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About the Role
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure. Our mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. Join us to build the world's best AI cloud.
Responsibilities
- 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.
Requirements
- 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.
- 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
Skills
- System design
- Architecting for performance
- Architecting for scalability
- AWS
- GCP
- Azure
- Configuration management systems
- Chef
- Ansible
- Terraform
- GitHub Actions
- Python
- Go
- Collaboration
- Asynchronous communication
- Documentation
- ML/AI workloads
- ML/AI compute
- Paging
- Alerting
- On-call scheduling
Location
- San Francisco
- San Jose
Work Type
- Hybrid
- Onsite (4 days per week)
Salary/Compensations
- Salary range set based on market data and other factors. Higher or lower may be appropriate based on qualifications.
Benefits
- 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
About the Company
- Founded in 2012, with 500+ employees, and growing fast.
- Investors 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.
- Has research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
- Values are publicly available: https://lambda.ai/careers
Equal Opportunity
- 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.