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60 Nvidia Software Engineering Manager Jobs Hiring Near You

Nvidia

Senior High Performance AI Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest ... Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent ...

Nvidia

OR

$172.80K - $204.80K/yr

... NVIDIA Networking, and a fully optimized AI software stack. We are seeking an engineering leader ... Manage 3rd-party vendors and drive platform requirements (NVPOR) across all firmware areas.

Nvidia

Senior High Performance AI Engineer

Redmond, WA · On-site

$137.20K - $180.90K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest ... Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent ...

Nvidia

Senior Solutions Architect, Generative AI

OR · On-site +1

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 Solutions Architect, Generative AI

OR · On-site +1

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

OR · On-site

... engineering workflows. You will collaborate closely with internal NVIDIA software and hardware teams to translate the latest advances into production capabilities and NVIDIA products. What you'll be ...

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Nvidia Jobs Information

What are the key skills and qualifications needed to thrive as a Software Engineering Manager, and why are they important?

To thrive as a Software Engineering Manager, you need a solid background in software development, team leadership, and project management, often backed by a degree in computer science or a related field. Familiarity with development tools, agile methodologies, version control systems, and, in some cases, certifications like PMP or Scrum Master are valuable. Exceptional communication, problem-solving, and mentoring skills distinguish top performers in this role. These competencies are crucial for successfully guiding technical teams, delivering projects efficiently, and fostering a collaborative and innovative engineering culture.

What are some common challenges faced by Software Engineering Managers when leading diverse development teams?

Software Engineering Managers often encounter challenges such as balancing technical leadership with people management, aligning team members with different backgrounds and skill sets, and ensuring effective communication across remote or cross-functional teams. Navigating these challenges involves fostering an inclusive environment, setting clear expectations, and adapting management styles to individual team members’ needs. Successful managers also prioritize regular check-ins and feedback to keep projects on track and support professional growth within the team.

What does a Software Engineering Manager do?

A Software Engineering Manager oversees a team of software engineers, guiding the development of software projects from planning to implementation. They are responsible for managing the team's workflow, ensuring high-quality code, and meeting project deadlines. In addition to technical leadership, they also handle hiring, mentoring, and performance reviews. Their role bridges the gap between technical execution and business objectives, ensuring that software solutions align with strategic goals.

What engineering jobs pay 500,000?

Senior software engineering managers, principal engineers, and technical directors in technology companies often earn $500,000 or more annually, especially with bonuses, stock options, and other incentives. These roles typically require extensive experience, leadership skills, and expertise in areas like cloud computing, software architecture, or AI development.

What is the difference between Software Engineering Manager vs Software Developer?

AspectSoftware Engineering ManagerSoftware Developer
CredentialsBachelor's or Master's in CS or related field, often with leadership experienceBachelor's or higher in CS or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, debugging, and implementing features
Employer & Industry UsageUsed across tech companies, startups, and large enterprisesCommon in all software development settings
Search & Comparison IntentUnderstanding managerial roles, leadership responsibilitiesFocus on technical skills, coding tasks

The main difference between a Software Engineering Manager and a Software Developer lies in their roles and responsibilities. Managers oversee teams, coordinate projects, and handle strategic planning, while developers focus on coding and technical implementation. Both roles are essential in the software development lifecycle, but they serve different functions within an organization.

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
What other companies are hiring for Software Engineering Manager jobs?
What are the most popular jobs at Nvidia?
What are the most popular categories at Nvidia?
Infographic showing various Software Engineering Manager job openings at Nvidia in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, 13% Hybrid, and 2% Remote job distribution.
Senior High Performance AI Engineer

Senior High Performance AI Engineer

Nvidia

Santa Clara, CA • On-site

$143.90K - $189.70K/yr

Full-time

Posted 3 days ago

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for outstanding Senior High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative agentic runtimes and compiler-integrated orchestration that work together with NVIDIA's software stack to provide comprehensive acceleration for modern agent workloads powered by foundational models. As a member of the team, you will develop new agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads. 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 for the CUDA ecosystem.

  • Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.

  • Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity.

  • Collaborate across the AI stack-from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving-and with model/agent teams.

What we need to see:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.

  • 6+ years of industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.

  • Strong C/C++ and Python programming skills; solid software engineering fundamentals.

  • Experience with GPU programming and performance optimization (CUDA or equivalent).

Ways To Stand Out From The Crowd:

  • Track record building/evaluating deep learning models, coding agents and developer tooling.

  • Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms.

  • Deep expertise in GPU performance optimizations, evidenced by benchmark wins or published results.

  • Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 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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