineer with good experience in backbone infrastructure that build, scale and optimize GPU-first cloud infrastructure that enables High Performance Computing and demanding AI workloads.
Equal opportunity
- 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.
- Equal Opportunity Employer
Visa & Work Authorization
- ational 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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.