Senior Software Engineer - Autonomous Driving

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 224,000 - 356,500 annuallyFunction: Software EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Problem-solving","Leadership","Collaboration"]

Lead architecture and optimization for autonomous driving software, driving performance analysis of DNN models and TensorRT/cuda pipelines, and collaborate across TensorRT, CUDA, compiler, silicon, perception, and safety teams to deploy high-performance automotive AI on NVIDIA compute platforms.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
2 months ago

Senior Software Engineer - Autonomous Driving

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Lead architecture and optimization for autonomous driving software, driving performance analysis of DNN models and TensorRT/cuda pipelines, and collaborate across TensorRT, CUDA, compiler, silicon, perception, and safety teams to deploy high-performance automotive AI on NVIDIA compute platforms.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Lead architecture and technical strategy for optimizing inference workloads in autonomous driving applications.
  • •Drive end-to-end performance analysis across DNN models, TensorRT/compiler flows, CUDA kernels, memory behavior, scheduling, runtime services, and automotive platform constraints.
  • •Develop and guide model optimization techniques such as quantization, pruning, distillation, graph optimization, operator fusion, kernel selection, and layout/memory optimization.
  • •Collaborate with TensorRT, CUDA, compiler, silicon architecture, perception, planning, DriveOS and safety platform teams.
  • •Build tools, methodologies, and metrics for profiling, benchmarking, debugging, and validating model and platform performance.

Pay and Benefits

Salary: USD 224,000 - 356,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
  • •12+ years of software engineering experience in systems software, AI/ML infrastructure, deep learning inference, compiler/runtime technology, or platform performance.
  • •Strong C/C++ and practical Python experience.
  • •Deep familiarity with TensorRT, TensorRT-LLM, ONNX, PyTorch, CUDA, Triton, or related frameworks.
  • •Experience optimizing DNN models for latency, throughput, memory footprint, and power.
Experience:12+ yearsAutonomous drivingAI/ML infrastructureDeep learning inferenceCompiler/runtime technologyPlatform performance
Education:Bachelor's
Skills:Problem-solvingLeadershipCollaboration
Tech Stack:C++PythonTensorRTCUDAPyTorchONNXTriton

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor