... Engineer to enhance performance in AI and high-performance computing within financial markets ... NVIDIA research, hardware, compiler, and tools teams. Qualifications : Required : • Pursuing or ...
... Engineer to enhance performance in AI and high-performance computing within financial markets ... NVIDIA research, hardware, compiler, and tools teams. Qualifications : Required : • Pursuing or ...
We are recruiting across a wide range of experience levels from entry level engineers to senior and ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...
Quick apply
We are recruiting across a wide range of experience levels from entry level engineers to senior and ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...
Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams. What we ...
Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams. What we ...
Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026
Santa Clara, CA · On-site
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For ... Collaborate closely with hardware architects and design teams to feedback software observations ...
Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026
Santa Clara, CA · On-site
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For ... Collaborate closely with hardware architects and design teams to feedback software observations ...
System Software Engineer - Tegra
Santa Clara, CA · On-site
$203.20K - $240.80K/yr
... for NVIDIA SOC and GPU hardware * Architecting and driving new diagnostic software solutions that ... Strong C/C++ programming skills and object-oriented programming skills. * Experience with low level ...
System Software Engineer - Tegra
Santa Clara, CA · On-site
$203.20K - $240.80K/yr
... for NVIDIA SOC and GPU hardware * Architecting and driving new diagnostic software solutions that ... Strong C/C++ programming skills and object-oriented programming skills. * Experience with low level ...
OR · On-site
This Field Applications Engineering role is for a specialist in system design, networking and ... of NVIDIA AI solutions. * Solving complex hardware and deployment issues * Be a technical ...
... NVIDIA AI solutions. • Solving complex hardware and deployment issues • Be a technical ... Required : • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or ...
... NVIDIA AI solutions. • Solving complex hardware and deployment issues • Be a technical ... Required : • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or ...
This Field Applications Engineering role is for a specialist in system design, networking and ... of NVIDIA AI solutions. * Solving complex hardware and deployment issues * Be a technical ...
This Field Applications Engineering role is for a specialist in system design, networking and ... of NVIDIA AI solutions. * Solving complex hardware and deployment issues * Be a technical ...
This Field Applications Engineering role is for a specialist in system design, networking and ... of NVIDIA AI solutions. * Solving complex hardware and deployment issues * Be a technical ...
This Field Applications Engineering role is for a specialist in system design, networking and ... of NVIDIA AI solutions. * Solving complex hardware and deployment issues * Be a technical ...
This Field Applications Engineering role is for a specialist in system design, networking and ... of NVIDIA AI solutions. * Solving complex hardware and deployment issues * Be a technical ...
This Field Applications Engineering role is for a specialist in system design, networking and ... of NVIDIA AI solutions. * Solving complex hardware and deployment issues * Be a technical ...
... NVIDIA AI solutions. • Solving complex hardware and deployment issues • Be a technical ... Required : • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or ...
... NVIDIA AI solutions. • Solving complex hardware and deployment issues • Be a technical ... Required : • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Collaborate with hardware and product design teams to build software for sophisticated SOC platform ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Collaborate with hardware and product design teams to build software for sophisticated SOC platform ...
NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to ... Understand, analyze, profile, and optimize AI training workloads on innovative hardware and ...
NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to ... Understand, analyze, profile, and optimize AI training workloads on innovative hardware and ...
Work on NVIDIA Engineering boards, tester system to support gaming / workstation / compute GPU cards during NPI and in production * Work with cross-functional teams (including Hardware Design ...
Work on NVIDIA Engineering boards, tester system to support gaming / workstation / compute GPU cards during NPI and in production * Work with cross-functional teams (including Hardware Design ...
Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026
Santa Clara, CA · On-site
NVIDIA is a leader in visual and AI computing, known for its pioneering work with GPUs. They are ... hardware architects and design teams to feedback software observations, influence future ...
Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026
Santa Clara, CA · On-site
NVIDIA is a leader in visual and AI computing, known for its pioneering work with GPUs. They are ... hardware architects and design teams to feedback software observations, influence future ...
System Software Engineer - GPU
Santa Clara, CA · On-site
$203.20K - $240.80K/yr
Working closely with architecture, hardware and driver teams through the product development life ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...
System Software Engineer - GPU
Santa Clara, CA · On-site
$203.20K - $240.80K/yr
Working closely with architecture, hardware and driver teams through the product development life ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...
... hardware platforms, along with many scientific researchers, developers, and customers to craft ... NVIDIA is widely considered to be one of the technology world's most desirable employers. We have ...
New
... hardware platforms, along with many scientific researchers, developers, and customers to craft ... NVIDIA is widely considered to be one of the technology world's most desirable employers. We have ...
New
... Engineer. The role focuses on providing technical support for large datacenter deployments of ... NVIDIA AI solutions. • Solving complex hardware and deployment issues • Be a technical ...
... Engineer. The role focuses on providing technical support for large datacenter deployments of ... NVIDIA AI solutions. • Solving complex hardware and deployment issues • Be a technical ...
Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams. What we ...
Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams. What we ...
This Field Applications Engineering role is for a specialist in system design, networking and ... of NVIDIA AI solutions. * Solving complex hardware and deployment issues * Be a technical ...
This Field Applications Engineering role is for a specialist in system design, networking and ... of NVIDIA AI solutions. * Solving complex hardware and deployment issues * Be a technical ...
Entry Level Nvidia Hardware Engineer information
See salary details
$51K - $64.2K
0% of jobs
$64.2K - $77.5K
2% of jobs
$77.5K - $90.7K
5% of jobs
$90.7K - $103.9K
7% of jobs
$103.9K - $117.1K
6% of jobs
$125.4K is the 25th percentile. Wages below this are outliers.
$117.1K - $130.4K
6% of jobs
$130.4K - $143.6K
5% of jobs
$143.6K - $156.8K
5% of jobs
The median wage is $159.6K / yr.
$156.8K - $170K
57% of jobs
$170K - $183.3K
3% of jobs
$183.3K - $196.5K
2% of jobs
$51K
$146.2K
$196.5K
How much do entry level nvidia hardware engineer jobs pay per year?
As of May 29, 2026, the average yearly pay for entry level nvidia hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.
What is the difference between Entry Level Nvidia Hardware Engineer vs Entry Level Nvidia Software Engineer?
| Aspect | Entry Level Nvidia Hardware Engineer | Entry Level Nvidia Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's in Electrical Engineering, Computer Engineering, or related field | Bachelor's in Computer Science, Software Engineering, or related field |
| Work Environment | Designing and testing hardware components, working in labs and on hardware prototypes | Developing, testing, and optimizing software for Nvidia products, working in software development environments |
| Employer & Industry Usage | Primarily in hardware R&D, manufacturing, and product design within Nvidia and semiconductor industry | In software development teams, focusing on drivers, APIs, and application software for Nvidia hardware |
Both roles require a strong technical background and collaboration with cross-disciplinary teams. Hardware engineers focus on physical components and circuit design, while software engineers develop the code that runs on Nvidia hardware. Understanding the differences helps candidates target their skills and career goals effectively.
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What job categories do people searching Entry Level Nvidia Hardware Engineer jobs look for? The top searched job categories for Entry Level Nvidia Hardware Engineer jobs are:
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Full-time
Posted 19 days ago
Job description
Job Summary:
NVIDIA is a leader in visual and AI computing, known for its pioneering work with GPUs. They are seeking an AI Developer Technology Engineer to enhance performance in AI and high-performance computing within financial markets, focusing on optimizing complex workloads and collaborating with industry experts.
Responsibilities:
• Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.
• Working with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
• Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior.
• Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.
• Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.
Qualifications:
Required:
• Pursuing or recently completed a Master’s or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or related field.
• Relevant work or research experience.
• Experience with low-level parallel programming (e.g., CUDA).
• Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
• Fluency in C/C++ and solid foundations in algorithms and software design.
• Experience improving the performance of large-scale computational applications on GPUs.
• Good understanding of linear algebra.
• Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.
Preferred:
• Prior internship experience in a related field.
• Experience with inference optimization techniques and deploying optimized AI models in production.
• Experience with TensorRT, TensorRT-LLM, and cuTile.
• Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading.
• Experience parallelizing and optimizing machine learning methods such as decision trees, time series models, and Monte Carlo simulations as well as knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA is a leader in visual and AI computing, known for its pioneering work with GPUs. They are seeking an AI Developer Technology Engineer to enhance performance in AI and high-performance computing within financial markets, focusing on optimizing complex workloads and collaborating with industry experts.
Responsibilities:
• Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.
• Working with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
• Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior.
• Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.
• Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.
Qualifications:
Required:
• Pursuing or recently completed a Master’s or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or related field.
• Relevant work or research experience.
• Experience with low-level parallel programming (e.g., CUDA).
• Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
• Fluency in C/C++ and solid foundations in algorithms and software design.
• Experience improving the performance of large-scale computational applications on GPUs.
• Good understanding of linear algebra.
• Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.
Preferred:
• Prior internship experience in a related field.
• Experience with inference optimization techniques and deploying optimized AI models in production.
• Experience with TensorRT, TensorRT-LLM, and cuTile.
• Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading.
• Experience parallelizing and optimizing machine learning methods such as decision trees, time series models, and Monte Carlo simulations as well as knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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