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Internship Nvidia Autonomous Driving Jobs in Oregon

Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++ Design ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++ * Design ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

Act as a technical expert supporting sales teams, driving adoption of NVIDIA solutions through ... If you're creative and autonomous, we want to hear from you. Your base salary will be determined ...

Senior Math Libraries Engineer - Dense Linear Algebra

OR · On-site +1

$100K - $136K/yr

... autonomous vehicles, LLMs, computer vision, encryption, and countless others. Did you know our team ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

NVIDIA seeks a Cloud Sales Enablement Manager to guide strategic collaboration and joint go-to ... Experience driving the full GTM lifecycle-from large-scale event delivery and developer activations ...

Solutions Architect, HPC Systems Engineer

OR · On-site +1

$63 - $83/hr

As part of the NVIDIA SA organization, you will be driving our end-to-end technology solutions ... If you're creative and autonomous, we want to hear from you. Your base salary will be determined ...

Senior Deep Learning Software Engineer, Inference

OR · On-site +1

$122K - $161K/yr

... driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA ... If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear ...

Senior Software Engineer, Networking DGX Cloud

OR · On-site +1

$122K - $161K/yr

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a ... If you're creative and autonomous, we want to hear from you. What you'll be doing: Developing ...

Showing results 41-60

Internship Nvidia Autonomous Driving information

What is the difference between Internship Nvidia Autonomous Driving vs Intern Nvidia Computer Vision?

AspectInternship Nvidia Autonomous DrivingIntern Nvidia Computer Vision
Required CredentialsEnrolled in Computer Science, Electrical Engineering, or related fields; some knowledge of AI and roboticsEnrolled in Computer Science, Electrical Engineering, or related fields; strong programming skills in Python/C++
Work EnvironmentResearch labs, automotive industry projects, collaborative teamsResearch labs, AI development teams, tech industry settings
Employer & Industry UsageUsed by Nvidia in autonomous vehicle projects and automotive industryUsed by Nvidia in AI and computer vision applications across various sectors

Both internships involve AI, programming, and hardware knowledge, but the Autonomous Driving role focuses on vehicle systems and robotics, while Computer Vision emphasizes image processing and AI algorithms. Candidates should choose based on their interest in automotive applications versus general AI and vision tech.

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Senior Software Architect - Data Center Systems

Nvidia

Hillsboro, OR

$141K - $191K/yr

Full-time

Re-posted 25 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We are building innovative server systems for GPU accelerated applications, such as Deep Learning. Data Center SW team architects and develops the end to end software and firmware stack for these systems. We are looking for a Senior Software Architect who has deep expertise in designing server platforms and has added understanding of application use cases in Deep Learning workloads.

You will work with world class engineering teams, product management, Operations and Customer support to build systems that will truly delight our customers. What you'll be doing: You will lead software activities for NVIDIA's deep learning server platforms, from design through production; collaborating with teams across company to deliver software solutions Drive the system architecture for a complex server platform in a multi-functional environment. Partner across application software, libraries, system software and firmware teams to design complete software solutions for new server platforms Work directly with major customers to understand their requirements and work to align their roadmap with NVIDIA's roadmap.

Work with business partners and vendors to shape their products to meet NVIDIA's needs. Develop a roadmap of new technologies and protocols and drive their design and adoption. Mentor architects and engineering teams to grow them into future leaders.

Make key technical decisions for designs involving complex inter-component dependencies. What we need to see: Deep experience in designing architecture for scalable and performant server systems, particularly at the SW/HW interface. Understanding of HPC or Deep learning workloads and use of accelerated computing platforms.

Expertise in Out of Band and In-band management architectures. Knowledge of server system architecture and implications of architecture decisions on overall performance of end applications. Demonstrable experience in implementing left shift strategy to de-risk program execution.

Excellent written and verbal communication skills. BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience. 10+ years in the area of System architecture and design.

Ways to stand out from the crowd: Knowledge of cloud and cluster level deployment and management systems. Strong background of device management protocols such as Redfish, IPMI, MCTP, PLDM and RDE. Knowledge in storage and networking technologies.

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. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. 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 a challenge. If so, we want to hear from you.

Come, join our Data center server systems team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 5, 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

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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