Related skills
python distributed systems go cloud computing ai infrastructure๐ Description
- Lead and grow a team of AI infra engineers
- Set technical direction for AI post-training, inference, and data pipelines
- Drive performance across GPU/xPU, networking, storage, and cloud
- Own reliability, scalability, and observability for AI workloads
- Partner cross-functionally with research/ML/product to define infra roadmap
- Translate business and research needs into long-term infra strategy and execution plans
๐ฏ Requirements
- Experience leading teams building GenAI infra, distributed systems, or high-performance platforms
- Strong background in cloud computing, large-scale distributed systems, AI/ML infra
- Deep understanding of AI workload scaling: accelerators (GPU/xPU), scheduling, tuning
- Comfortable making architectural tradeoffs across cost, performance, reliability, and velocity
- Proficient in Python, Go, or similar languages; guide design/review of complex systems
- Thrive in fast-paced, ambiguous environments and collaborate across research and engineering
๐ Benefits
- Full medical coverage
- Flexible PTO
- Wellness reimbursement
- Monthly lunch stipend
- Wellness programs
- Donation-matching program
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest โ finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!