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Nvidia Engineering Jobs in Phoenix, AZ (NOW HIRING)

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

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Strong experience with GPU programming, particularly on NVIDIA GPUs . * Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration ...

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Strong experience with GPU programming, particularly on NVIDIA GPUs . * Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration ...

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Experience with NVIDIA Holoscan or similar accelerated computing ecosystems * Experience building internal developer platforms, AI sandboxes, shared engineering services, or model governance ...

CUDA Developer - Remote

Phoenix, AZ · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

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CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

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Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

... NVIDIA simulation and AI acceleration tools, including Physics NEMO and related model-based AI frameworks. • Collaborate closely with engineering teams to integrate surrogate models into design ...

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

... Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will be ... Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools.

Principal Electrical Engineer

Phoenix, AZ

$130K - $159K/yr

Mercury Systems is seeking the best and brightest engineering talent to help us deliver cuttingedge ... Experience developing advanced network interface board designs using components from Nvidia ...

Principal Electrical Engineer

Phoenix, AZ · On-site

$130K - $159K/yr

Mercury Systems is seeking the best and brightest engineering talent to help us deliver cuttingedge ... Experience developing advanced network interface board designs using components from Nvidia ...

Senior Software Engineer

Tempe, AZ · On-site

$117K - $154K/yr

Engineering and Technical Job Type for Job Posting: Full Time Working Mode for Job Posting: Hybrid ... Familiarity with ARM-based embedded Linux platforms (e.g., NVIDIA Jetson, Qualcomm, NXP, or similar)

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Nvidia Engineering information

See Phoenix, AZ salary details

$46.2K

$145.8K

$172.8K

How much do nvidia engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for nvidia engineering in Phoenix, AZ is $145,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $171,800.00 per year, depending on experience, location, and employer.

What is an Nvidia engineer?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

What types of projects do Nvidia engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What are the most commonly searched types of Nvidia Engineering jobs in Phoenix, AZ?

The most popular types of Nvidia Engineering jobs in Phoenix, AZ are:

Infographic showing various Nvidia Engineering job openings in Phoenix, AZ as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $145,827 per year, or $70.1 per hour.

CUDA Engineering Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$60 - $100/hr

Full-time

Posted 2 days ago

New


Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities
  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications
  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications
  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.