Design, train, and evaluate state-of-the-art machine learning models for autonomous driving, simulation, and platform stacks. Lead cross-functional engineering teams to solve complex, commercial-scale problems in the autonomous vehicle domain.
The Director of Product will lead a team of product managers to define and execute product strategy, roadmaps, and development processes for autonomous vehicle technology. They will collaborate with cross-functional stakeholders to ensure product innovation, competitive advantage, and alignment with business goals.
The Lead Simulation Engineer will architect and scale the core autonomous vehicle simulation engine, including vehicle dynamics, physics, and sensor-simulation pipelines. They will also set technical direction, oversee design reviews, and mentor engineering teams while ensuring stack-wide determinism.
The Lead, Safety Assurance will serve as the primary authority on autonomous vehicle safety compliance, managing regulatory engagement and NHTSA correspondence. This role involves monitoring federal and state safety trends, conducting gap analyses, and maintaining comprehensive compliance documentation to support operational expansion.
You will design, develop, and maintain scalable real-time and historical data pipelines to support autonomous vehicle initiatives. Additionally, you will collaborate with cross-functional teams to build APIs and visualization tools while ensuring system compatibility and data quality.
The Corporate Counsel will negotiate commercial and supplier agreements and design compliance programs for data privacy and safety. They will provide legal guidance to cross-functional teams and monitor evolving laws affecting autonomous vehicle operations.
Lead the development and management of the safety strategy for autonomous vehicle systems, ensuring compliance with industry standards like UL 4600 and ISO 21448. Manage a team of safety engineers to define safety targets, validate driving behaviors, and oversee the functional safety case from conception to release.
Architect and operate data and training pipelines across cloud and cluster environments to improve the autonomous driving stack. Build and maintain distributed training, orchestration tooling, and metadata stores for evaluation workflows.
Own and execute the release process for autonomy software, managing branching strategies and go/no-go decisions. Build and maintain internal tooling for release readiness, health monitoring, and validation signal aggregation.
Leads the product safety function, driving the L4 safety case and the Driver-Out gated deployment plan for commercial expansion. Manages a multi-disciplinary team to build and operationalize the Safety Management System and define safety architecture.
The Internal Audit Manager will lead the corporate risk assessment and establish a robust internal control framework to support the company's growth. They will partner with cross-functional stakeholders to design audit scopes, monitor remediation activities, and coordinate with external auditors.
