Senior Software Engineer - Compute
Lambda is hiring a Senior Software Engineer - Compute. It pays $266k-$395k a year and Level rates it ; you can apply on Lambda.
Level's read on this job
- On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
- The listed pay starts 59% above the typical software engineer posting on Level.
- The posting allows some remote work.
- Tools and skills the posting cites include Go, Python and Linux.
- Level lists 96 other open roles at Lambda.
AI in this role
Develop and scale high-performance GPU-first cloud infrastructure and orchestration services to support massive AI workloads.
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.
You
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.
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, 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
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, or any other factors prohibited by local, state, or federal law.
How we rate this
Senior Software Engineer - Compute at Lambda rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $266k
- Typical software engineer job
- $167k
This posting starts 59% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where virtualization was part of your work. What did you do?
- Tell me about a project where bare metal was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where compute orchestration was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Virtualization, Bare Metal, Cloud Infrastructure, and Compute Orchestration. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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