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Nvidia Engineering Jobs (NOW HIRING)

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Provide insights to NVIDIA engineering and product teams to guide roadmaps for Jetson Thor, Isaac, and Holoscan. * Engage senior technical leaders-including Chief Architects, CTOs, and autonomy ...

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$63 - $83/hr

Act as a strategic conduit between Federal customers and NVIDIA engineering teams. Translate outstanding public sector requirements into actionable feedback. Influence future GPU, networking, and ...

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This is a technical engineering role and requires familiarity with NVIDIA's GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI ...

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Partner with NVIDIA engineering, product, sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and POC evaluations. What ...

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Partner with Sales, NVIDIA Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption. Develop a deep understanding of customer workflows and requirements, lead proof ...

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Partner with NVIDIA's engineering, product, and sales teams to secure design wins and drive the adoption of NVIDIA technology within the AdTech and Media distribution ecosystems. * Act as a trusted ...

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$110K - $149K/yr

You will ensure operational preparedness ismaintainedto support it. You will convert NVIDIA's engineering-first, technology-focused, data-informed defense strategy into practical plans. You will ...

OR · Hybrid

$134K - $180K/yr

Collaborate with highly autonomous NVIDIA engineering teams to drive cultural adoption of standard platforms. You will design compelling self-service architectures, APIs, and Terraform/OpenTofu ...

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Nvidia Engineering information

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$46.5K

$146.9K

$174K

How much do nvidia engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for nvidia engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at major technology companies can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills, and sometimes leadership roles or executive responsibilities.

What are the key skills and qualifications needed to thrive in the Nvidia Engineering position, 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 Engineering job?

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.

Which engineers does NVIDIA hire?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures or AI frameworks. The company values innovation, collaboration, and relevant technical certifications or degrees in engineering or computer science.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

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.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills in AI, graphics, or hardware may earn higher compensation, often including bonuses and stock options.
What cities are hiring for Nvidia Engineering jobs? Cities with the most Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most Nvidia Engineering jobs? States with the most job openings for Nvidia Engineering jobs include:
Infographic showing various Nvidia Engineering job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.
Developer Relations Manager, Federal Government

Developer Relations Manager, Federal Government

Nvidia

OR • On-site

Full-time

Posted 26 days ago


Job description

NVIDIA is hiring an accomplished Developer Relations Manager to lead technical engagement efforts across the U.S. defense autonomy ecosystem. You will engage with ISVs, primes, and venture-backed disruptors advancing autonomous aerial platforms, counter-UAS systems, and collaborative combat aircraft. Your work will involve close interaction with engineering teams defining how autonomous drones perceive, decide, and take action. This covers edge inference on the airframe, coordination among multiple agents in contested airspace, and the simulation environments used to train and validate these systems before flight.

You will collaborate with autonomy-focused software vendors, defense primes, and emerging drone manufacturers. You will promote NVIDIA's accelerated computing stack, including Jetson Thor and Orin at the edge. Other technologies are Holoscan for sensor processing, Isaac for autonomy, Omniverse and Isaac Sim for synthetic training, and the full CUDAX software layer. This work supports critical uncrewed systems programs. The ideal candidate has deep technical credibility in robotics, onboard autonomy, or flight software. They have a proven record of influencing partner roadmaps and delivering production autonomy stacks on DoD timelines.

You must be a U.S. Citizen to apply for this position.

What You'll Be Doing:

  • Build and maintain deep technical expertise in autonomous drone mission workloads. These include visual-inertial odometry and SLAM in GPS-denied environments. Also cover multi-modal sensor fusion using EO/IR, SAR, LiDAR, and RF. Include onboard target detection and tracking, swarm and teaming behaviors, and mission-level planning under degraded communications.

  • Embed with federal autonomy ISVs, drone OEMs, and prime contractors to architect, prototype, and integrate the NVIDIA software stack-Jetson, Holoscan, Isaac ROS, TensorRT, DeepStream, and cuOpt-into flightready autonomy pipelines optimized for SWaPconstrained airframes.

  • Lead partner engineering teams through onboarding and integration. Deliver reference architectures, optimized perception and planning pipelines, sample code, and production-grade autonomy workflows. These workflows must be deployable on Group 1-5 platforms.

  • Observe the autonomy ecosystem to spot new opportunities in collaborative combat aircraft, loitering munitions, counterUAS, ISR, and humanmachine teaming. Provide insights to NVIDIA engineering and product teams to guide roadmaps for Jetson Thor, Isaac, and Holoscan.

  • Engage senior technical leaders-including Chief Architects, CTOs, and autonomy platform leads-across the Aerospace & Defense sector. Tackle sophisticated architectural challenges such as deterministic edge processing, certificationready software stacks, and safe autonomy at mission scale.

  • Run technical workshops, hackathons, and handson enablement programs that rapidly onboard autonomy engineers to the NVIDIA stack.

  • Partner with NVIDIA Account Managers, industry business development leaders, Solutions Architects, and federal system integrators supporting major autonomy programs, including Replicator, CCA, NGAD, and broader Joint Force initiatives.

  • Support development of AI blueprints and reference builds for autonomous systems, spanning synthetic data generation in Isaac Sim and Omniverse through onplatform inference and fleetlevel mission analytics.

What We Need to See:

  • Bachelor's or Master's (or equivalent experience) in Computer Science, Robotics, Aerospace/Controls, Electrical Engineering, or a related field.

  • 15+ years in the technology industry overall, with 7+ years hands-on in robotics, autonomy, flight software, perception, or edge AI - ideally including time at a defense autonomy company, drone OEM, or an autonomy-heavy program office.

  • Proven technical depth in GPU-accelerated autonomy software: CUDA, TensorRT, Isaac ROS / ROS 2, Holoscan, DeepStream, and on-device model optimization for Jetson-class hardware.

  • Proven experience in architecting real-time perception, sensor fusion, and planning stacks for SWaP-constrained airborne platforms. It includes onboard inference, multi-sensor time synchronization, and mission autonomy when communications are degraded or denied.

  • History of leading developer programs, reference integrations, or ecosystem partnerships with defense ISVs, primes, or venture-backed autonomy companies.

  • Strong ability to translate between engineering depth and senior-executive strategy across program offices, primes, and mission owners.

Ways to Stand Out from the crowd:

  • Direct experience shipping autonomy software on a Group 2-5 UAS, a loitering munition, a counter-UAS system, or a coordinated strike aircraft.

  • Background in multi-agent / swarm autonomy, behavior trees, or mission-level AI planners.

  • Experience with synthetic data pipelines, sim-to-real, or digital twin workflows for training and validating perception and policy models.

  • Familiarity with DoD software acquisition pathways, cATO/RMF, and the realities of deploying AI on classified networks and tactical edge hardware.

  • Active clearance (Secret or above) or eligibility to acquire one.

With competitive salaries and a generous benefits package, we are known as one of the world's most desirable employers. NVIDIA has some of the most forward-thinking and hardworking people working together to advance accelerated computing and AI. If you are a creative and autonomous technologist passionate about working with developers and crafting the future of AI in the public sector, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993