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60 Nvidia Senior Software Engineering Manager Jobs Hiring Near You

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... facing networking engineers. * Provide organizational and technical leadership across NVIDIA ... managing senior engineers or technical leads. * Strong technical background in networking and ...

Nvidia

Senior Software Engineer, Agentic AI

Redmond, WA · On-site

$137.20K - $180.90K/yr

... NVIDIA GPU architectures. * Establish Engineering Standards: Drive best practices for code quality ... Experience with distributed systems and orchestration to manage high-throughput AI workloads. Ways ...

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA

$137.20K - $180.90K/yr

At NVIDIA, we are pushing the boundaries of what's possible in AI. We are currently seeking a Senior Software Engineer to lead the development of AI software resiliency for the most powerful AI ...

Nvidia

Senior Software Engineer - DPU Platform

Westford, MA · On-site

$127.30K - $167.90K/yr

At NVIDIA, we offer an outstanding opportunity for a Senior Software Engineer to join our ... Expertise in developing security key management solutions is highly desirable * Knowledge of secure ...

NVIDIA

Senior Software Engineer - Simulation

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

NVIDIA has been transforming computer graphics and accelerated computing for over 25 years. They ... Qualifications : Required : • Bachelor or higher degree in computer science, engineering, or ...

NVIDIA

Senior Software Engineer - Simulation

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Qualifications : Required : • Bachelor or higher degree in computer science, engineering, or ...

Nvidia

Senior Software Engineer, AI Networking

Seattle, WA

$139.40K - $183.80K/yr

Proven software engineering/development skills With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world.

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

To thrive as a Senior Software Engineering Manager, you need a solid background in software development, strong leadership abilities, and experience managing engineering teams, often supported by a degree in computer science or a related field. Familiarity with project management tools (like Jira), cloud platforms (such as AWS or Azure), and agile methodologies is typically expected, and certifications like PMP or Scrum Master can be advantageous. Outstanding communication, strategic thinking, and mentorship skills help build high-performing teams and foster collaboration. These skills and qualities are crucial for delivering successful projects, supporting team growth, and aligning technical work with business objectives.

How does a Senior Software Engineering Manager typically balance technical leadership with team management responsibilities?

A Senior Software Engineering Manager often splits their time between providing technical guidance and overseeing team development. This means staying involved in high-level architecture decisions while also focusing on mentoring engineers, conducting performance reviews, and facilitating communication across teams. Balancing these aspects requires strong organizational skills, as managers must ensure project delivery timelines are met without sacrificing team morale or individual growth. Regular one-on-ones, sprint planning sessions, and collaboration with product managers are key parts of the weekly routine.

What is a Senior Software Engineering Manager?

A Senior Software Engineering Manager is a leadership role responsible for overseeing multiple software engineering teams or large projects within an organization. They manage engineering managers and senior engineers, define technical strategies, and ensure the successful delivery of complex software solutions. In addition to technical oversight, they are involved in talent development, process improvement, and cross-functional collaboration with other departments. Their role is crucial for aligning engineering goals with business objectives and fostering a culture of innovation and excellence.

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.
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Infographic showing various Senior 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 Software Engineer, AI Resiliency

Senior Software Engineer, AI Resiliency

Nvidia

Santa Clara, CA

$143.90K - $189.70K/yr

Full-time

Posted 12 days ago

Job description

We are now looking for a Senior Software Engineer for AI Resiliency!

At NVIDIA, we are pushing the boundaries of what's possible in AI. We are currently seeking a Senior Software Engineer to lead the development of AI software resiliency for the most powerful AI supercomputers in the world. As a member of our AI Software Resiliency team, you will play a pivotal role in defining and implementing critical resiliency features for AI supercomputers at a scale of 100,000+ GPUs. Your expertise will be crucial in driving down cluster downtime towards zero, ensuring that our AI systems remain robust and reliable at all times.

What You'll Be Doing:

  • Develop AI Software Resiliency Features: Implement and optimize software features that improve AI system reliability at a massive scale, such as fast checkpoint-recovery, error detection, error isolation, and straggler/hang detection.

  • Hands-On Coding & Optimization: Contribute to large-scale distributed systems with high-quality, production-level C++ and Python code. Enhance performance for AI workloads running on thousands of GPUs.

  • Fault Tolerance & Debugging: Work on AI system error handling, implementing techniques to detect silent data corruption (SDC) and other failure scenarios. Assist in developing monitoring tools for proactive failure mitigation.

  • Collaborate Across Teams: Work closely with senior engineers, AI researchers, and hardware/software teams to integrate resiliency features into AI frameworks like PyTorch and JAX/XLA.

  • Testing & Automation: Develop and implement tests to ensure robustness, scalability, and efficiency of resiliency mechanisms. Contribute to CI/CD pipelines to automate validation of AI workloads.

  • Support Production Deployments: Assist in debugging and performance tuning large-scale AI workloads in cloud and HPC environments, ensuring seamless operation of AI training and inference workloads.

What We Need to See:

  • You've achieved a Bachelor's, Master's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

  • Proficiency in C++ and Python, with experience in writing efficient, high-performance code.

  • 6+ years of relevant experience

  • Strong understanding of distributed systems concepts, parallel programming, and fault tolerance in large-scale computing environments.

  • Familiarity with AI frameworks such as PyTorch, JAX/XLA, TensorFlow, or similar.

  • Experience with debugging and profiling tools (e.g., gdb, perf, valgrind, NVIDIA Nsight).

  • Excellent problem-solving skills and ability to work in a fast-paced, highly collaborative environment.

Ways to Stand Out From the Crowd:

  • Hands-on experience in training models or working with model training teams.

  • Hands-on experience with CUDA, NCCL, or MPI for GPU-accelerated computing, especially at extreme-scale.

  • Knowledge of checkpointing strategies, error mitigation, or fault-tolerant computing in AI training.

  • Experience working with large-scale AI clusters, HPC environments, or cloud-based AI workloads.

  • Strong systems programming skills and experience with low-level performance tuning.

As part of the AI Resiliency team at NVIDIA, you'll work alongside world-class engineers solving some of the hardest challenges in AI infrastructure. You'll have the opportunity to contribute directly to making AI training and inference more reliable, scalable, and efficient. If you're passionate about AI, distributed systems, and high-performance computing, 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 February 8, 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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