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About the Role

NVIDIA is seeking a Senior Software Architect to build foundational systems for next-generation agentic AI. This role involves working at the intersection of AI and systems engineering, tackling challenges in agent runtimes, inference, evaluation, and large-scale execution. The ideal candidate will possess AI breadth, systems depth, and engineering strength to architect and build scalable, production-quality systems.

Responsibilities

Architect and build scalable, reliable systems for agentic AI, spanning agent runtimes, harnesses, inference, evaluation, and orchestration.
Solve large-scale systems challenges across distributed execution, data/ETL pipelines, HPC, cloud, Kubernetes, and GPU compute environments.
Optimize systems for reliability, scalability, performance, resource utilization, and developer experience.
Prototype emerging ideas, write high-quality production code, and provide technical leadership across research, engineering, product, and infrastructure teams.

Requirements

BS, MS, or equivalent experience in Computer Science, Computer Engineering, AI, or a related field, with 12+ years of relevant industry experience.
Strong foundation in modern AI, including LLMs, multimodal models, inference, agentic AI, and evaluation.
Deep expertise in software architecture, distributed systems, and large-scale systems design.
Strong hands-on programming skills in Python, C++, Go, Rust, or similar languages, with a track record of building high-quality production software.
Background building large-scale systems involving distributed execution, data processing/ETL, workflow orchestration, HPC, cloud, or GPU infrastructure.
Ability to reason across the stack—from AI model behavior and application logic to runtime, compute, and infrastructure.
Proven ability to take ambiguous, complex technical problems from architecture through implementation and production.

Skills

AI
LLMs
Multimodal models
Inference
Agentic AI
Evaluation
Software architecture
Distributed systems
Large-scale systems design
Python
C++
Go
Rust
Production software development
Distributed execution
Data processing/ETL
Workflow orchestration
HPC
Cloud computing
GPU infrastructure
LLM/VLM inference
Model serving
Model routing
Inference optimization
AI evaluation
AI benchmarking
AI experimentation
Large-scale AI infrastructure
Reusable platform development
Heterogeneous AI workloads
Heterogeneous compute environments

Experience Level

Senior
12+ years of relevant industry experience

Education Level

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

Salary/Compensations

224,000 USD – 356,500 USD for Level 5
272,000 USD – 431,250 USD for Level 6

Benefits

Equity
Benefits

About the Company

NVIDIA is tapping into the unlimited potential of AI to define the next era of computing.
NVIDIA uses AI tools in its recruiting processes.

Equal Opportunity

NVIDIA is committed to fostering an inclusive 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.