Senior Software Engineer, Deep Learning Inference - Automotive Safety

Nvidia Corporation

CA, United States
Base: 152,000 usd - 241,500 usd (level 3); 184,000...
On-site
High-performance deep learning inference
Modern c++ development
Safety-critical software requirements
Nvidia Corporation is seeking a Senior Software Engineer specializing in deep learning inference for automotive safety applications. The role involves designing high-performance software, collaborating with cross-functional teams, and ensuring compliance with safety-critical standards

Job Summary

  • Lead the design and development of high-performance deep learning inference software for safety-critical automotive applications using modern C++.
  • Orchestrate the integration of new hardware functionalities into TensorRT's compiler and runtime for specialized and constrained platforms.
  • Drive systematic development of test plans from unit to integration level, with emphasis on rigorous safety validation and verification.

Matching Summary

Match Score: 85

Nvidia Corporation is seeking a Senior Software Engineer specializing in deep learning inference for automotive safety applications. The role involves designing high-performance software, collaborating with cross-functional teams, and ensuring compliance with safety-critical standards.

Salary

Base: 152,000 USD - 241,500 USD (Level 3); 184,000 USD - 287,500 USD (Level 4); Bonus/Equity: Not specified; Benefits: Eligible for equity and benefits

Skills & Requirements

Must-have

  • High-performance deep learning inference
  • Modern C++ development
  • Safety-critical software requirements
  • Deep learning concepts and frameworks
  • Systematic test plan development

Nice-to-have

  • Automotive safety standards
  • Python and/or CUDA proficiency
  • Systems programming experience
  • Compiler development background
  • Performance benchmarking and optimization

Key Requirements

  • Bachelors, Masters, PhD, or equivalent experience
  • At least 5+ years of software development experience
  • C++14 or newer standards knowledge
  • Experience with safety-critical software development
  • Track record of taking initiative

Work Rights

Not specified

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