Senior Integration Engineer, End-to-End Model - Autonomous Vehicles

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 152,000 - 287,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 1+ yearsSkills: ["Debugging","Performance analysis","Problem-solving","Engineering judgment","Cross-functional collaboration"]

Work on NVIDIA’s end-to-end autonomous driving application by integrating learned driving models with vehicle interfaces, sensors, localization, mapping, safety systems, and runtime contracts. Partner with model developers to improve quality, debuggability, and deployment readiness; investigate discrepancies across simulation and target vehicle platforms; and optimize inference and surrounding software for latency, throughput, memory, determinism, and power. Develop production C++/Python code using CUDA/GPU-accelerated technologies and tools to evaluate driving quality and safety at scale.

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FursaFursa
NVIDIA
NVIDIA
7 hours ago

Senior Integration Engineer, End-to-End Model - Autonomous Vehicles

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Work on NVIDIA’s end-to-end autonomous driving application by integrating learned driving models with vehicle interfaces, sensors, localization, mapping, safety systems, and runtime contracts. Partner with model developers to improve quality, debuggability, and deployment readiness; investigate discrepancies across simulation and target vehicle platforms; and optimize inference and surrounding software for latency, throughput, memory, determinism, and power. Develop production C++/Python code using CUDA/GPU-accelerated technologies and tools to evaluate driving quality and safety at scale.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Integrate learned driving models with vehicle interfaces, sensor inputs, localization, mapping, safety systems, and other autonomous driving components.
  • •Define model input/output, timing, state-management, and runtime interface contracts for reliable integration.
  • •Partner with model developers to improve model quality, debuggability, runtime behavior, and deployment readiness.
  • •Investigate discrepancies between development-environment model behavior and performance on target vehicle platforms; optimize inference and software for latency, throughput, memory, determinism, and power.
  • •Develop tools and metrics to evaluate driving quality, safety, robustness, and regression performance at scale; perform in-vehicle testing and analyze collected driving data.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •PhD with 1+ year, MS with 3+ years, or BS (or equivalent) with 5+ years in computer science, computer engineering, robotics, machine learning, or a related field.
  • •Strong C++ programming, software architecture, debugging, and performance-analysis skills, including model inference technologies such as CUDA and TensorRT.
  • •Proficiency in Python and experience with modern machine-learning frameworks such as PyTorch.
  • •Experience developing software on Linux and embedded or real-time operating systems such as QNX.
  • •Experience integrating machine-learning models into complex, performance-sensitive production systems and diagnosing issues across software, middleware, operating systems, and hardware.
Experience:1+ yearsAutonomous drivingRoboticsADASMachine learning
Skills:DebuggingPerformance analysisProblem-solvingEngineering judgmentCross-functional collaboration
Tech Stack:C++PythonCUDATensorRTPyTorchLinuxQNX

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
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