Staff/ Principal Software Engineer (L6/L7): AI Platform Model Serving

Added
7 days ago
Type
Full time
Salary
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Related skills

distributed systems rpc model serving nvidia triton vllm

πŸ“‹ Description

  • Lead platform architecture and technical strategy
  • Build high-performance inference infrastructure
  • Optimize GPU utilization and inference economics
  • Develop intelligent model-serving capabilities
  • Advance asynchronous and agentic workloads
  • Drive technical innovation and research

🎯 Requirements

  • Bachelor's, master's, or doctoral degree in Computer Science, Applied Mathematics, Engineering, or
  • Extensive experience designing and operating high-traffic distributed services, high-performance
  • Demonstrated success building and scaling inference platforms for machine learning and foundation
  • Strong understanding of latency and throughput optimization, resource allocation, GPU/CPU
  • Practical experience with model-serving platforms and runtimes such as NVIDIA Triton Inference
  • Experience deploying and scaling AI workloads using Kubernetes and public cloud platforms such as

🎁 Benefits

  • Competitive compensation: Annual salary range of $890,000–$1,690,000, depending on location
  • Flexible compensation structure: Compensation is primarily salary-based, without annual bonuses.
  • Comprehensive healthcare: Access to health plans, mental health support, health savings accounts
  • Retirement planning: 401(k) retirement plan with employer matching.
  • Equity opportunities: Stock option program offering eligible employees an opportunity to
  • Family and personal protection: Family-forming benefits, disability programs, life insurance, and
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