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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 com…
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Epsilon Labs, Inc.San Francisco, California, United States · On-site
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San Francisco, California, United States · Hybrid
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About Omni Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni …
Skills: Performance Marketing, Paid Acquisition, Digital Advertising, Data Analysis, Google Ads
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Design, develop, and maintain software for GPU/CPU compute infrastructure with a focus on performance, scalability, and reliability. Implement services for bare-metal and VM instancing while managing distributed systems for compute resource orchestration.
Requires 3+ years of experience with Go or Python in production environments and 3+ years of experience with bare metal and virtualization hardware management. Candidates must be comfortable working in Linux environments and possess strong troubleshooting skills for complex systems.
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.
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, and contribute to and evolve the internal platform tooling, and workflows. 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.
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.
What You’ll Do
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:
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.
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.
Are 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.
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.
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.
Founded in 2012, with 500+ employees, and growing fast
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
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
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 that we all actually use
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.
The Superintelligence Cloud
The Superintelligence Cloud
Offices: 45 Fremont St, San Francisco, California 94105, US · 2510 Zanker Rd, San Jose, California 95131, US
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