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Nvidia Software Jobs (NOW HIRING)

Nvidia

Senior AI Engineer, High Performance AI

Santa Clara, CA · On-site

$143K - $189K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: Design, build and optimize agentic AI systems ...

Nvidia

Solutions Architect, Agentic Optimization

$64.50 - $85/hr

Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback. What we need to see: * BS, ...

Nvidia

Senior AI Engineer, High Performance AI

Austin, TX · On-site

$121K - $160K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: * Design, build and optimize agentic AI ...

NVIDIA

Senior Sales Customer Success Manager, DACH

Conduct needs assessments to align customer workloads with NVIDIA software libraries, frameworks, reference architectures, and platform capabilities. * Collaboratively define and track success ...

Nvidia

Senior AI Engineer, High Performance AI

Redmond, WA · On-site

$137K - $180K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: * Design, build and optimize agentic AI ...

Nvidia

Senior AI Engineer, High Performance AI

Redmond, WA · On-site

$137K - $180K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: Design, build and optimize agentic AI systems ...

Nvidia

Senior AI Engineer, High Performance AI

OR · On-site +1

$122K - $161K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: Design, build and optimize agentic AI systems ...

Nvidia

Senior AI Engineer, High Performance AI

Austin, TX · On-site

$121K - $160K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: Design, build and optimize agentic AI systems ...

Nvidia

Solutions Architect, Agentic Optimization

$64.50 - $85/hr

Developing and debugging software for NVIDIA and open-source AI frameworks and libraries. Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the ...

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Nvidia Software information

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$48K

$111.8K

$166K

How much do nvidia software jobs pay per year?

As of Sep 11, 2026, the average yearly pay for nvidia software in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is an Nvidia software engineer?

Nvidia Software engineers are professionals who design, develop, and optimize software solutions for Nvidia's products, such as GPUs, AI platforms, and related technologies. They work on a variety of projects, including graphics drivers, deep learning frameworks, and high-performance computing applications. Their role involves collaborating with hardware engineers, improving system performance, and ensuring seamless integration with Nvidia hardware. Nvidia Software engineers are essential in advancing the capabilities of graphics and AI technology.

What skills and qualifications are needed to thrive as an Nvidia software engineer?

To thrive as an Nvidia Software Engineer, you need proficiency in programming languages like C++ and Python, strong knowledge of computer architecture, and often a degree in computer science or a related field. Familiarity with parallel computing platforms such as CUDA, GPU development tools, and version control systems like Git is typically required. Problem-solving abilities, collaboration, and effective communication are crucial soft skills for success in this role. These competencies enable engineers to efficiently develop high-performance software and contribute to innovative graphics and AI solutions.

What are common challenges faced by software engineers working at Nvidia, and how can they be addressed?

Software engineers at Nvidia often work on cutting-edge technologies in fields like graphics, AI, and high-performance computing, which can present unique challenges such as rapidly evolving technical requirements and complex problem-solving scenarios. Collaborating across multidisciplinary teams—often globally distributed—requires strong communication and adaptability. To succeed, it's important to proactively seek feedback, stay updated on emerging trends, and leverage Nvidia’s internal learning resources. Embracing a collaborative mindset and being open to continuous learning can help engineers navigate these challenges effectively.

What is the difference between Nvidia Software vs Nvidia Hardware Engineer?

AspectNvidia SoftwareNvidia Hardware Engineer
Required CredentialsBachelor's in Computer Science, Software Development experienceBachelor's in Electrical Engineering or Computer Engineering, hardware design experience
Work EnvironmentSoftware development teams, R&D labs, collaborative projectsHardware labs, prototyping, testing environments
Industry UsageDeveloping drivers, AI software, GPU programmingDesigning GPU chips, circuit boards, hardware components
Common Search/ComparisonYesNo

In summary, Nvidia Software professionals focus on developing and maintaining software solutions like drivers and AI applications, requiring programming skills and software credentials. Nvidia Hardware Engineers work on designing and testing physical GPU components, requiring engineering expertise. Both roles are vital in the tech industry but differ in their focus and skill sets.

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What cities are hiring for Nvidia Software jobs?

Cities with the most Nvidia Software job openings:

What states have the most Nvidia Software jobs?

States with the most job openings for Nvidia Software jobs include:

What job categories do people searching Nvidia Software jobs look for?

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Nvidia Software jobs near you
Infographic showing various Nvidia Software job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.

Senior Software Engineer - VLM Microservices for Neural Reconstruction

Redmond, WA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$137K - $180K/yr

Full-time

Re-posted just now

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA is a world-leader in Gaussian Splatting and Neural reconstruction. Our team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed-loop validation and closed-loop training grounded in real-world scenarios.

Are you fascinated by the latest developments in Vision Language Models and 3D reconstruction? We are looking for a driven Software Engineer to bring ground breaking models into NVIDIA's software ecosystem for neural graphics to improve its robustness and accuracy and enrich its capabilities. Your software will help bridge the gap between the real world and simulations. Join our amazing team and help us build the future of Physical AI!

What you'll be doing:

  • Design, build, and optimize containerized inference execution for the latest 3D VLMs from NVIDIA, turning research work into production-grade, highly optimized software (NIMs, NVIDIA Inference Microservices)

  • Develop benchmarks to validate the models accuracy and performance (latency, throughput, scalability)

  • Release and maintain the models and their pipelines throughout their lifecycle (bug fixes, security patches)

  • Contribute VLM-related features to Open-Source projects like vLLM

  • Collaborate closely with Research and Product teams and influence our common roadmaps

What we need to see:

  • Master's of Science in Computer Science + 3 years, or Electrical Engineering, Bachelor of Science (or equivalent experience) + 5 years of experience.

  • History of building, validating and releasing production-grade AI distributed systems, backend services, microservices, and cloud technologies.

  • Deep technical expertise in distributed applications using Docker, Kubernetes, endpoints and their APIs (REST, gRPC), Helm.

  • Hands-on experience with modern inference platforms (vLLM, SGLang, Torch, TRT, TRT-LLM).

  • Proficiency with Python and C++.

  • Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization).

  • Excellent written, visual, and verbal communication.

  • Curiosity and drive to learn new technologies and partner across teams and functions.

Ways to Stand Out from the Crowd:

  • Track record contributing to open-source or production-grade software. Are you a vLLM contributor already?

  • Experience with ML model engineering: training, fine-tuning, distillation, quantization.

  • Experience with low-level optimization of ML models (CUDA kernels)

  • Strong fundamentals in 3D graphics, 3D computer vision or neural reconstruction (NERFs, Gaussian Splats).

  • History of multidisciplinary creativity and innovation around software engineering in multiple problem domains.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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