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Nvidia Engineering Jobs in Phoenix, AZ (NOW HIRING)

Director, Platform Engineering

Tempe, AZ ยท On-site

$160 - $270/hr

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

New

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

Lead AI Engineer

Phoenix, AZ ยท On-site

$96K - $126K/yr

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

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

$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 ...

Collaborate with external designers and Facility engineering teams to guide the deployment of ... Familiar to the robotic simulation and training system such as ROS2, Nvidia Omniverse and ISSAC Sim ...

Principal Electrical Engineer

Phoenix, AZ ยท On-site

$130K - $159K/yr

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

Collaborate with external designers and Facility engineering teams to guide the deployment of ... Familiar to the robotic simulation and training system such as ROS2, Nvidia Omniverse and ISSAC Sim ...

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Showing results 1-20

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 9, 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 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 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 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 July 2026, with employment types broken down into 89% Full Time, 7% 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.

Director, Platform Engineering

FOX News Channel

Tempe, AZ โ€ข On-site

$160 - $270/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

OVERVIEW OF THE COMPANYFox CorporationUnder the FOX banner, we produce and distribute content through some of the worldโ€™s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.JOB DESCRIPTIONUnder the FOX banner, we produce and distribute content through some of the worldโ€™s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.ABOUT THE ROLEFOX Technology is looking for a Director, Platform Engineering to build and lead a new team focused on advancing in-house software development, platform engineering, and AI-enabled capabilities. This role will help establish the standards, workflows, and production-readiness practices needed to take internal ideas from concept to secure, scalable solutions.You will partner primarily with teams across FOX Technology and Broadcast Engineering to evaluate and mature AI-assisted solutions that support broadcast engineering, operational workflows, distribution, and internal engineering needs. This team will serve as a key bridge between experimentation and production, helping stakeholders turn promising concepts into reliable tools and platforms.A SNAPSHOT OF YOUR RESPONSIBILITIESLead a new platform engineering team supporting in-house development, AI-enabled workflows, and production readinessEstablish standards and readiness gates for moving solutions from concept to POC, pilot, and productionPartner primarily with FOX Technology and Broadcast Engineering teams to evaluate and mature internal tools that support engineering and operational workflowsCreate and improve workflows for CI/CD, testing, deployment, release management, documentation, and operational supportServe as a technical gatecheck for AI-assisted development efforts, ensuring solutions are secure, scalable, maintainable, and aligned to FOX standardsGuide the responsible use of LLMs, Claude or similar tools, Python libraries, feedback loops, and emerging agentic workflowsPartner with information security to review code quality, dependencies, library risks, data handling, and secure deployment practicesLead agile delivery for approved concepts, translating stakeholder needs into technical requirements, sprint plans, and measurable outcomesSupport local compute initiatives that enable shared platform capabilities for FOX Technology and Broadcast EngineeringMentor and develop a small team of software engineers focused on building and operationalizing internal platforms and toolsWHAT YOU WILL NEEDExperience leading software engineering, platform engineering, DevOps, MLOps, or infrastructure engineering teamsStrong understanding of software development lifecycles, CI/CD, testing, deployment, release management, and production supportExperience taking internal tools, platforms, or technical products from concept or POC into productionStrong proficiency with Python and modern software engineering practicesExperience with AI workflows, LLMs, model deployment, inference, training pipelines, or AI-enabled application developmentExperience with GPU compute, local model training, inference platforms, or high-performance computing environmentsExperience with cloud providers such as AWS, Google Cloud, or similar platformsExperience with Claude or similar LLM-based tools used for software development, prototyping, automation, or productivityUnderstanding of agentic concepts, feedback loops, human-in-the-loop validation, and risk managementExperience with responsible AI practices, model governance, or enterprise technology risk frameworksAbility to evaluate code quality, software architecture, dependencies, security posture, scalability, and production readinessExperience partnering with information security on secure development, vulnerability management, dependency scanning, or open-source library riskStrong communication skills with the ability to explain technical decisions, risks, and tradeoffs to technical and non-technical stakeholdersNICE TO HAVE, BUT NOT A DEALBREAKERExperience in media, broadcast technology, streaming, live production, or content distribution environmentsExperience with NVIDIA Holoscan or similar accelerated computing ecosystemsExperience building internal developer platforms, AI sandboxes, shared engineering services, or model governance frameworksExperience with broadcast workflows, distribution systems, monitoring and control environments, or 24/7 operational technologyBachelorโ€™s or Masterโ€™s degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Data Science, Artificial Intelligence, or a related technical fieldAdvanced degree (MS or PhD) in AI/ML, Computer Science, or Engineering disciplines is a plus#Ll-CC1#DTCWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $160,000.00-270,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.View more detail about FOX Benefits. #J-18808-Ljbffr