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Cuda Engineer Salary Jobs in Phoenix, AZ (NOW HIRING)

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... CUDA. The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... CUDA. The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ · On-site

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... CUDA. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ · On-site

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... CUDA. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ... CUDA. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ... CUDA. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to ...

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Cuda Engineer Salary information

See Phoenix, AZ salary details

$36.2K

$106.5K

$136.5K

How much do cuda engineer salary jobs pay per year?

As of May 28, 2026, the average yearly pay for cuda engineer salary in Phoenix, AZ is $106,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $135,000.00 per year, depending on experience, location, and employer.

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 strong programming expertise in C/C++, parallel computing concepts, and a solid understanding of GPU architecture, typically supported by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU profiling tools, and parallel computing frameworks is essential, and certifications in CUDA development can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this field. These skills and qualities are crucial for developing efficient, high-performance applications and collaborating on complex technical projects.

What are some common challenges faced by CUDA engineers when collaborating with cross-functional teams?

CUDA engineers often work closely with software developers, data scientists, and hardware engineers to optimize code for GPU acceleration. A common challenge is effectively communicating complex GPU programming concepts to team members who may not have a background in parallel computing. Additionally, integrating CUDA code into broader projects can require careful coordination to ensure compatibility and performance across different platforms. Overcoming these challenges often involves clear documentation, regular team meetings, and a willingness to provide technical guidance to colleagues.

What is the average salary of a CUDA Engineer?

The average salary of a CUDA Engineer in the United States typically ranges from $110,000 to $160,000 per year, depending on experience, location, and industry. CUDA Engineers with specialized skills in GPU programming and parallel computing are often in high demand, particularly in sectors such as artificial intelligence, high-performance computing, and graphics. Salaries may be higher in tech hubs like Silicon Valley or for engineers with advanced degrees and significant experience.

What is the difference between Cuda Engineer Salary vs GPU Developer Salary?

AspectCuda Engineer SalaryGPU Developer Salary
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fields; knowledge of CUDA, parallel programmingBachelor's or higher in Computer Science, Software Engineering, or related fields; experience with GPU programming
Work EnvironmentResearch labs, tech companies, AI firms, hardware manufacturersSoftware development companies, gaming industry, AI and machine learning firms
Industry UsagePrimarily in high-performance computing, AI, and scientific researchIn gaming, visualization, AI, and software optimization

Both roles require expertise in GPU programming and similar educational backgrounds. Cuda Engineers focus more on developing and optimizing CUDA-based applications, while GPU Developers work broadly on GPU-accelerated software. Salary differences depend on experience, location, and industry demand, but both roles are highly valued in tech sectors leveraging GPU technology.

What are popular job titles related to Cuda Engineer Salary jobs in Phoenix, AZ? For Cuda Engineer Salary jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer Salary jobs in Phoenix, AZ look for? The top searched job categories for Cuda Engineer Salary jobs in Phoenix, AZ are:
Cuda Engineer Salary jobs near you

Senior / Staff ML Training Optimization Engineer

Waabi

Phoenix, AZ • On-site, Remote

$141K - $249K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 20 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.
- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
- Identify and evaluate emerging technologies that can be adopted into Waabi's training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques.
- Work with researchers and ML engineers on best-practices for optimal resource usage.
- Create and improve tooling and dashboards to ensure broad adoption of your work.
 
Qualifications:
- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
- Experience in deep learning frameworks such as PyTorch or Jax.
- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Experience in identifying when custom CUDA kernels are needed, and implementing them.
- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments.
- Experience with Kubernetes-based training platforms.
 
The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi's yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
- As we grow, this list continues to evolve! 

Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
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