Senior Perception Software Engineer

at Nvidia

📍 United States

USD 224,000-356,500 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI CUDA @ 4 Communication @ 6 Deep Learning @ 6 Machine Learning @ 4 PyTorch @ 6 Python @ 7 Software Development @ 4 TensorFlow @ 6

Details

NVIDIA is developing AI-powered solutions for computers, robots, and self-driving cars. As a member of the perception team, you will design, develop, and productize autonomous driving solutions by building robust, efficient, and reusable perception software components in collaboration with perception engineers and researchers.

Responsibilities

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

Requirements

Bachelor's, master's, or doctoral degree in Computer Science or a related field, or equivalent experience.
12+ years of professional experience as a Software Engineer or Software Developer working on embedded platforms for real-time applications.
Strong programming skills in C++ and Python.
Experience with test-driven development.
Experience with a disciplined, design-based approach to software development.
Proficiency with software engineering tools.
Ability to document requirements and specifications.
Outstanding communication and collaboration skills.

Preferred Qualifications

Experience with CUDA or SIMD.
Hands-on experience deploying DNN models to embedded platforms for real-time applications.
Experience using simulated or synthetic data to improve machine learning model accuracy.
Background with deep learning frameworks such as TensorFlow or PyTorch.
Experience with integration and testing on real hardware or robotic platforms.

Compensation and Benefits

The base salary range is $224,000–$356,500 USD per year, determined by location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until September 22, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.