- 16+ overall years in technical roles with a recent long-term focus on AI infrastructure and more recent direct experience in large-scale inference orchestration. Proven track record building secure, highly available, and durable production distributed systems.
- 7-10+ years of leadership experience
- BS/MS or higher or equivalent experience in systems / software engineering, or related engineering fields
- Deep Technical Expertise: Proficiency in GPU architecture, hardware acceleration, and low-level performance tuning (CUDA, kernels) alongside cloud-native architectures for multi-tenant model serving.
- Proven success delivering high-impact technically complex solutions that achieve high levels of transparency into resource utilization, performance, and operational insights.
- Technical Leadership: Develop and advance consensus and organizational alignment across technical leadership and the highest level of senior corporate leadership. Ability to synthesize cross-functional needs into architecture and design while guiding internal execution across diverse teams.
- Communication and Teamwork: Strong collaboration and influence skills, capable of leading engineering engagement, communicating with peers, partners, and working with high performance and accelerated computing customers.
Ways to Stand Out from the Crowd
- Application of Artificial Intelligence: Real world experience building the systems to support AI/ML workloads.
- Industry Expertise: Direct experience in designing, developing, delivering and operating secure, highly available, scaled out systems in enterprise and cloud environments.
- Engineering Enablement: Demonstrated history of creating scalable processes and extensible systems that facilitate cross-functional collaboration and operations at scale.
- Open Source Collaboration: Familiarity with open source ecosystems and projects (e.g. Dynamo, TensorRT-LLM, vLLM, SGLang, Ray). Ability to collaborate and influence in open source project governance to represent NVIDIA, customers, and partners interests in technical alignment and direction.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you!
With competitive salaries and a generous benefits package (www.nvidiabenefits.com), 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 outstanding growth, our best-in-class 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 other objective job-related factors. The expected base salary range for this position is 320,000 USD – 488,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.