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Staff AI/ML Performance Engineer

General Motors
Remote, USA
Full-time
Senior · 8+ years experience
Remote
Discovered 1 weeks ago
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Experience

  • 5+ years of professional experience in high-scale infrastructure or ML systems.
  • Education: Bachelor’s Degree in Computer Science, a related technical field, or equivalent practical experience.
  • Software Proficiency: Expert-level coding skills in Python and the ability to architect/debug within the PyTorch ecosystem.
  • Systems Engineering: Proven track record of resolving performance issues within large-scale distributed production environments.
  • Architectural Knowledge: Deep understanding of distributed systems, specifically modern ML system design and high-performance computing (HPC).
  • Containerization: Hands-on experience with Kubernetes for orchestrating complex workloads.
  • GPU Monitoring: Technical proficiency with Nvidia DCGM, nvidia-smi, and Grafana for real-time telemetry and observability.
  • Cloud Platforms: Extensive experience working within major cloud ecosystems ( AWS, GCP, or Azure ).
  • What will give you a competitive edge (Preferred Qualifications)
  • Advanced Experience: 8+ years of relevant industry experience.
  • Hardware Expertise: Working knowledge of Enterprise-grade Nvidia GPU architectures, including H100, B200, and GB200.
  • Model Deployment: Experience deploying and scaling open-source models via the Hugging Face ecosystem.
  • Data Analytics: Proficiency in BigQuery for large-scale data analysis and reporting.
  • Profiling Tools: Practical experience utilizing Nvidia Nsight and Nsight Compute for kernel-level performance tuning.
  • Soft Skills: Strong technical communication skills with the ability to translate complex infrastructure needs into actionable business insights.
  • Hybrid: This role is categorized as Hybrid. This means the successful candidate is expected to report to Sunnyvale Technical Center at minimum three days per week or at the hiring manager’s discretion. Ability to sit remote in Seattle, WA until office opens.
  • Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
  • The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Preferred Qualifications

  • What will give you a competitive edge (Preferred Qualifications)
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

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