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Cuda Jobs in Colorado (NOW HIRING)

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$117.2K

$216.6K

How much do cuda jobs pay per year?

As of Aug 7, 2026, the average yearly pay for cuda in Colorado is $210,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $215,600.00 and $215,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a CUDA developer, and how can they be addressed?

CUDA Developers often encounter challenges such as debugging complex parallel code, optimizing memory usage, and ensuring compatibility across different GPU architectures. To address these, it's important to leverage profiling tools like NVIDIA Nsight to identify bottlenecks and inefficiencies. Collaborating closely with team members, such as data scientists and software engineers, can also help in resolving integration issues and achieving better performance. Staying updated with the latest CUDA Toolkit releases and best practices is key to overcoming these challenges and delivering robust GPU-accelerated applications.

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

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and experience with GPU architectures. Familiarity with the CUDA toolkit, NVIDIA GPUs, and related profiling/debugging tools is typically required, and certifications in GPU programming can be advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills for optimizing code and collaborating with cross-functional teams. These skills are crucial for developing high-performance applications that leverage GPU acceleration, ensuring efficiency and innovation in compute-intensive fields.

What is the difference between Cuda vs GPU Developer?

AspectCudaGPU Developer
Required CredentialsKnowledge of CUDA programming, often with a background in computer science or engineeringExperience with GPU programming, CUDA, OpenCL, or similar; often requires a degree in computer science or related fields
Work EnvironmentPrimarily focused on developing and optimizing CUDA-based applications for NVIDIA GPUsDesigning, developing, and maintaining GPU-accelerated applications across various platforms and hardware
Industry UsageUsed mainly in high-performance computing, AI, and scientific research involving NVIDIA GPUsApplied across gaming, scientific computing, AI, and multimedia industries

In summary, CUDA is a specialized skill set focused on programming NVIDIA GPUs using CUDA, while a GPU Developer has a broader role that may include using various GPU programming tools and working across multiple platforms. CUDA is a subset of the skills a GPU Developer might possess, making them closely related but distinct roles.

What is a CUDA developer?

A CUDA job typically involves developing, optimizing, and implementing parallel computing applications using NVIDIA's CUDA platform. CUDA (Compute Unified Device Architecture) enables developers to leverage the power of GPUs for high-performance computing tasks such as deep learning, simulations, and scientific computing. Professionals in this role often work with C, C++, or Python, using CUDA libraries and frameworks to accelerate processing. Strong knowledge of parallel programming, memory management, and GPU architecture is essential for success in this field.

What are the most commonly searched types of Cuda jobs in Colorado? The most popular types of Cuda jobs in Colorado are:
What job categories do people searching Cuda jobs in Colorado look for? The top searched job categories for Cuda jobs in Colorado are:
Cuda jobs near you
Infographic showing various Cuda job openings in Colorado as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $210,840 per year, or $101.4 per hour.

Senior Software Engineer - Control Systems

Atom Computing

Boulder, CO

$150K - $175K/yr

Full-time

Re-posted 27 days ago

Job description

At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing.
 
Atom Computing is looking for a Senior Software Engineer to help design and build the high-performance control systems that drive our next-generation quantum computing platforms. In this role, you’ll work across embedded software, real-time systems, GPU/FPGA acceleration, and hardware orchestration to deliver deterministic, high-throughput control pipelines. Your work will directly shape how our quantum processors operate, scale, and perform.
 
This is a hands-on engineering role for someone who loves deep systems work, understands hardware/software co-design, and thrives at the intersection of physics, architecture, and performance engineering. Due to the need for collaboration with Atom’s theory, software and hardware teams, this role is required to be in the office in Boulder or Austin at least 3 days per week. 
Job Responsibilities:
  • Build and test embedded firmware and software powering high-speed software defined radios (SDRs), imaging pipelines, precision scientific instrumentation, and real-time digital feedback loops.
  • Design and optimize deterministic, low-latency software for quantum hardware — including device drivers, Linux kernel modules, and custom subsystems.
  • Evaluate and architect real-time execution strategies across Linux and RTOS environments; drive design decisions around determinism, throughput, and system scalability.
  • Develop orchestration layers coordinating GPUs, FPGAs, and custom electronics for high-bandwidth, tightly synchronized quantum control operations.
  • Rapidly prototype and iterate using Rust, Python, C/C++, CUDA, and FPGA toolchains (VHDL/Verilog).
  • Collaborate with quantum theorists, hardware engineers, and platform software teams to translate quantum control flows into fast, reliable, production-ready code.
Experience & Education
  • BS, MS, or Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • At least 5 years of relevant postgraduate professional experience. Experienced candidates welcome.
Qualifications
  • Proficiency in software development using C++, Python, Rust, or Go.
  • Experience with NVIDIA CUDA or FPGA design in VHDL or Verilog is an asset, but not required. 
  • Knowledge in one or more of the following areas: computer architecture, signal processing, algorithm development, quantum error correction, distributed systems, or compilers, with a willingness to learn across disciplines as needed
Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance.  We also offer drinks, snacks, and catered team lunches in our offices, every day!
 
The base salary range for this position is between $150,000 - $175,000, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.