Director, Deep Learning Solutions

Details

NVIDIA is a world leader in physical AI, powering self-driving cars, humanoid robots, intelligent environments, medical devices and more. The software platforms you will help lead enable innovators to build products that save lives, improve working conditions, and elevate standards of living. This role is a hands-on engineering leadership position focused on deep learning model implementation, optimization, and delivery for edge and embedded platforms. You will inherit a cohesive, high-performing team and work closely with industry partners and customers to turn state-of-the-art models into robust, low-latency production inference solutions.

Responsibilities

• Drive strategic implementations of TensorRT inference solutions for edge devices, including Jetson, DRIVE, and GPU + x86 hardware platforms.
• Lead TensorRT releases and solutions for key verticals such as game consoles, robotics, and autonomous vehicles; set up Proofs of Readiness (PORs) and guide their implementations.
• Coordinate development and release of Torch-TRT and other alternative optimization frameworks (e.g., MLIR-TRT).
• Lead customer solutions: collaborate with major automotive and robotics OEMs and partners to adjust and optimize custom deep learning models for their requirements; provide direct customer support, debugging, technical education, and handle customer inquiries.
• Draft, negotiate, and finalize statements of work (SOWs) with customers and partners.
• Orchestrate performance benchmarking efforts to achieve leading results on industry benchmarks like MLPerf across edge devices.
• Serve as a technical leader and influencer for deep learning across multiple teams; apply customer insights to influence SOC deep learning hardware design and structure.
• Scale the team strategically: hire to meet new demands, mentor existing teams, and adjust team structure for new deep learning challenges.
• Represent NVIDIA Deep Learning Solutions in webinars, conferences, and partner events.

Requirements

• PhD or equivalent experience in Computer Science, Electrical Engineering, or a related field.
• Minimum of 8 years of meaningful involvement in machine learning/deep learning research or practical experience, plus 8+ years of leadership background and overall 15+ years of industry experience.
• Over 10 years of validated expertise in the embedded software sector with technical leadership responsibility for delivering production software in complex environments.
• Solid understanding of embedded operating system internals (QNX/Linux), memory management, C/C++, and embedded/system software concepts.
• Background in parallel programming (e.g., CUDA, OpenMP).
• Deep knowledge of GPU, CPU, and dedicated deep learning architecture fundamentals, and low-level performance optimizations using heterogeneous computing.

Ways to Stand Out

• Leadership role in production deployment of autonomous solutions for passenger cars, with deep understanding of sensing, compute, and model architecture constraints and evolution.
• Experience leading distributed teams located in multiple regions around the world.
• Experience with automotive safety standards.
• Doctorate or equivalent experience in a relevant field is welcomed.

Compensation & Benefits

• Base salary ranges by level:
  • Level 5: 308,000 USD - 471,500 USD
  • Level 6: 368,000 USD - 557,750 USD
• You will also be eligible for equity and benefits. (Refer to NVIDIA benefits page.)

Additional Information

• Applications accepted at least until October 18, 2025.
• NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.