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Deloitte Autonomous Vehicle Chief Solution Architect in Hartford, Connecticut

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

The CAV team is hiring a Chief Solution Architect to lead the development and implementation of the as-a-service solutions. The initial focus will be progressing our AV Development and Testing offerings and then architecting our AV Simulation as a Service offerings. The Chief Solution Architect will be responsible for leading technical development on the following AV Development and Testing offerings:

  • Infrastructure as-a-Service

  • MLOps as-a-Service

  • Data Management as-a-Service

  • Synthetic Data Generation as-a-Service

Specifics:

  • Design and implement efficient throughput, utilization and scalable environments (both in Cloud and On-Prem) running highly parallelized jobs across multiple clusters

  • Design for optimized performance and "push-button" automation for AI Model Training and Inferencing test runs including considerations for network switch & fabric, storage & caching, cluster orchestration, and run-time optimization

  • Lead the development of customizing an MLOps platform that is specific for AV use cases

  • Architect and implement data pipelines that efficient ingest petabytes of fleet car data into a central data lake while ensuring the proper indexing, data quality checks, and coarse labeling

  • Leverage third-party synthetic data generation software to be specific for AV

  • Architect solutions that resolve painpoints within the AV simulation space

  • Work directly with key AV customers to understand their technology and deliver the best solutions

Qualifications

  • Masters or equivalent experience in Computer Architecture, Computer Science, Electrical Engineering or related field

  • 6+ years of proven experience in designing and developing production level software that includes distributed backend systems, AI, and web application development

  • Must have the trail-blazing DNA (i.e. passion, skills, bootstrap with learning and research) and strong executive presence and communication skils

  • Familiarity with the Autonomous Vehicle Development lifecycle

  • Experience in HPC/AI distributed computing environments leveraging Kubernetes orchestration and SLURM schedulers + optimization

  • Well-versed with orchestration and scheduling of multiple parallel experiments (AI models for training for example) in pooled GPU resources in a Kubernetes cluster for maximizing utilization, throughput, and priorities

  • Extensive experience with Cloud, On-Prem, and HPC technologies

  • Strong understanding of production-grade data architectures

  • Possess advanced programming skills to build distributed storage and compute systems, backend services, microservices, and web technologies

  • Knowledge of software in the loop and hardware in the loop testing

  • Knowledge of TensorFlow, PyTorch, and other Deep Learning frameworks

  • Willingness to travel (25%) periodically - as future will allow given current COVID19 restrictions

    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.

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