NVIDIA · 11 hours ago
Director, Metropolis Accelerated and Inferencing Systems Software
Santa Clara, CA
Full-time
Hybrid
Director/Executive
$320K/yr - $489K/yr
15+ years expNVIDIA is a world leader in physical AI, powering self-driving cars, humanoid robots, intelligent environments, medical devices, and more. The company is seeking an engineering leader with deep learning expertise to architect and operationalize their data Inference Acceleration strategy while leading and developing high-performing teams.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Lead, encourage, and develop world-class engineering and data teams distributed across Europe, Asia and the United States
Architect and operationalize NVIDIA’s end-to-end data Inference Acceleration strategy, powering Inferencing and continuous performance improvements
Drive Strategic Implementations of TensorRT, VLLM and other accelerated frameworks for inference solutions for Edge and Enterprise devices: Lead Accelerated Computing efforts and solutions for key Metropolis verticals. Set up Proofs of Readiness (PORs) and guide their implementations
Leading customer solutions: Collaborate with major Metropolis OEMs and Partners to architect highly accelerated and optimized custom deep learning models and inference pipelines for their specific requirements. Offer direct customer support, including debugging, technical education, and handling customer inquiries for our Metropolis partner and customers. Responsible for drafting and finalizing SOWs with internal customers and partners
Performance Benchmarking: Orchestrate efforts to achieve leading performance results on industry benchmarks like MLPerf on various edge and Enterprise devices
Technical Leadership & Influence: Function as a technical leader for deep learning across multiple teams, giving oversight and build support. Apply customer insights to influence the composition and structure of upcoming SOC / GPU deep learning hardware
Scaling the team: Strategically hiring to meet new demands while also mentoring and adjusting existing teams to new deep learning challenges
Representing Nvidia Deep learning solutions in webinars, conferences and partner events
Qualification
Required
Masters in Computer Science/Electrical Engineering or equivalent experience
A minimum of 8 years of meaningful involvement in machine learning/deep learning research or practical experience, coupled with 7+ years of leadership background and overall 15+ years of industry experience
Over 10 years of validated expertise in the embedded software sector, holding technical leadership positions accountable for delivering outstanding production software within a multifaceted setting
Deep Knowledge of GPU, CPU and dedicated deep learning architecture fundamentals and low-level performance optimizations using heterogeneous computing
Hands-on experience with VLMs, LLMs, or multimodal AI systems applied to perception, data triage, or automated labeling
Strong expertise in large-scale data processing, systems build, or machine learning pipelines
Strong communication, careful planning, and technical leadership capabilities
Preferred
We welcome candidates with a PhD or equivalent experience in a relevant field
Leadership role in production deployment of Smart Spaces, Physical AI with a deep understanding of constraints and advancements of sensing, computing, and model architecture evolutions
Ability to lead and drive global teams across multiple continents and time zones
Deep experience with CV, LLMs, VLMs, GenAI Models, and standards
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
GlobeNewswire
2026-01-13
2026-01-13
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