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Entry Level Nvidia Hardware Engineer Jobs in Raleigh, NC

Qualcomm

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

... * 3+ years Hardware Engineering experience defining architecture of GPUs or accelerators used for training of AI models * In-depth knowledge of nVidia/AMD GPU capabilities and architectures

Renesas Electronics

Analog Engineer

Morrisville, NC · On-site

$189K/yr

Company Description Entry Level - Electrical Engineering or related field. Bachelor's degree with ... You will have the opportunities to explore our hardware and software capabilities and try new ...

Renesas Electronics

Analog Engineer

Morrisville, NC · Hybrid

$189K/yr

Entry Level - Electrical Engineering or related field. Bachelor's degree with up to 2 years of ... You will have the opportunities to explore our hardware and software capabilities and try new ...

Renesas Electronics

Analog Engineer

Morrisville, NC · Hybrid

$189K/yr

Entry Level - Electrical Engineering or related field. Bachelor's degree with up to 2 years of ... You will have the opportunities to explore our hardware and software capabilities and try new ...

Renesas Electronics

Digital Engineer

Morrisville, NC · On-site

$127K/yr

HYBRID - Morrisville, NC Entry level role - We are only considering candidates BS with up to 2 ... You will have the opportunities to explore our hardware and software capabilities and try new ...

Renesas Electronics

Digital Engineer

Morrisville, NC · On-site

$127K/yr

Company Description HYBRID - Morrisville, NC Entry level role - We are only considering candidates ... You will have the opportunities to explore our hardware and software capabilities and try new ...

Renesas Electronics

Digital Engineer

Morrisville, NC · On-site

$127K/yr

HYBRID - Morrisville, NC Entry level role - We are only considering candidates BS with up to 2 ... You will have the opportunities to explore our hardware and software capabilities and try new ...

All JobsEntry Level Nvidia Hardware Engineer JobsEntry Level Nvidia Hardware Engineer Jobs in Raleigh, NC

Entry Level Nvidia Hardware Engineer information

See Raleigh, NC salary details

$49.6K

$142.1K

$191K

How much do entry level nvidia hardware engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for entry level nvidia hardware engineer in Raleigh, NC is $142,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $158,400.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Nvidia Hardware Engineer vs Entry Level Nvidia Software Engineer?

AspectEntry Level Nvidia Hardware EngineerEntry Level Nvidia Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentDesigning and testing hardware components, working in labs and on hardware prototypesDeveloping, testing, and optimizing software for Nvidia products, working in software development environments
Employer & Industry UsagePrimarily in hardware R&D, manufacturing, and product design within Nvidia and semiconductor industryIn 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.

What are the most commonly searched types of Nvidia Hardware Engineer jobs in Raleigh, NC? The most popular types of Nvidia Hardware Engineer jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Nvidia Hardware Engineer jobs in Raleigh, NC? For Entry Level Nvidia Hardware Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Nvidia Hardware Engineer jobs in Raleigh, NC look for? The top searched job categories for Entry Level Nvidia Hardware Engineer jobs in Raleigh, NC are:
Entry Level Nvidia Hardware Engineer jobs near you
Systems Performance Engineer, Agentic AI Workloads - New College Grad 2026

Systems Performance Engineer, Agentic AI Workloads - New College Grad 2026

Nvidia

Durham, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

NVIDIA is looking for a Deep Learning Architect to join our team working at the cutting edge of AI infrastructure. As agentic LLM workloads reshape the demands placed on modern datacenters, we need engineers who can model, simulate, and reason about complex system-level traffic at scale. If you have a passion for performance analysis, a strong quantitative foundation, and excitement about the future of AI systems, we'd love to talk.


In this role, you will build and run simulations that capture the traffic dynamics of agentic AI workloads, mine the results for actionable insights, and help guide architectural decisions for next-generation datacenter and GPU systems.
What you'll be doing:

  • Develop and extend C++ and Python simulators that model system-level network and compute traffic for agentic LLM workloads in datacenter environments

  • Characterize real-world LLM serving workloads and distill them into representative simulator inputs

  • Run simulations at scale and apply statistical techniques to post-process and interpret results

  • Identify performance bottlenecks and translate findings into concrete architectural recommendations

  • Collaborate with hardware, software, and research teams to influence the design of future AI systems

What we need to see:

  • Pursuing or recently completed a MS, or PhD in CS, EE, Mathematics, or a related field (or equivalent experience)

  • Strong programming skills in C++ and Python

  • Solid foundations in queueing theory and traffic modeling (e.g., Erlang models, Little's Law)

  • Strong statistics background: characterize huge datasets with percentiles, distributions, and clustering techniques such as K-means

  • Understanding of deep learning fundamentals, LLMs, and modern inference serving frameworks

Ways to stand out from the crowd:

  • Hands-on experience with traffic or network simulators, even in an academic or course project context

  • Familiarity with roofline modeling and performance scaling of deep learning models at the kernel level

  • Experience running large-scale simulation campaigns and building data pipelines to process and visualize results

  • Prior work characterizing or benchmarking ML inference workloads

NVIDIA is widely considered one of the technology world's most desirable employers. We work on problems that matter - and we do it with some of the most talented engineers on the planet. If you're analytically sharp, intellectually curious, and ready to have real impact, 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 7, 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.
Nvidia logo

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

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