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Senior Software Engineer, Deep Learning - MLIR TRT

NVIDIA
Santa Clara, CA Full-time 2/4/2026 $184k - $356.5k per year
Master's with 2+ Years of ExperienceUndergraduate with 5+ Years of Experience
Approval 99.2%Total filings 1,781New hires 873
👑 Elite Sponsor
FY 2025

Job Description

NVIDIA is seeking Senior Deep Learning Software Engineers to develop and productize deep learning solutions for autonomous driving vehicles. The role involves creating compiler technology to optimize deep learning models for NVIDIA's hardware, while collaborating with partners to address their product development challenges.

Requirements

  • MS or PhD degree in computer science, computer vision, robotics, computer architecture or equivalent experience
  • 5+ years of work experience in software development
  • 2+ years of experience in developing deep learning frameworks or compiler technologies
  • Domain experience in GPU programming or system-level optimization for deep learning
  • Strong C/C++ programming skills
  • Familiar with state-of-the-art deep learning techniques for inference and training
  • Willing to take action and have strong analytical skills

Responsibilities

  • Developing compiler technologies to accelerate deep learning inference on NVIDIA hardware platforms
  • Working across a wide range of abstractions from model fine-tuning and quantization to low-level kernel development
  • Develop workflows that let users leverage frameworks and compiler technologies without forgoing performance
  • Work with customers to help accelerate their workloads on NVIDIA platforms
  • Stay up to date with the latest research and innovations in deep learning

Benefits

  • Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.