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Deloitte Autonomous Vehicle Simulation Lead, Specialist Master - Managed AI in New York, New York

Autonomous Vehicle Simulation Lead, Specialist Master - Managed AI

The Team

The Deloitte Connected and Autonomous Vehicle (CAV) team is catalyzing and shaping the Autonomous Vehicle (AV) market through a suite of turnkey, as-a-service solutions that deliver improved performance and lower total cost of ownership. These solutions will empower Automotive customers to realize their autonomy ambitions as efficiently as possible.

High Level Role

We are looking for a seasoned practitioner with experience in simulation and design in the Automotive space as relates to AV development.

The simulation lead will be responsible for the following main activities:

  • Create a realistic project plan, communicate the plan to the larger team, and coordinate with other project tasks

  • Define, develop, and implement the reference stack that includes all the hardware and software components

  • Set up the overall SIL, HIL and Synthetic Data generation based environment that has both hardware and software components, third-party solutions for Environment, Traffic, Vehicle physics, Sensors, & Scenarios and NVIDIA DRIVE Sim's native capabilities to provide a more comprehensive solution

  • Perform simulation with photorealistic digital twins of real-world environments across multiple scenarios and generate output files with the fused synthetic sensor data for model training

  • Ingest the real vehicle and synthetic sensor data

  • Visualize overall vehicle behavior in real-time

  • Create a dashboard to monitor the status of the simulation service and evaluate DNN efficacy metrics

  • Generate high quality marketing collateral that can be used for internal and external business development

  • Collaborate with other teams to jointly evaluate and improve the overall solution attributes of Perception, Localization, Prediction, Planning, and Control

  • Work with the broader team to identify candidate customers, convince them to co-develop their solution (provide use-case/requirements, success criteria and evaluate the POC)

    Minimum Qualifications:

  • Bachelor's Degree in Computer Architecture, Computer Science, Electrical Engineering or related field.

  • 5+ years of experience working with automotive OEMs to deploy full vehicle solutions for vehicle dynamics and/or control

  • 2+ years of experience in the creation, simulation, evaluation and tuning of full-vehicle models that can be used for assessing driving-related vehicle scenarios that include phenomena such as acceleration/braking, steering/cornering, gearshift, and vehicle control

  • 2+ experience with Mapping (3D and/or HD mapping) tools and ISV offerings

  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve

  • Limited immigration sponsorship may be available.

    Preferred Qualifications:

  • A strong background in relevant areas such as physics-based simulation (vehicle), mathematics, and machine learning

  • Experience managing the creation/maintenance of successful commercial engineering software to provide solutions that delight customers

  • Familiarity with NVIDIA AV toolchain (DRIVE Sim)

  • Conversant with Open (open-drive, open-scenario) standards frameworks and ability to leverage this into the Simulation reference architecture for cross platform portability (non-NVIDIA environments)

  • Goal oriented and dedicated to meeting project quality and timing goals

  • Ability to motivate and inspire project team to perform at superior levels

  • Out-of-the-box, lateral thinking to find innovative solutions to problems

  • Business development skills (e.g., customer identification, communication of value proposition, etc.)

  • Advanced Degree - equivalent work experience may act as a substitute to degree requirements.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.