Senior Computer Vision and Deep Learning Hardware Architect

NVIDIA|15 Jul 2026

fulltimeonsite

Before you apply

Listed location: China, Shanghai

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem

Job Description

We’re looking for an Autonomous Vehicle Performance Architecture Engineer. NVIDIA MMPLEX PVA team is designing the state-of-art programmable vision accelerator (PVA) which targets the automotive and robotic area. We are responsible for the architecture modeling, designing and verifying. We also deliver most high-performance/efficient computer vision applications and kernels to the world-wide customers.

What you'll be doing:

Work on delivering most efficient software on PVA for Autonomous Driving solutions
Analyze, prototype and optimize key applications for both existing and new architectures for PVA
Build model to predict performance, power and reliability on future architectures and propose and evaluate new architecture features
Be involved in crafting tools to analyze, simulate, validate and verify application performance and energy consumption
Collaborate with different teams to improve the PVA architecture to extend the state of the art in performance, efficiency, reliability and programmability

What we need to see:

Master's or PhD (or equivalent experience)
3+ years of experience equivalent experience in relevant discipline (CE, CS&E, CS, AI)
Excellent C/C++ programming and software design skills
Strong background in computer architecture, high performance computing
Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and DSP

Ways to stand out from the crowd:

DSP programming, performance analysis, modelling and optimization experience (GPU programming experience is a plus)
Autonomous vehicle software development experience
Expertise in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results
Experience in deep learning, computer vision and self-driving car domain

Skills mentioned

Computer VisionGPU

Frequently asked questions

Is the Senior Computer Vision and Deep Learning Hardware Architect position at NVIDIA remote?

The Senior Computer Vision and Deep Learning Hardware Architect role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.

What type of employment is the Senior Computer Vision and Deep Learning Hardware Architect role?

NVIDIA is hiring for a full-time Senior Computer Vision and Deep Learning Hardware Architect position.

Which skills are mentioned for the Senior Computer Vision and Deep Learning Hardware Architect job at NVIDIA?

Detected skill labels include Computer Vision, GPU. Check the employer description to distinguish required skills from preferred experience.

How do I apply for the Senior Computer Vision and Deep Learning Hardware Architect position at NVIDIA?

You can apply for the Senior Computer Vision and Deep Learning Hardware Architect role directly through NVIDIA's official application link provided on this page.