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Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Solutions Architect - OEM AI

Santa Clara, CA · On-site

$74 - $97.50/hr

Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies. * Guide the development of Agentic AI ...

Nvidia

Solutions Architect, OEM AI

Santa Clara, CA · On-site

$74 - $97.50/hr

Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies. * Guide the development of Agentic AI ...

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Nvidia Engineering information

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$46.5K

$146.9K

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How much do nvidia engineering jobs pay per year?

As of Jul 2, 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 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.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, hardware engineering, or systems architecture at leading technology companies can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or working on high-impact projects.

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 or advanced degrees can earn higher compensation, often including bonuses and stock options. The company also values technical expertise in areas like GPU architecture, AI, and deep learning.

How much do NVIDIA application engineers make?

NVIDIA application engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and level. Salaries can increase with specialized skills in GPU programming, deep learning, and related tools, and may include bonuses and benefits. Entry-level positions generally start lower, while senior roles can exceed this range.
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Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 79% In-person, 2% Hybrid, and 19% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.
Lead Engineer, Healthcare Data Operations and Strategy

Lead Engineer, Healthcare Data Operations and Strategy

Nvidia Corporation

Santa Clara, CA • On-site

$120K - $158K/yr

Full-time

Posted 26 days ago

Job description

At NVIDIA, we're building the platforms to accelerate the healthcare applications of tomorrow. Software, Hardware, as well as data. We're looking for dedicated contributors who know how to focus on the latter. This is an opportunity to influence the direction of NVIDIA research, engineering, and ultimately the products which our customers build.
This role leads healthcare data operations and guides its strategy. You decide what to build next and collaborate with community partners to build it. You also establish the MLOps backbone that makes each program a durable, growing asset. You connect leading clinicians, academic researchers, medtech industry partners, and NVIDIA's engineering and product teams.
What You'll Be Doing:
  • Define a portfolio strategy and selection methodology for NVIDIA's healthcare data programs with key collaborators. Prioritize modalities, clinical domains, and partner cohorts based on scientific and market impact, downstream model value, partner readiness, and technical feasibility.
  • Drive the tactical execution of new healthcare data collaborations end-to-end: prioritizing, data contribution agreements and licensing, contribution standards, release planning, and public launch.
  • Architect and build our healthcare data MLOps platform that ingests, curates, validates, governs, and serves multi-institution healthcare data at scale. Combine NVIDIA's internal tooling with outstanding external systems when appropriate.
  • Partner directly with NVIDIA healthcare and model training teams (e.g., GR00T, Cosmos) to ensure data programs are sequenced and crafted to feed the highest-priority needs.
  • Establish data quality, provenance, de-identification, and governance standards that scale across modalities and meet the regulatory and compliance expectations of global clinical partners.

What We Need to See:
  • 12+ years working with healthcare data - building datasets, running data programs, or leading MLOps workflows in a healthcare or medtech setting.
  • Strong technical proficiency across the healthcare data lifecycle: ingestion, curation, annotation, de-identification, governance (HIPAA, GDPR, IRB workflows), and serving for training and evaluation.
  • Hands-on experience with MLOps tooling - data lakes/lakehouses, dataset versioning (e.g., Hugging Face Datasets, LakeFS, DVC), workflow orchestration, validation frameworks - and a clear point of view on when to build versus integrate.
  • Familiarity operating at the intersection of strategy, partnerships, and engineering - able to set portfolio direction one day and review schema choices or pipeline architectures the next.
  • BS or higher in Computer Science, Biomedical Engineering, Computational Biology, or a related technical field, or equivalent experience.

Ways to Stand Out from the Crowd:
  • Direct healthcare industry experience - including familiarity with how device data is generated, retained, and released.
  • Track record of launching publicly released, commercially usable healthcare datasets.
  • Experience standing up data infrastructure for foundation model training, including multi-modal sensor data.
  • Deep relationships across the global clinical AI community (MedTech or biopharma), and a history of converting those relationships into shipped artifacts.
  • Familiarity with NVIDIA platforms relevant to healthcare AI - Holoscan, BioNeMo, Cosmos, Isaac, NeMo Data Designer, or Omniverse.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 12, 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

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