This role pays more than
67%
of similar roles. Most pay
$196,750–$285,858
— the shaded band above.
At the midpoint, this role pays about
$270k
versus about
$241k
for comparable roles.
Based on 240 similar postings.
Employer
About Bosch
Bosch is a global engineering and technology company supplying mobility solutions, industrial technology, consumer goods, and energy and building technology; Robert Bosch LLC is its North American arm.
Bosch currently has
34 open roles
on FindRole.
Listed pay typically runs
$165,000–$185,000
across 16 roles with salary data.
JOB TITLE: Director, Simulation and Evaluation - Autonomous Driving
The Director, Simulation and Evaluation - Autonomous Driving joins the Global AI Backbone team to architect multi-level simulation ecosystems for training, evaluating, and validating next-generation Foundation Models. This role involves defining the roadmap for high-throughput, closed-loop simulation and building infrastructure to assess the quality, safety, and realism of machine learning models for L2++ and L4 automated driving stacks. Key responsibilities include driving generative AI innovation for world models, building data pipelines for signal discovery and labeling, and establishing evaluation standards for production release. The position requires expertise in high-fidelity sensor simulation, GPU-accelerated technologies like CUDA, parallel computing, and Reinforcement Learning. Candidates must demonstrate mastery of C++, Python, and statistical validation to solve complex automated driving problems within the ADAS domain.
Define the roadmap for high-throughput, closed-loop simulation to train and validate next-generation Foundation Models.
Research and propose new methodologies to assess the quality, safety, and realism of ML models for L2++ and L4 driving stacks.
Architect evaluation frameworks and tools to enable rapid iteration of Foundation Models and measurable performance gains.
Lead the development of World Models to predict and generate complex, realistic edge cases.
Build data pipelines for signal discovery, data labeling, and metric computation based on large-scale simulations.
Establish the "gold standard" for evaluation to inform Start of Production and model release decisions.
Translate complex simulation data into technical strategy documentation for executive decision-making.
Lead and mentor a global cross-functional team of software engineers, data scientists, and ML experts.
What we're looking for
Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, Statistics, Physics, or a related quantitative field.
10+ years of experience in software engineering with a focus on embedded systems, automotive, or robotics.
7+ years of experience leading complex software projects from concept to production within the ADAS or Autonomous Driving domain.
Direct, hands-on experience with L2++ or L4 system Start of Production, specifically overseeing simulation, testing, and validation protocols.
5+ years of involvement with the development or evaluation of large-scale AI, LLMs, or World Models/Generative AI models.
Expert-level understanding of multi-level simulation platforms, including high-fidelity sensor-level and scalable object-level simulation.
Proven mastery of data-driven report writing and technical strategy documentation for executive decision-making and safety case justifications.
5+ years of experience with high-throughput simulation, GPU-accelerated technologies (CUDA), parallel computing, and Reinforcement Learning (preferred).
Reinforcement Learning
Python
C++
Deep Learning
GPU Clusters
Kubernetes
SLURM
High-Performance Computing
Data Pipelines
Simulation
Closed-Loop Simulation
PPO
GRPO
NuRec
Cosmos World Model