Manager, Software Architecture

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Generous benefits package

Job summary

NVIDIA Gruppe is seeking an Engineering Manager to lead a team solving AI's infrastructure problems with systems-level software. You will guide engineers in building distributed AI systems, balancing project delivery with innovative research.

The ideal candidate has over 8 years in software engineering, with strong people management skills, technical expertise in systems software, and proficiency in languages like C and Python. NVIDIA offers competitive salaries of $184,000 to $356,500 annually, alongside a generous benefits package.

Qualifications

• 8+ years of software engineering experience.
• 3+ years of people management experience.
• Ability to communicate effectively and give feedback.
• Good understanding of ML systems concepts.

Responsibilities

• Lead a team of systems and networking engineers.
• Set technical roadmap with principal engineers & architects.
• Create a culture of technical excellence and collaboration.

Skills

Software engineering experience

People management

Systems software knowledge

Networking

Distributed systems

Programming in C, C++, Rust, and Python

Communication skills

Understanding of computer architecture

Education

BS, MS, or PhD in Computer Science or related field

Job description

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.

Responsibilities

• Lead and develop a team of systems and networking engineers building distributed AI communication systems—libraries, frameworks, and system integrations.
• Set the technical roadmap in partnership with principal engineers and architects, balancing near-term delivery with long-term research bets.
• Create a culture of technical excellence and open collaboration. Handle project planning, resource allocation, and delivery timelines across concurrent workstreams.

Qualifications

• 8+ overall years of software engineering experience with advanced knowledge in systems software, networking, or distributed systems.
• 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.

Preferred

• 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.

Benefits

• Competitive salaries: Level 2 range $184,000‑$287,500; Level 3 range $224,000‑$356,500.
• Equity and generous benefits package.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.