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Cuda Engineer Jobs in Colorado (NOW HIRING)

EOI Space

Staff Software Engineer - Payload

Lafayette, CO · On-site

$170K - $220K/yr

NVIDIA Jetson and CUDA programming experience * Container building and optimization experience * Experience building and optimizing scalable distributed image processing workflows Compensation: The ...

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Cuda Engineer information

See Colorado salary details

$38.4K

$112.8K

$144.6K

How much do cuda engineer jobs pay per year?

As of Aug 25, 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 is a CUDA engineer?

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 are the key skills and qualifications needed to thrive as a CUDA engineer?

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 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 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 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 August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,809 per year, or $54.2 per hour.

Regional Software Engineer, CUDA

Colorado Springs, CO • On-site

Trace3
1 - 5K employees
Learn more about Trace3external

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

JOB SUMMARY:

The Senior Principal Software Engineer supports the DARC program based in Colorado Springs, Colorado. This role provides technical expertise in software architecture, development methodologies, system integration, and emerging technologies.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

  • 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.

 

REQUIRED SKILLS AND EXPERIENCE:

  • 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
  • Experience with radar systems preferred
  • Experience with radar signal processing preferred
  • Experience with NVIDIA MatX library preferred
  • Experience with Docker or podman preferred
  • Self-starter, able to take minimal direction and go off on their own

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

While performing the duties of this job, the employee is regularly required to:

  • Remain in a stationary position for extended periods of time.
  • Operate a computer, keyboard, and other office equipment using hands and fingers.
  • Communicate effectively in person, over the phone, and through electronic means.
  • Occasionally move about the office to access files, office equipment, and meeting spaces.
  • Lift and/or move up to 15 pounds as needed.
  • Maintain specific vision abilities, including close vision and the ability to adjust focus.

 

WORK ENVIRONMENT:

If working at a Trace3 office, the employee is frequently surrounded by other employees and their conversations on the telephone and in person.  The noise level and indoor office temperature may vary.   

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