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Cuda Engineer information

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$38.4K

$112.8K

$144.6K

How much do cuda engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for cuda engineer in Colorado is $112,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What are CUDA Engineers?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What are some common challenges faced by CUDA Engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What are the key skills and qualifications needed to thrive as a CUDA Engineer, and why are they important?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.
What are popular job titles related to Cuda Engineer jobs in Colorado? For Cuda Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer jobs in Colorado look for? The top searched job categories for Cuda Engineer jobs in Colorado are:
What cities in Colorado are hiring for Cuda Engineer jobs? Cities in Colorado with the most Cuda Engineer job openings:
Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Colorado as of July 2026, with employment types broken down into 3% As Needed, 63% Full Time, 4% Part Time, 18% Temporary, 2% Contract, and 10% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $112,809 per year, or $54.2 per hour.

Regional Software Engineer, CUDA

Trace3

Colorado Springs, CO • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. The Senior Principal Software Engineer supports the DARC program, providing technical expertise in software architecture, development methodologies, system integration, and emerging technologies.
Responsibilities:
• Designs, develops, documents, tests, and debugs applications software, and systems that contain logical and mathematical solutions.
• Conducts multidisciplinary research and collaborates with equipment designers and/or hardware engineers in the planning, design, development, and utilization of electronic data processing systems for product and commercial software.
• Determines computer user needs; analyzes system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques, and controls; prepares operating instructions; designs and develops compilers and assemblers, utility programs, and operating systems.
• Ensures software standards are met.
• Establish and maintain software development standards, coding guidelines, and best practices.
• Evaluate and recommend new technologies, tools, and frameworks to improve system capabilities and development efficiency.
• Support Agile development processes including sprint planning, backlog grooming, and technical reviews.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related technical field.
• 5+ years of software engineering experience including enterprise system development.
• Active DoD Secret clearance at the time of application
• At least 2 years of experience with CUDA, including libraries like cuFFT and cuBLAS
• At least 5 years of experience with C++
• At least 2 years of experience with Linux
• Experience with some form of signal data processing
• Self-starter, able to take minimal direction and go off on their own
Preferred:
• Experience with radar systems
• Experience with radar signal processing
• Experience with NVIDIA MatX library
• Experience with Docker or podman
Company:
Trace3 is a technology consultancy that provides IT strategies, business transformation solutions, and services for the clients. Founded in 2002, the company is headquartered in Irvine, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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