The Internal Audit Manager will lead the corporate risk assessment analysis and establish an internal control framework to support the company's growth. They will partner with cross-functional stakeholders to define audit scopes, execute testing, and provide recommendations for remediation and process improvements.
You will lead a team of full-stack and infrastructure engineers to manage the deployment, scaling, and operational health of simulation infrastructure. You will also drive the strategic roadmap for web applications and tools while fostering a culture of engineering excellence.
You will own the latency, throughput, and memory utilization for the real-time decision-making pipeline of autonomous vehicles. This involves profiling the stack, enforcing performance budgets, and building execution guardrails to ensure deterministic performance.
Evaluate simulation test results to drive safety and release decisions while leading team code quality and design reviews. Communicate complex analytical findings and model performance metrics to stakeholders through clear visualizations.
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, 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.
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.
