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Nvidia Engineering Jobs (NOW HIRING)

Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams toidentify emerging AI-native categories and influence NVIDIA's platform roadmap. * Build strong ...

Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA's platform roadmap. Build strong relationships ...

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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 Sep 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 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 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 August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

Principal Software Engineer, Retail and CPG Platform Architecture

Nvidia

Santa Clara, CA

$158K - $212K/yr

Full-time

Posted 7 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We're looking for a technical architecture expert with hands-on developmentexperience to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to build the platform. This is a technical engineering role and requiresfamiliarity withNVIDIA'sGPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AIarchitectureswill make you an ideal candidate.

Join us and take the lead in building the retail platform and help us develop the future of AI in retail! Your mission is to leverage NVIDIA's existing retail and supply chain blueprints, along with proven workflows and best practices codified through customers and ISV engagements, to define thearchitectureandbuild the Retail & CPGplatform.You will be responsible forarchitecting and collaborating with engineering teams acrossNVIDIA,to build the platform. Built on NVIDIA's full stack-including Agentic AI, Physical AI, and accelerated computing-this platform will power our three strategic pillars: digital commerce, supply chain, and intelligent stores.

What you'll be doing:

  • You will work with Retail & CPG product management, business development, and developer relations teams to harness their deep expertise in supply chain and retail to architect and build a platform that makes it easier for our ecosystem and customers to build AI solutions at scale. The platform will use our NVIDIA Nemo microservices and Nemotron open-source models, with initial priority on Agentic AI for supply chain, digital commerce and employee productivity. This role will initially be an individual contributor with developer experience building AI agents and will collaborate with a strong technical retail and supply chain team, as well as horizontal engineering team(s).

  • Define product, technical vision and architecture

  • Develop platform strategy across supply chain, stores, and e-commerce

  • Architect and build systems hands-on, using existing Retail and Agentic Commerce, and supply chain blueprints, as well as other key components of NVIDIAplatformfor hyper-personalization, new formulation discovery with NVIDIA ALCHEMI and CuOpt supply chain optimization solvers.

  • Build a reusable reference architectures for industry adoption. Define the product, technical vision, and architecture for the Retail & CPG platform using NVIDIA's existing blueprints and workflows.

  • Use NVIDIA technologies like NeMo, NIM, RAPIDS, and cuOpt to write thecodeand create the platform with help from solution engineers on theteam,andresources secured from engineering.

  • Deliver a production-ready platform together with NVIDIA engineering, focusing on latency, throughput, and cost efficiency.

  • Ensure system reliability through monitoring, evaluation, and fallback strategies.

  • Work together with Solution engineers and developer relations engineers to present the platform to ISVs, GSIs, and customers.

  • Contribute to technical thought leadership and engage with the industry.

What we need to see:

  • Bachelor of Science or equivalent experiencein computer science or electricalengineering.

  • 15+ years of dynamic work experience within high growth tech companiesor buildingAI andagentic solutions for a major Retailer.

  • Builder mentality with proven track record to write code and ship systems. Having experience as a developer of AI agents is a must.

  • Developer expertise in AI systems, including experience with LLMs, RAG, and agent-based systems.

  • Strong understanding of data pipelines, embeddings, and systems architecture.

  • Experience with distributed systems, APIs, and microservices.

  • Shown success in lean, high-velocity environments, collaborating with engineering.


Ways tostandout from the crowd:

  • Familiarity with GPU accelerationlibraries (CUDA, Triton,TensorRT).

  • Background in Retail, CPG, logistics, or marketplaces is a plus, but notrequired.

  • Experience working with enterprise AIarchitectures.

  • Master's degree or equivalent experience in computer scienceis highly desirable.


NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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