Title: Infrastructure Engineer
Location: Hybrid - Sunnyvale, CA
Target Start Date: May 2025
Type: Full-time/Contract - 1 year
Pay Rate: DOE
This is a highly impactful opportunity to design and optimize infrastructure for bleeding-edge AI workloads. If you live and breathe performance benchmarking and know how to make GPUs purr, this is your playground.
Job Description: We are seeking a seasoned Infrastructure Engineer to join a high-performance tech team tackling large-scale infrastructure challenges. You'll take ownership of infrastructure research and implementation efforts, with a specific focus on GPU computing performance. Your expertise in Kubernetes, distributed systems, and scripting will be essential in building robust, scalable solutions. You'll play a critical role in benchmarking, debugging, and tuning AI infrastructure to optimize performance. Must be comfortable working flexible hours, including late nights when critical benchmarks or deadlines require it.
Required Skills: - 5-7 years of experience in infrastructure research, with a focus on GPU computing performance
- 10+ years of hands-on experience in Kubernetes, containers, distributed systems, Python, and systems scripting
- Deep knowledge of AI infrastructure optimization, performance tuning, and debugging
- Proven experience designing and managing benchmark-driven infrastructure solutions
- Ability to analyze complex benchmarking data and deliver clear, actionable insights
Bonus/Soft Skills: - Strong analytical and problem-solving mindset
- Flexibility to work late hours for performance testing and deadline-driven deliverables
- Experience collaborating with a full-time Systems Admin focused on GPU hardware
- Ability to work independently and thrive in a fast-paced environment
- Clear communicator who can turn technical insights into strategic recommendations
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