This role pays more than
94%
of similar roles. Most pay
$213,375–$277,700
— the shaded band above.
At the midpoint, this role pays about
$349k
versus about
$246k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1371 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1096 roles with salary data.
As the Director, AV Simulation Product Management, you will lead the product vision, strategy, and roadmap for a comprehensive autonomous driving simulation platform. You will manage the end-to-end product lifecycle, overseeing tools for neural reconstruction (NuRec), generative simulation (Cosmos Sim), synthetic data generation (Cosmos Transfer), data curation (Cosmos Curator and Dataset Search), and closed-loop policy evaluation (AlpaSim). This role involves building partnerships with OEMs and robotaxi operators to translate fleet data workflows and sensor modeling requirements into executable product features. You will manage a team of Product Managers while tracking metrics like reconstruction fidelity and scenario coverage. The role requires expertise in 3D Gaussian Splatting, neural rendering, and reinforcement learning workflows. You will solve critical challenges in sim-to-real transfer to help developers bridge the gap between virtual training and safe real-world deployment.
Define and own the long-term product vision and roadmap for the autonomous vehicle simulation platform.
Manage the end-to-end product lifecycle from requirements definition through engineering execution and customer adoption.
Build partnerships with OEMs and AV developers to identify unmet needs and co-develop platform capabilities.
Translate fleet data workflows and sensor modeling requirements into executable technical specifications for research and engineering teams.
Establish and track key performance metrics like scenario coverage and reconstruction fidelity to guide product prioritization.
Collaborate with go-to-market and developer relations teams to drive platform adoption and communicate value propositions.
Lead, mentor, and grow a team of Product Managers focused on autonomous vehicle simulation.
Represent the company's simulation vision at industry events, safety forums, and executive briefings.
What we're looking for
Product management experience delivering complex technical platform products at scale.
5+ years in a senior or director-level product management role with experience leading and growing high-performing teams.
Deep understanding of autonomous driving development workflows, including sensor data pipelines, closed-loop simulation, and synthetic data generation.
Hands-on familiarity with neural reconstruction, 3D Gaussian Splatting, or sensor simulation techniques.
Proven ability to build multi-year product strategy in high-ambiguity environments and drive cross-functional execution.
Experience building developer or enterprise platform products using APIs, SDKs, and open ecosystems.
BSc or MSc in Computer Science, Electrical Engineering, Robotics, or a related technical discipline, or equivalent experience.
Direct experience with AV simulation platforms, NVIDIA's ecosystem, sim-to-real challenges, or reinforcement learning workflows (preferred).
Deep Learning
Computer Vision
Transformers
Python
C++
PyTorch
JAX
TensorFlow
NVIDIA DRIVE
Multi-sensor Fusion
3D World Reconstruction
Active Learning
Synthetic Data Generation
ISO 26262
CNNs
Foundation Models
Sim-to-Real
ONNX Runtime
PyTorch
Windows AI
Generative AI
LLMs
Agentic AI
RAG
Hugging Face
OpenVINO
TensorRT
CoreML
RoCm
MLIR
Quantization
Kernel Fusion
Graph Optimization
CPU
GPU
NPU