Senior Autonomy Software Engineer — Architecture, Equity

NVIDIA

Santa Clara (CA)

On-site

USD 152,000 - 287,500

Full time

14 days+

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Benefits offered by this job

Equity
Benefits

Job summary

NVIDIA’s Solutions Engineering team is seeking a software-focused engineer to advance autonomous driving platforms. You will shape application architecture, integrate NVIDIA solutions across target vehicles, and collaborate with global teams to optimize drivability and performance.

Bring 5+ years in software for deep learning or autonomy, strong control theory and motion planning, and hands-on C/C++ with Python.

Qualifications

  • 5+ years of work experience in software development related to deep learning and/or autonomous driving technologies.
  • Strong foundation in control theory, motion planning, and optimization, including real-time algorithms for safety-critical systems.
  • Solid grasp of vehicle dynamics, state estimation and trajectory generation for real-time hardware.
  • BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent).
  • Excellent C/C++ development skills with good knowledge of Python.
  • Ability to adapt to fast-paced development lifecycles and cross-functional teams.

Responsibilities

  • Shape the application architecture internally, focusing on planning and control in collaboration with architecture and software teams.
  • Integrate NVIDIA solutions in target vehicles, tuning planner and controller for desired dynamics.
  • Lead bring-up activities and provide technical support for functional issues.
  • Perform in-vehicle and simulation test drives for functional and performance analysis.

Skills

C/C++ development
Python
Deep learning
Autonomous driving
Control theory
Real-time algorithms

Education

BS/MS in computer science, robotics, electrical engineering, or related technical field

Tools

QNX RTOS
CUDA programming

Job description

NVIDIA’s Solutions Engineering team is seeking a software-focused engineer to advance autonomous driving platforms. You will shape application architecture, integrate NVIDIA solutions across target vehicles, and collaborate with global teams to optimize drivability and performance.

Bring 5+ years in software for deep learning or autonomy, strong control theory and motion planning, and hands-on C/C++ with Python.

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