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.
About the Job
Join our team as a Senior IT Engineer for Internal Tools, where you will collaborate with a high-performing team to build, integrate, and monitor our internal tooling infrastructure. Your output will directly power integrations between internal services, data sources, and SaaS tools and services to help Lambda develop efficient and automated business processes, as well as make our data and decision making more reliable. This position will report directly to the IT Engineering manager.
What You’ll Do
- Internal Tools Development: Design, build, and maintain scalable, robust, and efficient internal tools that accelerate Lambda’s business processes.
- Support Business Teams: Use your familiarity with internal and external API’s and software engineering to support stakeholder requests and design and improve internal systems
- System Architecture: You’ll work with product engineers and system admins to design, document, and build flows between systems and infrastructure. You will also be a technical subject matter expert and recommend improvements to our internal technology stack
- Quality & Reliability: Ensure the accuracy and consistency of data across multiple systems, performing regular data quality assessments. Implement testing, CICD and IT General Controls to ensure security and reliability of data flows.
- Collaboration: Work closely with business leaders, analysts, and other stakeholders to understand requirements and deliver appropriate solutions. This will include participating early in product-design discussions, and staying involved with teams across the company.
- Automation & Optimization: Automate manual processes and continuously optimize systems for performance, cost efficiency, and scalability.
- Technology Evaluation: Stay up-to-date with the latest industry trends, tools, and technologies to improve data engineering practices and infrastructure.
- Mentorship: Provide technical leadership and mentorship to junior engineers, analysts, and business users, sharing best practices and fostering a collaborative team environment.
You
- Have a technical bachelor’s degree (computer science, information technology, analytics, or similar) that equips you to help build and maintain our internal tools
- Have 3+ years of experience in Software Engineering or a similar role.
- Are interested in being part of a talented engineering team that is working on scaling our business
- Have extensive experience with cloud platforms (AWS, GCP, Azure) and the underlying constituent services provided
- Have advanced experience in Python or similar programming languages.
- Have first-hand experience with various API’s and integration platforms
- Have a solid understanding of data security, privacy, and compliance requirements.
- Show a proven ability to work in a fast-paced, agile environment and manage multiple projects simultaneously.
- Experience with application containerization and virtualization platforms.
- Experience with CICD build tools (gitlab CICD, github actions, jenkins or similar)
Nice to Have
- Master’s degree in a technical or engineering discipline or business discipline that supplements a technical undergraduate degree
- Experience system architecture and custom software tools
- Experience with IaC tools (Terraform, or similar)
- Familiarity with common AI services and tools (LLM’s, Agents, Assistants, etc.)
Salary Range Information
Based on market data and other factors, the annual salary range for this position is $135,000-$200,000. 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.Compensation Range: $135K - $200K
