Software Engineer - Platform

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Lambda is looking for candidates to join our Platform Engineering team. As a Software Engineer on the Fleet Foundations team, you will contribute to building and maintaining production frameworks that manage GPU host lifecycle and machine management at scale. Your work will enable efficient and reliable operations for Lambda’s infrastructure, ensuring that our systems are scalable, automated, and resilient.

We understand that infrastructure engineering is most successful when it is deeply integrated with the needs of the business, and we work closely with teams across Lambda to develop solutions that align with both operational and company objectives.

As a team responsible for core infrastructure services, you will work across a wide range of technologies, including configuration management, machine lifecycle automation, and system provisioning. While we don’t expect you to be an expert in every area, we do expect you to learn, collaborate, and contribute effectively. If you find our work interesting and your experience aligns with even some of these responsibilities, we encourage you to apply.

What You’ll Do

• Develop and Maintain Production Systems : Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale.

• Automate Infrastructure : Build and enhance automation frameworks for machine provisioning, configuration management, and deployment.

• Manage Configuration at Scale : Develop and optimize configuration management systems to ensure consistency, reliability, and efficiency in managing large-scale infrastructure.

• Enhance Machine Lifecycle Processes : Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring.

• Collaborate Across Teams : Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions.

You

• Have 2+ years of experience working with Golang or Python in production environments.

• Have 2+ years of experience with configuration management tools and practices.

• Are familiar with Linux operating systems and comfortable working in a Linux-based environment.

Nice to Have

• Experience working with Golang (preferred) in infrastructure or backend development.

• Hands-on experience with configuration management in the context of bare metal lifecycle management .

• Experience building Linux distributions and managing OS-level customization.

• Familiarity with Ansible for system configuration and automation.

• Exposure to Kubernetes and container orchestration concepts.

If you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.

Salary Range Information

Based on market data and other factors, the annual salary range for this position is $160,000-$230,000. 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, ~350 employees (2024) and growing fast

• We offer generous cash & equity compensation

• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

• Health, dental, and vision coverage for you and your dependents

• Commuter/Work from home stipends for select roles

• 401k Plan with 2% company match (USA employees)

• Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

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.