Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as ... Deep Learning training, ADAS, Gaming, Video Playback, and Idle. * Deploy machine learning ...
Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as ... Deep Learning training, ADAS, Gaming, Video Playback, and Idle. * Deploy machine learning ...
... ADAS, autonomous systems, and AI data centers) and silicon implementation. This is a high ... S. or M.S. in Electrical or Computer Engineering (Ph.D. preferred) with a deep technical focus ...
... ADAS, autonomous systems, and AI data centers) and silicon implementation. This is a high ... S. or M.S. in Electrical or Computer Engineering (Ph.D. preferred) with a deep technical focus ...
Senior Principal Digital SoC Architect
Richardson, TX · On-site
$180 - $250/hr
... ADAS, autonomous systems, and AI data centers) and silicon implementation. This is a ... S. or M.S. in Electrical or Computer Engineering (Ph.D. preferred) with a deep technical focus ...
Senior Principal Digital SoC Architect
Richardson, TX · On-site
$180 - $250/hr
... ADAS, autonomous systems, and AI data centers) and silicon implementation. This is a ... S. or M.S. in Electrical or Computer Engineering (Ph.D. preferred) with a deep technical focus ...
... ADAS, autonomous systems, and AI data centers) and silicon implementation. This is a high ... S. or M.S. in Electrical or Computer Engineering (Ph.D. preferred) with a deep technical focus ...
... ADAS, autonomous systems, and AI data centers) and silicon implementation. This is a high ... S. or M.S. in Electrical or Computer Engineering (Ph.D. preferred) with a deep technical focus ...
Adas Algorithm Engineer information
See Texas salary details
$55.4K - $67.6K
14% of jobs
$74.8K is the 25th percentile. Wages below this are outliers.
$67.6K - $79.7K
19% of jobs
$79.7K - $91.9K
12% of jobs
The median wage is $96.1K / yr.
$91.9K - $104K
17% of jobs
$104K - $116.2K
12% of jobs
$118.3K is the 75th percentile. Wages above this are outliers.
$116.2K - $128.4K
14% of jobs
$128.4K - $140.5K
7% of jobs
$140.5K - $152.7K
3% of jobs
$152.7K - $164.8K
0% of jobs
$164.8K - $177K
1% of jobs
$177K - $189.1K
2% of jobs
$55.4K
$104K
$189.1K
How much do adas algorithm engineer jobs pay per year?
How does an ADAS Algorithm Engineer typically collaborate with cross-functional teams during the development cycle?
What are the key skills and qualifications needed to thrive as an ADAS Algorithm Engineer?
What is an ADAS Algorithm Engineer?
What is the difference between Adas Algorithm Engineer vs Sensor Fusion Engineer?
| Aspect | Adas Algorithm Engineer | Sensor Fusion Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with automotive systems | Bachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systems |
| Work Environment | Automotive industry, R&D labs, embedded systems | Automotive and robotics industries, embedded and software development |
| Employer & Industry Usage | Automotive OEMs, Tier 1 suppliers, autonomous vehicle companies | Automotive OEMs, sensor manufacturers, autonomous vehicle developers |
Both roles focus on automotive sensor systems, but Adas Algorithm Engineers primarily develop algorithms for driver assistance features, while Sensor Fusion Engineers integrate multiple sensor data sources for accurate environment perception. The roles often overlap but differ in their core focus areas within autonomous driving technology.

Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 242 rated software companies
Job description
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
What you'll be doing:
You will be working on architecting GPU power features and system level power management solutions for NVIDIA products.
Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.
Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.
What we need to see:
Pursuing or recently completed a MS or PhDin Electrical or Computer Engineering (or equivalent experience)
Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus.
Working knowledge of Python, and frameworks/packages like: TensorFlow, Pandas, NumPy, PyTorch a plus.
Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist etc a huge plus.
Experience with lab setup and measurement using equipment such as scope/DAQ is helpful.
Ways to stand out from the crowd:
A master's degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning is a plus!
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 in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993