Manager, Software Architecture at NVIDIA

**Who this is for** This role is for an experienced engineering manager with a strong technical background in systems software and networking, who is passionate

Work type: onsite

Location: US, CA, Santa Clara

Salary: $184,000 – $356,500/yr

Type: Full-time

Summary

**Who this is for** This role is for an experienced engineering manager with a strong technical background in systems software and networking, who is passionate about leading a team and setting technical direction for AI infrastructure. **Key highlights** You will lead a team focused on building systems-level software for AI data movement, owning execution and technical roadmap. This includes optimizing low-level transport, hardware-software co-design, and developing communication frameworks for AI stacks. **You might be a good fit if you...** - Have 8+ years of software engineering experience in systems software, networking, or distributed systems. - Possess 3+ years of direct people management experience. - Have a strong understanding of computer architecture, memory hierarchies, and networking. - Are proficient in C, C++, Rust, and Python.

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.

An applied research team within NVIDIA’s Networking Systems & Software Architecture group is solving some of AI’s hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands—spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. The team's charter expands into emerging domains including quantum computing interconnects. This Engineering Manager role leads a team responsible for that work—owning execution, and setting technical direction. It calls for someone technically strong enough to drive architecture and focused on creating an extraordinary engineering organization!

What you will be doing:

Lead and develop a team of systems and networking engineers building distributed AI communication systems—libraries, frameworks, and system integrations.

Setting the technical roadmap in partnership with principal engineers and architects, balancing near-term delivery with long-term research bets.

Creating a culture of technical excellence and open collaboration. Handling project planning, resource allocation, and delivery timelines across concurrent workstreams.

What we need to see:

8+ overall years of software engineering experience with advanced knowledge in systems software, networking, or distributed systems. This experience allows credible participation in architecture reviews and making informed trade-off decisions.

3+ years of direct people management.

BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering, or a related field.

Ability to scope a problem, set a plan, and deliver results in a fast-paced R&D environment.

Strong communication skills—comfortable speaking publicly, writing technical documents, and giving candid feedback.

Good understanding of computer architecture, memory hierarchies, DMA engines, and networking.

Proficiency in programming languages such as C, C++, Rust and Python.

Understanding of ML systems concepts—transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns.

Ways to stand out from the crowd:

Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements.

Familiarity with NVIDIA’s hardware and software ecosystem.

Experience with agile methodologies adapted for engineering teams dedicated to research.

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 for Level 2, and 224,000 USD - 356,500 USD for Level 3.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 27, 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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