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Manager Nvidia Autonomous Driving Jobs in Alabama

NVIDIA is searching for an outstanding ASIC Engineer to build and implement an MMU for the world ... Our approach delivers the performance required by autonomous vehicles, photo-realistic games and ...

In this high-autonomy, high-trust role, you will act as the strategic and analytical backbone ... NVIDIA Blueprints and VAST). Evaluate revenue share models, joint sales plays, and co-deployment ...

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UxS Software Systems Engineer

Huntsville, AL

$161K - $191K/yr

Overview The Tactical Software and Autonomy Solutions (TSAS) team at i3 supports USSOCOM ... The candidate will work onsite with a Government Program Management team to organize and facilitate ...

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Manager Nvidia Autonomous Driving information

What is the difference between Manager Nvidia Autonomous Driving vs Software Engineer Nvidia Autonomous Driving?

AspectManager Nvidia Autonomous DrivingSoftware Engineer Nvidia Autonomous Driving
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Computer Science or related field
Work EnvironmentTeam leadership, project management, cross-functional collaborationSoftware development, coding, testing, debugging
Employer & Industry UsageAutomotive tech companies, Nvidia, autonomous vehicle industryTech companies, Nvidia, autonomous vehicle projects

The main difference is that the Manager Nvidia Autonomous Driving oversees teams and projects related to autonomous vehicle technology, focusing on leadership and coordination. In contrast, the Software Engineer Nvidia Autonomous Driving is primarily involved in coding and developing the software components. Both roles require technical expertise, but the manager role emphasizes project management and team oversight.

What are the most commonly searched types of Nvidia Autonomous Driving jobs in Alabama? The most popular types of Nvidia Autonomous Driving jobs in Alabama are:
What are popular job titles related to Manager Nvidia Autonomous Driving jobs in Alabama? For Manager Nvidia Autonomous Driving jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Manager Nvidia Autonomous Driving jobs? Cities in Alabama with the most Manager Nvidia Autonomous Driving job openings:

Senior ASIC Design Engineer - GPU

Nvidia

Madison, AL • Hybrid

Full-time

Posted 10 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies


Job description

We are now looking for a Senior ASIC Engineer! NVIDIA is searching for an outstanding ASIC Engineer to build and implement an MMU for the world's top SoCs and GPUs. This position provides an opportunity to influence a dynamic technology company's products, from consumer graphics to autonomous vehicles. Positioned at the leading edge of artificial intelligence and deep learning, NVIDIA drives innovation in modern computing. Our team of remarkable professionals works worldwide, aiming to push the boundaries of today's possibilities and shape the future computing platform.

As a member of the MMU team, you will contribute to the development and implementation of a state-of-the-art memory management system with complex build requirements. Our approach delivers the performance required by autonomous vehicles, photo-realistic games and applications, as well as the world's leading supercomputers!

What you'll be doing:

  • As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro-architecture of a high-performance MMU for a GPU using advanced verification methodologies.

  • Contribute to architecture decisions.

  • Mentor other engineers on the team.

  • Collaborate with architects, designers, and software engineers across sites to accomplish your goals.

What we need to see:

  • Bachelors or Masters Degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.

  • 5+ years of relevant work or research experience.

  • Experience crafting memory subsystem units with properties such as memory coherency and arbitration policies.

  • Proficiency in Verilog, build and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, Synopsys).

  • A solid understanding of Object-Oriented Programming with C++ and/or SystemVerilog.

  • Strong communication skills are required.

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. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 26, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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