Senior Perception AI Engineer (Embedded/Real-Time)

NVIDIA Corporation; Sacramento (CA); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a passionate Software Engineer to design, develop, and productize NVIDIA's autonomous driving perception solutions. You will build robust perception software, deploy DNN models to embedded platforms, and work closely with world-class engineers and researchers in a fast-paced team.

Your role involves executing the full SDLC, writing clean, testable code, and documenting requirements while collaborating across teams.

Qualifications

• 12+ years of embedded real-time software experience.
• Strong C++ and Python programming.
• Experience with test-driven development.
• Disciplined, design-based software engineering approach.
• Proficient with standard software engineering tools.
• Ability to document requirements and specs.
• Excellent communication and collaboration within a tight team.

Responsibilities

• Execute full software development life cycle (SDLC).
• Write well-designed, testable code.
• Integrate perception software components into a full system.
• Develop software verification plans and QA procedures.
• Document and maintain software functionality.
• 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

TDD

Software tools

Documentation

Communication

Education

BS/MS/PhD in CS or related

Tools

CUDA

TensorFlow

PyTorch

Job description

NVIDIA Corporation is seeking a passionate Software Engineer to design, develop, and productize NVIDIA's autonomous driving perception solutions. You will build robust perception software, deploy DNN models to embedded platforms, and work closely with world-class engineers and researchers in a fast-paced team.

Your role involves executing the full SDLC, writing clean, testable code, and documenting requirements while collaborating across teams.