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Entry Level Gpu Engineer Jobs (NOW HIRING)

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 ...

Software Engineer I

Mountain View, CA · On-site

$116K - $174K/yr

Profile and optimize code to ensure efficient use of limited CPU, GPU, and memory resources on the ... LI-Entry-Level Working at Aurora At Aurora, we bring together extraordinarily talented and ...

You will also work closely with Software Engineers on the development, deployment, and improvement ... Performance based monthly bonus averaging at 10-15% at entry level ( contingent on financial ...

You will also work closely with Software Engineers on the development, deployment, and improvement ... Performance based monthly bonus averaging at 10-15% at entry level ( contingent on financial ...

You will also work closely with Software Engineers on the development, deployment, and improvement ... Performance based monthly bonus averaging at 10-15% at entry level ( contingent on financial ...

Content Designer

San Jose, CA · On-site

$33 - $45/hr

We are seeking a Content Designer and an entry-level industry writer to own the production of ... Understanding of CPU and GPU general technology Qualifications: * 2+ Years of high-intensity ...

We are a group of visionaries, talented engineers, and entrepreneurs hell-bent on providing the ... Experience: Entry Level * Part-Time with the ability to increase to Full-time based on performance ...

SDR, Tavily

Austin, TX · On-site

$71K - $89K/yr

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we ... entry-level candidates). * You are in Austin and excited about an in-person office environment ...

This is an entry-level role designed for a young generalist who wants to enter a fast- moving AI ... Genuinely curious about AI, GPU infrastructure, and emerging technology * Comfortable in a fast ...

This is an entry-level role designed for a young generalist who wants to enter a fast- moving AI ... Genuinely curious about AI, GPU infrastructure, and emerging technology * Comfortable in a fast ...

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Entry Level Gpu Engineer information

See salary details

$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:
What are the most commonly searched types of Gpu Engineer jobs? The most popular types of Gpu Engineer jobs are:
What states have the most Entry Level Gpu Engineer jobs? States with the most job openings for Entry Level Gpu Engineer jobs include:
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:
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, Intelligent Systems

Software Engineer, Intelligent Systems

Virginia Polytechnic Institute and State University

Arlington, VA • On-site

$90K/yr

Full-time

Posted 5 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

204th of 560 rated colleges and universities


Job description

Software Engineer, Intelligent Systems
Job no: 536444
Work type: Administrative & Professional
Senior management: Vice President for Research
Department: VTNSI
Location: Arlington, Virginia
Categories: Information Systems / Technology, Research / Scientific
Job Description
The Virginia Tech National Security Institute (VTNSI) is a national leader in advancing security and resilience through innovative and applied research, empowering the next generation of experts, and building strategic alliances to address evolving national security challenges. We bring together exceptional interdisciplinary faculty, unique research infrastructure, and deep partnerships with industry and government sponsors to execute impactful research and development.
The Virginia Tech National Security Institute's (VTNSI) Intelligent Systems Division (ISD) is seeking to fill an entry-level/junior-level software developer position to join our team at the forefront of research and development on artificial intelligence and systems engineering.
With a presence in both Blacksburg and Washington, D.C. metro areas, VTNSI serves dual missions of (1) performing cutting-edge research and development for externally sponsored Department of Defense and Intelligence Community programs and (2) cultivating the next generation of national security workforce and thought leaders by engaging students in curricular, extracurricular, and research and development opportunities. As one of the fastest growing thematic research institutes at Virginia Tech, sponsors and collaborators benefit from VTNSI through both highly experienced student talent pipelines and senior technical leadership that addresses some of our nation's greatest national security challenges and threats.
VTNSI's ISD is a leader in research and development in three core capabilities: 1) secure and resilient systems, 2) engineering AI systems, and 3) integrated data and decision systems.
To help achieve the overarching aspirations of VTNSI, and the specific technical goals of the ISD, we are looking for applicants with expertise in software development and an interest in working on team-based development projects. An interest in the development of AI-based systems is required while prior knowledge in the area is not. General activities of this position will consist of:
• Software development tasks across 2-3 programs primarily focused on artificial intelligence
• Learn about the underlying technical concepts of assigned programs (through both independent learning as well as through program mentors)
• Participation in weekly program meetings and periodic sponsor meetings (requiring oral and/or written updates)
• Thorough test, evaluation, and documentation of developed software
• (As desired) Opportunities to participate in research paper writing and business development proposal writing
Required Qualifications
- A Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related STEM discipline to the position summary.
- Strong communication skills.
- Proficiency in software development and familiarity with best coding practices in one or more of the following programming languages: C++, Python.
- Familiarity with Continuous Integration/Continuous Development (CI/CD) processes for code development, test and evaluation.
- Familiarity with version control tools (e.g., Git).
- Demonstrated ability and willingness to work as a member of a development team in executing sponsored projects.
- Given the nature of the research and requirements from federal sponsors, the candidate must be a U.S. citizen.
- Demonstrated ability and willingness to document and define test cases for developed software.
- Ability to obtain and maintain a security clearance.
Preferred Qualifications
- U.S. Security Clearance at the Secret level or higher.
- Proficiency in Linux and Docker - Familiarity with GPU-based code development (e.g., CUDA).
- Familiarity with AI/ML development concepts such as RL, RAG, MCP, Agentic AI, multi-modal learning, etc.
- Familiarity with AI/ML development tools such as PyTorch, Keras, Tensorflow, LangChain, etc.
- Proficiency in developing web and/or non-web based graphical user interfaces (GUIs) utilizing frameworks such as React, Vue, Qt, etc.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
Starting at $90,000; commensurate with experience
Hours per week
40 hours per week
Review Date
July 27, 2026
Additional Information
Due to the nature of the Institute's work, all candidates must be US citizens.
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Sue Kass at sjkass@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: May 19, 2026
Applications close:
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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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