Argo AI Autonomous Vehicle Systems Engineer/Technical Lead Validation, Senior Consultant

Position Summary



Argo AI Autonomous Vehicle Systems Engineer/Technical Lead Validation, Senior Consultant - Managed AI

Work you'll do
Deloitte is seeking to develop an open, extensible, and integrated end-to-end solution & service for delivering an agile and cost effective tool-chain and process for the AV (Autonomous Vehicle) development lifecycle. The solution has multiple modules that need to be brought together “as-a-service” through workflow automation. Key modules include: sensor data collection and management, enabling autonomous driver (AV stack) development, simulation and validation of the AV driver behavior in various test scenarios with playback, an automated model management environment (ML Ops) for fine tuning the driver DNNs, driver deployment, and field testing feedback to evaluate overall vehicle behavior prior to release.

Autonomous Vehicles and dashboard for monitoring status of the experiments (runs) & DNN efficacy metrics. The main purpose of simulation is to mimic field testing in a realistic way so that the synthetically generated data can be used in conjunction with field test data to speed up autonomous vehicle development at lower cost. These simulations will have two modalities – SIL (Software in the loop running with synthetic data) and HIL (Hardware-in-the-loop) with real fleet data. The dashboard is meant to summarize and visually present the instantaneous state (current or historical) of the AV development and measures against target acceptance criteria (perception, localization, mapping)

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

Responsibilities
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 environment that has both hardware and software components,party solutions for Environment, Traffic, Vehicle physics, Sensors, & Scenarios and NVIDIA DRIVE Sim’s native capabilities to provide a more comprehensive solutionPerform simulation with photorealistic digital twins of real-world environments across multiple scenarios and generate output files with the fused synthetic sensor data for model trainingIngest the real vehicle and synthetic sensor dataPerform the autonomous vehicle (DNN) training in SIL modeVisualize overall vehicle behavior in real-timeCreate a dashboard to monitor the status of the simulation service and evaluate DNN efficacy metricsGenerate high quality marketing collateral that can be used for internal and external business developmentCollaborate with other teams to jointly evaluate and improve the overall solution attributes of Perception, Localization, Prediction, Planning, and ControlWork 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)Technical Skills
+3 years' 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 controlA strong background in relevant areas such as physics-based simulation (vehicle), mathematics, and machine learning2+ years prior experience working with automotive OEMs to deploy full vehicle solutions for vehicle dynamics and/or controlManaging the creation/maintenance of successful commercial engineering software to provide solutions that delight customersConversant 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)Experience with Mapping (3D and/or HD mapping) tools and ISV offeringsPreferred Skills
Familiarity with Nvidia AV toolchain (DriveSim)Managing the creation/maintenance of successful commercial engineering software to provide solutions that delight customersConversant 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)Experience with Mapping (3D and/or HD mapping) tools and ISV offeringsGoal 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 problemsBusiness development skills (e.g., customer identification, communication of value proposition, etc.)Minimum Qualifications
 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.The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is $119,000 to $199,000. 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

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