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Entry Level Gpu Engineer Jobs (NOW HIRING)

Leidos

Junior Software Engineer

Huntsville, AL · On-site

... entry-level Junior Software Engineer with the ability and experience to work multiple projects ... EO/IR phenomenology, image processing, Kalman filtering, GPU programming and/or CUDA programming ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... Experience with CUDA or GPU programming. * Exposure to autonomous driving, robotics, or real-time ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... Experience with CUDA or GPU programming. * Exposure to autonomous driving, robotics, or real-time ...

Actalent

Controls Engineer

Holly Springs, NC · On-site

$39.42 - $50/hr

Job Title: Entry Level- Traveling-Controls Engineer The Controls Engineer designs, commissions, and ... Monitor and maintain power monitoring systems that support GPU-intensive environments, helping ...

Actalent

Controls Engineer

Holly Springs, NC · On-site

$39.42 - $50/hr

Job Title: Entry Level- Traveling-Controls Engineer The Controls Engineer designs, commissions, and ... Monitor and maintain power monitoring systems that support GPU-intensive environments, helping ...

Actalent

Controls Engineer

Holly Springs, NC · On-site

$39.42 - $50/hr

Job Title: Entry Level- Traveling-Controls Engineer The Controls Engineer designs, commissions, and ... Monitor and maintain power monitoring systems that support GPU-intensive environments, helping ...

Hp

Tech Marketing & Performance Engineer

Fort Collins, CO · On-site

$65K - $101K/yr

GPU/CPU performance * ISV workflows and AI use cases Impact & Scope * Contributes through execution ... entry-level roles. * Exposure to Linux, operating systems, or systems programming preferred.

Hp

Tech Marketing & Performance Engineer

Spring, TX · On-site

$65K - $101K/yr

GPU/CPU performance * ISV workflows and AI use cases Impact & Scope * Contributes through execution ... entry-level roles. * Exposure to Linux, operating systems, or systems programming preferred.

FieldAI

Embedded Systems Engineer-Federal

Irvine, CA · On-site

$70K - $300K/yr

Monitor compute system performance across CPU, GPU, memory, I/O, and networking. What You Have ... We are recruiting across a wide range of experience levels from entry level engineers to senior and ...

FieldAI

Embedded Systems Engineer-Federal

Irvine, CA · On-site

Monitor compute system performance across CPU, GPU, memory, I/O, and networking. What You Have ... We are recruiting across a wide range of experience levels from entry level engineers to senior and ...

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Entry Level Gpu Engineer information

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$40.5K

$86.4K

$142.5K

How much do entry level gpu engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for entry level gpu engineer in the United States is $86,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $103,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Gpu Engineer vs Entry Level Hardware Engineer?

AspectEntry Level Gpu EngineerEntry Level Hardware Engineer
Required CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related field; knowledge of GPU architectureBachelor's in Electrical Engineering, Computer Engineering, or related; understanding of hardware design
Work EnvironmentDesigning and optimizing GPU hardware and software; collaborating with software teamsDeveloping and testing various hardware components; working in labs or manufacturing settings
Industry UsagePrimarily in graphics, gaming, AI, and high-performance computing sectorsBroadly in electronics, consumer devices, and industrial equipment

While both roles require a background in electrical or computer engineering, Entry Level Gpu Engineers focus on GPU-specific hardware and software development, often within graphics and AI industries. Entry Level Hardware Engineers have a broader scope, working on various hardware components across multiple sectors. The roles differ mainly in specialization and application focus.

What are the key skills and qualifications needed to thrive as an Entry Level GPU Engineer, and why are they important?

To thrive as an Entry Level GPU Engineer, you need a solid background in computer engineering or computer science, with strong programming skills in C/C++ and an understanding of graphics algorithms or parallel computing. Familiarity with GPU programming frameworks like CUDA or OpenCL, and experience using development tools such as debuggers and profilers, are typically required. Analytical thinking, problem-solving abilities, and effective teamwork are important soft skills that help navigate complex technical challenges. These skills and qualities are essential for developing efficient GPU solutions and contributing to collaborative engineering projects.

What does an Entry Level GPU Engineer do?

An Entry Level GPU Engineer assists in designing, developing, and testing graphics processing units (GPUs) and related software. They typically work on low-level programming, debugging hardware issues, and optimizing performance under the guidance of more experienced engineers. Their role may also include writing drivers, collaborating with hardware and software teams, and learning industry-standard tools and processes. This position is a great starting point for those interested in computer graphics, parallel computing, or hardware engineering.

What are some typical projects an Entry Level GPU Engineer might work on during their first year?

As an Entry Level GPU Engineer, you might assist with optimizing graphics drivers, debugging performance issues, or supporting the development of new GPU features alongside senior engineers. You could also be involved in testing and validating hardware or software components, writing scripts for automation, and contributing to documentation. These projects provide valuable experience in GPU architecture and software-hardware interaction, while also fostering collaboration with cross-functional teams such as software developers, QA engineers, and hardware designers.
More about Entry Level Gpu Engineer jobs
What cities are hiring for Entry Level Gpu Engineer jobs? Cities with the most Entry Level Gpu Engineer job openings:
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What job categories do people searching Entry Level Gpu Engineer jobs look for? The top searched job categories for Entry Level Gpu Engineer jobs are:
Entry Level Gpu Engineer jobs near you
Infographic showing various Entry Level Gpu Engineer job openings in the United States as of July 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $86,381 per year, or $41.5 per hour.

Software Engineer - Software Engineer - GPU, C++, OpenCL, CUDA

Hudson Manpower

Waukesha, WI • On-site

Contractor

Posted 18 days ago

Job description

Position: Software Engineer - GPU, C++, OpenCL, CUDA
Location: Waukesha, WI (Onsite)
Exp: 5 - 9 yrs
Key Skills: GPU, C++, OpenCL, CUDA, OneAPI, Matlab
Only USC / GC
Job Requirements
The CT Program is working on upgrading CT scanners used worldwide. The center is currently concentrating on the ongoing enhancement of the next generation of CT machines, including their essential workflows and applications. For that purpose, proficient and experienced resources are required.
Primary Objective:
  1. Leverage proprietary software platform to implement image processing algorithms on GPUs. (C++/OpenCL/CUDA/OneAPI)
  2. Improve image chain performance using heterogeneous high-performance computing (HPC) to meet customer expectations
  3. Ensure quality and compliance of productized code per regulatory expectations

Detailed Requirements:
  1. Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, or OpenCL to CUDA
  2. Improved image chain & algorithm performance compared to initial benchmarks
  3. Perform GPU profiling, identify algorithm bottlenecks, troubleshoot and resolve performance issues
  4. Improve GPU utilization leveraging heterogenous HPC knowledge.
  5. Perform testing, reliability analysis, performance benchmarks and document results
  6. Execute test procedures with high quality and rigor, following Good Documentation Practices

Work Experience
Skills:
  1. Programming Languages: C++, OpenCL, CUDA, OneAPI
  2. Image Processing Algorithms: Implementation and optimization on GPUs
  3. High-Performance Computing (HPC): Knowledge of heterogeneous HPC
  4. Profiling and Performance Analysis: GPU profiling, identifying bottlenecks, troubleshooting, and resolving performance issues
  5. Testing and Documentation: Performing testing, reliability analysis, performance benchmarks, and documenting results following Good Documentation Practices

Additional Experience:
Productizing Algorithms: Experience in productizing CT image processing algorithms on GPU
Porting Algorithms: Experience in porting algorithms from Matlab to GPU or OpenCL to CUDA
Improving Performance: Proven track record of improving image chain and algorithm performance compared to initial benchmarks
Quality and Compliance: Ensuring quality and compliance of productized code per regulatory expectations
Best regards,
Prasad Kalsekar | Hudson Manpower
Email: prasad@hudsonmanpower.com

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