Senior Embedded Perception Software Engineer (AI/CUDA)

NVIDIA Corporation; California; On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in California seeks a passionate Software Engineer to design, develop, and productize NVIDIA's autonomous driving perception software. You will build world-class perception components and collaborate with researchers to deploy models on embedded platforms, driving robustness and reusability across the stack.

The role emphasizes full SDLC, writing clean code, and delivering documentation, verification plans, and QA procedures, while aligning with project plans and industry

Qualifications

• BS, MS or PhD in Computer Science or related field (or equivalent experience).
• 12+ years of embedded real-time software experience as a Software Engineer/Developer.
• Strong C++ and Python programming skills.
• Experience with test-driven development and documenting requirements.

Responsibilities

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

Skills

C++

Python

Embedded RT

Test-driven development

Documentation

Communication

Collaboration

Education

BS/MS/PhD in CS

Tools

CUDA

TensorFlow

PyTorch

Job description

NVIDIA Corporation in California seeks a passionate Software Engineer to design, develop, and productize NVIDIA's autonomous driving perception software. You will build world-class perception components and collaborate with researchers to deploy models on embedded platforms, driving robustness and reusability across the stack.

The role emphasizes full SDLC, writing clean code, and delivering documentation, verification plans, and QA procedures, while aligning with project plans and industry