NVIDIA seeks a Senior Engineering Manager to define and drive NVIDIA's JAX strategy, coordinating ... engineers to executives * Track record of owning outcomes across multiple projects and teams ...
NVIDIA seeks a Senior Engineering Manager to define and drive NVIDIA's JAX strategy, coordinating ... engineers to executives * Track record of owning outcomes across multiple projects and teams ...
Build positive relationships with C-level executives, product leaders, architects, developers, data scientists, IT leaders, and decision-makers. * Accelerate ISV adoption of NVIDIA tools, SDKs ...
Build positive relationships with C-level executives, product leaders, architects, developers, data scientists, IT leaders, and decision-makers. * Accelerate ISV adoption of NVIDIA tools, SDKs ...
... executives, with end-to-end experience defining, integrating, building, and jointly marketing ... NVIDIA product and engineering teams to align roadmaps with AWS platform priorities. • Active ...
... executives, with end-to-end experience defining, integrating, building, and jointly marketing ... NVIDIA product and engineering teams to align roadmaps with AWS platform priorities. • Active ...
OR · On-site
Build positive relationships with C-level executives, product leaders, architects, developers, data scientists, IT leaders, and decision-makers. * Accelerate ISV adoption of NVIDIA tools, SDKs ...
NVIDIA is seeking a Senior Director, System Software Engineering, to lead strategy and execution ... and executives. * Demonstrated success building and leading high-performing teams, developing ...
NVIDIA is seeking a Senior Director, System Software Engineering, to lead strategy and execution ... and executives. * Demonstrated success building and leading high-performing teams, developing ...
NVIDIA is the engine of AI and accelerated computing, profoundly impacting education and the world ... Build trusted relationships with executive, product, engineering, and GTM leaders at partner ...
NVIDIA is the engine of AI and accelerated computing, profoundly impacting education and the world ... Build trusted relationships with executive, product, engineering, and GTM leaders at partner ...
OR · On-site
Build positive relationships with C-level executives, product leaders, architects, developers, data scientists, IT leaders, and decision-makers. * Accelerate ISV adoption of NVIDIA tools, SDKs ...
NVIDIA is the engine of AI and accelerated computing, profoundly impacting education and the world ... Build trusted relationships with executive, product, engineering, and GTM leaders at partner ...
NVIDIA is the engine of AI and accelerated computing, profoundly impacting education and the world ... Build trusted relationships with executive, product, engineering, and GTM leaders at partner ...
... NVIDIA's internal product and engineering teams, supplying actionable insights from field ... executives. Experience leading technical collaborations with engineering and product teams ...
... NVIDIA's internal product and engineering teams, supplying actionable insights from field ... executives. Experience leading technical collaborations with engineering and product teams ...
NVIDIA is the engine of AI and accelerated computing, profoundly impacting education and the world ... Build trusted relationships with executive, product, engineering, and GTM leaders at partner ...
Build positive relationships with C-level executives, product leaders, architects, developers, data scientists, IT leaders, and decision-makers. * Accelerate ISV adoption of NVIDIA tools, SDKs ...
Build positive relationships with C-level executives, product leaders, architects, developers, data scientists, IT leaders, and decision-makers. * Accelerate ISV adoption of NVIDIA tools, SDKs ...
... NVIDIA software and services offerings and alignment at the business, product, and engineering levels. * Build relationships with executive and technical leaders across the ISV's organization
... NVIDIA software and services offerings and alignment at the business, product, and engineering levels. * Build relationships with executive and technical leaders across the ISV's organization
... NVIDIA's internal product and engineering teams, supplying actionable insights from field ... executives. * Experience leading technical partnerships with engineering and product teams ...
OR · On-site
... and engineering teams, engage at all executive levels both inside NVIDIA and with partners across multiple partners. What you'll be doing: * Serve as a technical advisor and problem solver with ...
... NVIDIA's internal product and engineering teams, supplying actionable insights from field ... executives. * Experience leading technical partnerships with engineering and product teams ...
... NVIDIA's internal product and engineering teams, supplying actionable insights from field ... executives. * Experience leading technical partnerships with engineering and product teams ...
... NVIDIA's internal product and engineering teams, supplying actionable insights from field ... executives. * Experience leading technical partnerships with engineering and product teams ...
... engineering and executive audiences. Preferred : • Deep familiarity with NVIDIA's accelerated AI stack, including TensorRT-LLM, NeMo, Dynamo, NIM, RAPIDS, run.ai, CUDA-X libraries, and related ...
... engineering and executive audiences. Preferred : • Deep familiarity with NVIDIA's accelerated AI stack, including TensorRT-LLM, NeMo, Dynamo, NIM, RAPIDS, run.ai, CUDA-X libraries, and related ...
... and engineering teams, engage at all executive levels both inside NVIDIA and with partners across multiple partners. What you'll be doing: * Serve as a technical advisor and problem solver with ...
... and engineering teams, engage at all executive levels both inside NVIDIA and with partners across multiple partners. What you'll be doing: * Serve as a technical advisor and problem solver with ...
OR · On-site
... NVIDIA's internal product and engineering teams, supplying actionable insights from field ... executives. Experience leading technical collaborations with engineering and product teams ...
... NVIDIA product and engineering roadmaps. Qualifications : Required : • Bachelor's or Master ... executive audiences. Preferred : • Experience architecting, integrating, and scaling joint ...
... NVIDIA product and engineering roadmaps. Qualifications : Required : • Bachelor's or Master ... executive audiences. Preferred : • Experience architecting, integrating, and scaling joint ...
Executive Nvidia Engineering information
See salary details
$26.5K - $40.8K
11% of jobs
$40.8K - $55.1K
12% of jobs
$56.8K is the 25th percentile. Wages below this are outliers.
$55.1K - $69.5K
22% of jobs
The median wage is $77.4K / yr.
$69.5K - $83.8K
10% of jobs
$83.8K - $98.1K
9% of jobs
$98.1K - $112.4K
11% of jobs
$114.6K is the 75th percentile. Wages above this are outliers.
$112.4K - $126.7K
11% of jobs
$126.7K - $141K
4% of jobs
$141K - $155.4K
11% of jobs
$155.4K - $169.7K
0% of jobs
$169.7K - $184K
1% of jobs
$26.5K
$93.6K
$184K
How much do executive nvidia engineering jobs pay per year?
As of Jun 6, 2026, the average yearly pay for executive nvidia engineering in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.
What is the difference between Executive Nvidia Engineering vs Nvidia Hardware Engineer?
| Aspect | Executive Nvidia Engineering | Nvidia Hardware Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Engineering, Business, or related fields; leadership experience | Bachelor's or Master's in Electrical, Computer, or Hardware Engineering; technical certifications |
| Work Environment | Leadership meetings, strategic planning, cross-department collaboration | Design, testing, and development of hardware components in labs or offices |
| Employer & Industry Usage | Used in corporate leadership, product strategy, and high-level project management within Nvidia | Used 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 cities are hiring for Executive Nvidia Engineering jobs? Cities with the most Executive Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most Executive Nvidia Engineering jobs? States with the most job openings for Executive Nvidia Engineering jobs include:
What job categories do people searching Executive Nvidia Engineering jobs look for? The top searched job categories for Executive Nvidia Engineering jobs are:
Full-time
Posted yesterday
Job description
JAX is the framework of choice for the most ambitious AI research, and the datacenters it runs on are evolving fast. NVIDIA supercomputers are becoming more heterogeneous combining GPUs, CPUs, and LPUs, and JAX needs to evolve to perform well across all of them. NVIDIA seeks a Senior Engineering Manager to define and drive NVIDIA's JAX strategy, coordinating multiple teams and workstreams to ensure JAX delivers peak performance across the platform, from single-accelerator workloads to hundreds of thousands of devices on the largest supercomputers ever built.
A critical part of this role is ensuring JAX is ready on next-generation architectures, including Rubin Ultra, LPUs, and the CPUs that drive them, from day one. Doing that well requires keeping up with where AI is heading. This means supporting emerging needs across training, post-training, inference, and robotics, bridging new hardware capabilities with AI trends. Come join us to build the team and technology behind the next AI breakthroughs.
What you will be doing:
What we need to see:
Ways to stand out from the crowd:
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 10, 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.
A critical part of this role is ensuring JAX is ready on next-generation architectures, including Rubin Ultra, LPUs, and the CPUs that drive them, from day one. Doing that well requires keeping up with where AI is heading. This means supporting emerging needs across training, post-training, inference, and robotics, bridging new hardware capabilities with AI trends. Come join us to build the team and technology behind the next AI breakthroughs.
What you will be doing:
- Drive the engineering contribution strategy across the JAX ecosystem stack - including JAX core, XLA, Shardy, MPMD, and application-level codebases like MaxText - prioritizing where NVIDIA's contributions create maximum impact on performance, adoption, and ecosystem influence
- Promote teamwork across organizational boundaries to shape NVIDIA's AI platform across compiler (XLA, TileIR, CUDA), runtime, networking, and hardware teams
- Build deep partnerships with key open-source projects, especially Google's JAX team - supporting our partners while representing NVIDIA's interests in shaping the project's direction
- Design processes and define clear success criteria to keep teams aligned to outcomes
- Build staffing plans, review team capacity, and make strategic hiring decisions to stay ahead of current and future needs
- Lead, grow, and mentor a high-performing engineering organization - developing technical leaders and creating space for your team to experiment, prototype, and build innovative systems that improve products and processes
What we need to see:
- MS or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
- 10+ overall years of software engineering experience, with 4+ years in engineering management or technical leadership
- Strong technical background in system software, compilers, high-performance computing, or AI frameworks
- Proven experience leading domain-level strategy and projects that span organizational boundaries, building consensus, influencing without direct authority, and tailoring communication to the audience from engineers to executives
- Track record of owning outcomes across multiple projects and teams, balancing trade-offs, and driving progress with incomplete information
- Experience identifying development cycle gaps and defining workflows across teams and organizations to improve efficiency
- Experience leading teams that contribute to large-scale projects with external collaborators
Ways to stand out from the crowd:
- Hands-on experience with JAX and its systems like XLA, HLO, PJRT, Shardy, or JAX's tracing and transformation system
- Experience leading teams working on compiler or runtime infrastructure for deep learning frameworks (JAX, PyTorch, TensorFlow or equivalent)
- Familiarity with NVIDIA's AI platform components: GPU programming, CUDA, cuDNN, NCCL, TensorRT, Transformer Engine and heterogeneous compute targets (GPU, CPU, LPU)
- Experience driving performance optimization efforts for large-scale distributed AI training, post-training (RLHF, alignment), inference, or robotics workloads (multi-node, multi-GPU)
- Experience driving framework or software bring-up on new hardware architectures, coordinating across silicon, driver, compiler, and framework teams
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 10, 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.
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