Gpu Profiling Engineer information
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$52.5K - $61.3K
3% of jobs
$78.5K is the 25th percentile. Wages below this are outliers.
$70K - $78.8K
7% of jobs
$78.8K - $87.6K
1% of jobs
$87.6K - $96.4K
4% of jobs
$96.4K - $105.1K
8% of jobs
$105.1K - $113.9K
9% of jobs
The median wage is $115K / yr.
$113.9K - $122.7K
13% of jobs
$129.9K is the 75th percentile. Wages above this are outliers.
$122.7K - $131.5K
17% of jobs
$131.5K - $140.2K
14% of jobs
$140.2K - $149K
8% of jobs
How much do gpu profiling engineer jobs pay per year?
As of Sep 11, 2026, the average yearly pay for gpu profiling engineer in the United States is $108,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $131,500.00 per year, depending on experience, location, and employer.
A GPU Profiling Engineer specializes in analyzing and optimizing the performance of graphics processing units (GPUs) in software and hardware systems. They use profiling tools to monitor GPU utilization, identify bottlenecks, and recommend improvements to boost efficiency and speed. Their work is critical in industries like gaming, AI, and scientific computing, where high GPU performance is essential. Typically, they collaborate with software developers and hardware engineers, ensuring applications make the most effective use of GPU resources.
To thrive as a GPU Profiling Engineer, you need a strong background in computer science, graphics programming, and performance analysis, usually supported by a relevant degree. Proficiency with profiling tools like NVIDIA Nsight, AMD Radeon GPU Profiler, and familiarity with graphics APIs such as Vulkan or DirectX is typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with development teams. These competencies ensure efficient GPU performance optimization, enabling high-quality graphics and smooth application experiences.
GPU Profiling Engineers often encounter challenges such as identifying performance bottlenecks caused by inefficient memory access patterns, thread divergence, or suboptimal kernel usage. Analyzing complex profiling data and translating it into actionable optimization steps requires a deep understanding of both hardware and software. Additionally, collaborating closely with development and QA teams to test and refine optimizations is a critical part of the role, as changes can have wide-ranging impacts on application stability and speed.
What are popular job titles related to Gpu Profiling Engineer jobs?
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