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Executive Nvidia Engineering Jobs in Oregon (NOW HIRING)

OR · On-site

... and executive leadership * Demonstrated success influencing multiple engineering teams to ... Familiarity with NVIDIA platforms (DGX, HGX, NVLink topology) and profiling tools * Experience ...

... executives at NVIDIA, our partners, ISVs, and customers. Ways to stand out from the crowd: * Hands-on familiarity with NVIDIA DOCA, BlueField DPUs, SuperNICs, NIC software ecosystems, programmable ...

OR · On-site

Join NVIDIA and play a leading role in bringing breakthrough technologies to some of the world ... Work with engineering, product, sales, and partner teams to support pilots, production deployments ...

... NVIDIA Blueprints and VAST). Evaluate revenue share models, joint sales plays, and co-deployment ... Account Executives, Solution Engineers, and Professional Services globally. * Business Planning ...

You don't need to be a deep engineer, but you need enough technical fluency to earn trust with ... Executive presence and the ability to operate without a large corporate machine around you. You ...

Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...

Executive Nvidia Engineering information

What is the difference between Executive Nvidia Engineering vs Nvidia Hardware Engineer?

AspectExecutive Nvidia EngineeringNvidia Hardware Engineer
Required CredentialsBachelor's or Master's in Engineering, Business, or related fields; leadership experienceBachelor's or Master's in Electrical, Computer, or Hardware Engineering; technical certifications
Work EnvironmentLeadership meetings, strategic planning, cross-department collaborationDesign, testing, and development of hardware components in labs or offices
Employer & Industry UsageUsed in corporate leadership, product strategy, and high-level project management within NvidiaUsed in R&D, product development, and technical implementation teams at Nvidia

Executive Nvidia Engineering roles focus on strategic leadership, project oversight, and high-level decision-making, often requiring management experience. Nvidia Hardware Engineers concentrate on designing and testing hardware components, requiring technical expertise. Both roles are integral to Nvidia's success but differ significantly in responsibilities and work environment.

What are the key skills and qualifications needed to thrive as an Executive Nvidia Engineer, and why are they important?

To thrive as an Executive Nvidia Engineer, you need advanced expertise in computer engineering, deep learning, and GPU architecture, typically supported by a relevant engineering degree and extensive industry experience. Proficiency with programming languages like C++ and Python, experience with CUDA, and familiarity with AI frameworks such as TensorFlow or PyTorch are crucial, as are potential certifications in cloud or AI technologies. Leadership, strategic thinking, and strong communication skills are vital for driving innovation and leading high-performance teams. These skills and qualities ensure the effective development and deployment of cutting-edge technologies while aligning technical initiatives with organizational goals.

What does an Executive Nvidia Engineering professional do?

An Executive Nvidia Engineering professional typically leads engineering teams and oversees technical projects at Nvidia, focusing on innovative solutions in areas such as graphics processing, artificial intelligence, and high-performance computing. They are responsible for setting technical vision, managing large-scale engineering operations, and aligning projects with the company's business goals. Additionally, they collaborate closely with other executives, stakeholders, and partners to drive strategic initiatives and ensure product excellence. Their role requires deep technical knowledge, leadership skills, and the ability to operate in a fast-paced, cutting-edge technology environment.

How does an Executive Nvidia Engineering role typically collaborate with cross-functional teams within the company?

In an Executive Nvidia Engineering position, collaboration with cross-functional teams is central to driving innovation and meeting business objectives. Executives often work closely with product managers, software and hardware engineering teams, research scientists, and business development leaders to align technical projects with strategic goals. They facilitate communication between technical and non-technical stakeholders, ensuring that engineering efforts support product roadmaps and customer needs. This role frequently involves leading cross-departmental meetings, resolving technical challenges, and mentoring team leads to foster a culture of collaboration and high performance.
What are the most commonly searched types of Nvidia Engineering jobs in Oregon? The most popular types of Nvidia Engineering jobs in Oregon are:
What are popular job titles related to Executive Nvidia Engineering jobs in Oregon? For Executive Nvidia Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Executive Nvidia Engineering jobs in Oregon look for? The top searched job categories for Executive Nvidia Engineering jobs in Oregon are:

Senior System Software Engineer, Enterprise MODS

Nvidia

Hillsboro, OR

Full-time

Re-posted 13 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 242 rated software companies


Job description

At NVIDIA, 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

The data center platforms like GB200 NVL72 by NVIDIA are redefining AI, HPC, and cloud computing. To accommodate leading workloads globally, our diagnostic systems need to evolve across diverse hardware technologies. We're in search of a visionary technical leader to engineer and propel innovation in diagnostics for NVIDIA's partner ecosystem. This role is essential in crafting how we validate, debug, and optimize complex server platforms across ODM factories, Cloud Service Provider (CSP) deployments, and field operations.

What You'll Be Doing:

  • Develop diagnostic systems for NVIDIA data center platforms, which involve hardware and software tools to develop the worst case stress workloads for CPUs, GPUs, memory, storage, and interconnects.

  • Lead platform bring-up and integration, ensuring diagnostics are embedded early and effectively across the server lifecycle.

  • Drive hardware validation strategy in collaboration with architecture and hardware teams, crafting robust validation plans for new server generations.

  • Analyze root causes of complex failures, acting as a Level 2 engineering contact for critical issues and offering scalable solutions across the stack.

  • Develop diagnostics software to ensure quality and performance at scale across ODM and partner production lines.

  • Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence.

  • Influence the long-term strategy by developing diagnostic architecture and roadmaps for the upcoming products of NVIDIA and its partners.

What we need to see:

  • Proven experience architecting diagnostics for complex server systems, especially at the SW/HW interface.

  • Deep systems knowledge: x86/ARM architectures, Linux/Windows OS internals, firmware (UEFI/BIOS), BMC, and platform security.

  • Ability to weigh tradeoffs in system development and drive the most optimum solutions with customers and multi-disciplinary teams

  • Expertise in programming languages like C, C++, and Python for tool development and automation.

  • Familiarity with high-speed interconnects such as PCIe, Infiniband, NVLink, and Ethernet.

  • Strong communication skills to engage with technical and executive team.

  • BS/MS or equivalent experience in Computer Science, Electrical Engineering, or related field.

  • 12+ years of engineering experience in diagnostics, embedded systems, or cloud platforms.

Ways to stand out from the crowd:

  • Experience driving diagnostics across rack-level or cluster-level deployments.

  • Background in cloud-scale infrastructure and partner engagement.

  • Demonstrated success in influencing product direction and vendor roadmaps.

  • Passion for mentoring and building high-performing teams.

NVIDIA is at the forefront of AI, HPC, and visualization. Our diagnostics are the nervous system of our platforms-ensuring reliability, performance, and innovation at scale. If you're a creative, driven architect ready to shape the future of diagnostics, 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 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 January 27, 2026.

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.

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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