Senior Perception Software Engineer — Embedded AI Equity

NVIDIA

Washington

On-site

USD 224,000 - 357,000

Full time

2 days ago
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Benefits offered by this job

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Benefits

Job summary

NVIDIA is seeking a passionate Software Engineer to design, develop, and productize its autonomous driving solutions. As part of the perception team, you will build world-class perception software components and work closely with researchers to improve robustness and efficiency on embedded platforms.

You will execute the full software development life cycle, write high-quality C++ and Python, and deploy DNN models to real hardware.

Qualifications

  • BS, MS or PhD in Computer Science or related fields (or equivalent experience).
  • 12+ years of proven embedded real-time software experience.
  • Strong programming skills in C++ and Python.
  • Experience with test-driven development.
  • Proficiency with software engineering tools.
  • Ability to document requirements and specifications.
  • Excellent communication and collaboration in a tight-knit team.

Responsibilities

  • Execute full software development life cycle (SDLC).
  • Write well-designed, testable code.
  • Integrate perception software components into a fully functional software system.
  • Develop software verification plans and quality assurance procedures.
  • Document and maintain software functionality.
  • Solve, debug and upgrade existing systems.
  • Deploy state-of-the-art perception DNN models to embedded platforms.
  • Analyze and improve the system using real and synthetic benchmark data.

Skills

C++
Python
Embedded real-time experience
Test-driven development
Software design discipline
Communication skills

Education

BS, MS or PhD in Computer Science or related fields

Tools

CUDA
TensorFlow
PyTorch
Software engineering tools

Job description

NVIDIA is seeking a passionate Software Engineer to design, develop, and productize its autonomous driving solutions. As part of the perception team, you will build world-class perception software components and work closely with researchers to improve robustness and efficiency on embedded platforms.

You will execute the full software development life cycle, write high-quality C++ and Python, and deploy DNN models to real hardware.

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