Embedded Software Engineer - RISCV

NVIDIA is hiring an Embedded Software Engineer - RISCV in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
The listed pay starts 10% above the typical software engineer posting on Level.
Level classifies it as a senior role.
Level lists 2,600+ other open roles at NVIDIA.

AI in this role

NVIDIA is searching for a highly motivated, creative embedded software engineer to join the GPU Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our RISCV BSP package used across the GPU. You should demonstrate the ability to excel in an environment with complex software and hardware designs.

What you'll be doing:

Define, design, develop and verify features for next-gen RISCV controllers on our GPU; collaborating with hardware engineers and fellow software engineers
You will follow the devices all the way through the development process to the customer desktops, notebooks, workstations, and gaming console products that are used throughout the world
Heavily involved with the early modeling and simulation required to produce our world-class products
Multiple opportunities to collaborate and communicate effectively with teams from all around the globe

What we need to see:

BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience)
8+ years of meaningful software development experience, especially with embedded systems
You can demonstrate a hands-on technical background; excellent C programming and embedded, device driver development experience
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)

Ways to stand out from the crowd:

Familiarity with the RISCV architecture
Experience with inner workings of toolchains such as gcc, gdb
Background with embedded system SW concepts, e.g.: RTOS and overlay programming models
Experience with simulation, emulation and HW development cycle
Good documentation and ability to communicate with others

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Embedded Software Engineer - RISCV at NVIDIA rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.