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Gpu Entry Level Jobs (NOW HIRING)

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$25K

$47.8K

$68.5K

How much do gpu entry level jobs pay per year?

As of Sep 13, 2026, the average yearly pay for gpu entry level in the United States is $47,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What is a GPU entry level?

GPU entry-level jobs are positions designed for individuals who are new to working with graphics processing units (GPUs) and related technologies. These roles typically involve assisting in the development, testing, or optimization of GPU hardware or software, and may include tasks such as programming, debugging, or supporting graphics applications. Candidates often have a background in computer science, electrical engineering, or a related field, but may not require extensive professional experience. Entry-level GPU jobs are a great way to gain hands-on experience and build skills in areas like parallel computing, 3D graphics, and machine learning using GPUs.

What are the key skills and qualifications needed to thrive as an entry-level GPU engineer?

To thrive as an Entry-Level GPU Engineer, you typically need a solid background in computer science or electrical engineering, with knowledge of graphics programming languages such as CUDA or OpenCL. Familiarity with GPU architectures, hardware debugging tools, and version control systems like Git is often required. Strong problem-solving skills, attention to detail, and the ability to work collaboratively are important soft skills in this role. These competencies ensure effective development and optimization of GPU solutions, contributing to the performance and reliability of graphics and computing applications.

What are some typical challenges faced by entry-level GPU engineers, and how can they overcome them?

Entry-level GPU engineers often encounter challenges such as getting familiar with complex hardware architectures, optimizing code for parallel processing, and debugging performance issues. To overcome these, it's helpful to actively seek mentorship, participate in code reviews, and use profiling tools to analyze performance bottlenecks. Collaborating with more experienced team members and staying updated with the latest GPU development practices can significantly ease the learning curve and foster professional growth.

What is the difference between Gpu Entry Level vs Gpu Technician?

AspectGpu Entry LevelGpu Technician
Required CredentialsHigh school diploma or equivalent; basic understanding of GPU hardwareAssociate degree or certification in computer hardware or electronics; technical training
Work EnvironmentEntry-level positions, often in retail or support rolesTechnical repair shops, data centers, or manufacturing facilities
Industry UsageCustomer support, basic troubleshootingHardware diagnostics, repairs, and maintenance

The main difference is that Gpu Entry Level roles focus on basic support and customer service, while Gpu Technicians perform hands-on hardware repairs and diagnostics. Gpu Technicians typically require more technical training and certifications, working in specialized environments. Both roles are essential in the GPU industry but differ in complexity and responsibilities.

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Gpu Entry Level jobs near you
Infographic showing various Gpu Entry Level job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.

Board Level Test Engineer

Santa Clara, CA • On-site

SIGNin Solutions Inc.
See more jobs at SIGNin Solutions Inc.external

Other

Posted 5 days ago

Job description

Board Level Test Engineer

Location: Santa Clara, CA- 100% onsite

  • Opening: 6 (4 seniors, 2 NCG s)
  • High Priority
    We are now open for entry level profiles, with strong expertise in Python and EE hardware. Please share BSEE/MSEE candidates only. Candidate must be open to attend 2 rounds of Python coding assessment.
    Key Responsibilities
    Perform first-level hardware triage and troubleshooting for PCs and server platforms.
    Design and implement diagnostic tools and scripts for early hardware validation and fault isolation.
    Identify and resolve setup issues and test failures using structured troubleshooting methodologies.
    Develop and maintain test automation using Shell and Python scripting.
    Work with motherboards and GPU platforms in lab environments.
    Work with systems connected by various networking protocols, including Ethernet, NVLink and InfiniBand.
    Operate in Windows and Linux operating systems for test and debug tasks.
    Collaborate with cross-functional teams to support diagnostics, validation, and smooth product transitions in the NPI cycle.
    Required Skills & Qualifications
    BS Degree in Electrical Engineering or equivalent.
    Strong scripting skills in Python and Shell.
    Familiarity with Windows and Linux OS environments.
    Working knowledge of hardware protocols: Ethernet, InfiniBand, PCIe, USB, HDMI, I2C, SPI.
    Experience with CPUs and GPUs.
    Proficient in using test equipment for diagnostics and validation.
    Strong analytical, troubleshooting, and problem-solving skills.
    Excellent communication and teamwork skills.
    Linux or scripting experience is a huge plus.

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