If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco of San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday
Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company-Finance, GTM, Engineering, and People-to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.
What You'll Do- Design, write, and deliver software and services to improve the availability, scalability, reliability, and efficiency of Lambda's internal IT systems and platforms.
- Solve problems relating to mission critical services and build automation to prevent problem recurrence with the goal of automating response to all non-exceptional events.
- Work with Lambda Engineering and internal teams to Influence and create new designs, architectures, standards, and methods for large-scale distributed systems.
- Engage in service capacity planning and demand forecasting, software performance analysis, and system tuning.
- Be an excellent communicator, producing documentation and related artifacts for the systems you are responsible for.
You- Have a keen interest in system design, architecting for performance, scalability, and experience with multiple cloud infrastructure platforms (AWS, GCP, Azure, etc.).
- Think carefully about systems: edge cases, failure modes, behaviors, and specific implementations.
- Know and prefer configuration management systems and toolchains (Chef, Ansible, Terraform, GitHub Actions, etc.)
- Have solid programming skills: Python, Go, etc.
- Have an urge to collaborate and communicate asynchronously, combined with a desire to record and document issues and solutions.
- Have an enthusiastic, go-for-it attitude. When you see something broken, you can't help but fix it.
- Have an urge for delivering quickly and effectively, and iterating fast.
Nice to Have- Experience and interest in ML/AI workloads and compute
- Practical experience implementing and managing paging, alerting, and on-call scheduling flows
- A positive attitude, combined with a desire to learn and collaborate
Salary Range InformationThe 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
