
Job Information
Deloitte Autonomous Vehicle Chief Solution Architect, Senior Manager - Managed AI in Sacramento, California
Autonomous Vehicle Chief Solution Architect, Senior Manager - 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
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
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.
AI&DE23
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.