Senior Manager, System Software Engineering - Metropolis Accelerated And Inferencing Software

NVIDIA

Not specified; not specified; competitive salary p...
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Deep learning architecture intuition
Nvidia gpu kernel tuning expertise
Tensorrt and vllm framework leadership
** NVIDIA is seeking a Senior Manager for System Software Engineering focused on Metropolis Accelerated and Inferencing Software, emphasizing leadership in deep learning and accelerated computing. The ideal candidate should possess extensive experience in machine learning, deep learning architectures, and team management, particularly in embedded software environments. **

Job Summary

  • NVIDIA is seeking an engineering leader to drive strategic implementations of accelerated computing pipelines for self-driving cars and intelligent environments.
  • The role requires hands-on technical leadership to tune deep learning models for NVIDIA GPUs and orchestrate leading performance results on industry benchmarks like MLPerf.
  • Candidates will lead distributed engineering teams across India locations while influencing the future composition of SOC and GPU hardware based on customer insights.

Matching Summary

Match Score: 75

** NVIDIA is seeking a Senior Manager for System Software Engineering focused on Metropolis Accelerated and Inferencing Software, emphasizing leadership in deep learning and accelerated computing. The ideal candidate should possess extensive experience in machine learning, deep learning architectures, and team management, particularly in embedded software environments. **

Salary

Not specified; Not specified; Competitive salary package with benefits

Skills & Requirements

Must-have

  • Deep learning architecture intuition
  • NVIDIA GPU kernel tuning expertise
  • TensorRT and VLLM framework leadership
  • Low-latency inference at scale delivery
  • Embedded software sector experience

Nice-to-have

  • PhD in relevant field
  • Global team leadership across time zones
  • Smart Spaces deployment experience
  • GenAI model standards knowledge
  • Conference representation capability

Key Requirements

  • Masters in Computer Science or equivalent
  • 12+ years total industry experience
  • 8+ years in machine learning/deep learning
  • 6+ years of leadership background
  • 10+ years embedded software expertise

Work Rights

Not specified

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