Software Engineer - Compute

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
• 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
• support the company’s continued growth by making the right engineering workflows easier, faster
• 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.
• You 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.
• 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.
• 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.
• About Lambda Founded in 2012, with 500+ employees
• 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
• Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH
• TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental
• 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 Equal Opportunity Employer 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
• any other factors prohibited by local, state