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Design and implement perception capabilities within a core simulation engine to detect uncertainty, degradation, and failures. Build multi-fidelity sensor simulation and workflows, define uncertainty signals that trigger safe fallback behavior, collaborate with infrastructure and sensor teams, and deploy production systems affecting vehicle safety and ODD expansion.

Customer-facing engineer who supports Vehicle OS projects for OEMs: capture and organize technical requirements, run technical meetings, track milestones, and bridge customers with Applieds engineering to advance SDV and AD/ADAS initiatives.

Build and optimize edge and cloud data pipelines to run perception models, integrate foundation models for labeling and QA, scale data engine architecture, and develop MLOps tooling. Collaborate with DoD customers and use software-in-the-loop and hardware-in-the-loop testing to accelerate model iteration and deployment to edge systems.

Develop, prototype, evaluate, and deploy ML-first behavior prediction and planning models to forecast motion and interactions of road users. Build software and infrastructure for behavior-specific ML, collaborate with perception and planning teams, and productionize models for autonomy systems.

Design, develop, and test backend and tooling for autonomy simulation products. Build features, integrate ML Sim Agent into closed-loop evaluation pipelines, optimize cloud compute/storage, and collaborate with infrastructure, robotics, and graphics teams to deliver scalable autonomy development tools.

Lead and hands-on manage development, training, evaluation, and deployment of a shared, camera-first perception model for diverse vehicle platforms and geographies. Drive model lifecycle from architecture through quantization and embedded deployment, collaborate with OEMs, perform failure analysis, and recruit and develop a perception engineering team focused on production driving outcomes.

Build and maintain Android/Android Automotive OS middleware from front-end to HAL. Collaborate across application, middleware, and hardware layers to design, implement, and ship platform features and tools for vehicle software at scale.

Partner with marketing leadership to design and execute end-to-end hiring strategies for brand, growth, product marketing, and communications. Source and attract specialized marketing talent, run structured interviews, provide data-driven hiring insights, and support team design and long-term talent strategy to accelerate hiring velocity.

Build and maintain workforce analytical models and dashboards, clean and validate HR data, produce executive reports and data-driven recommendations, support audits, and collaborate cross-functionally to improve retention, engagement, and talent programs.

Lead technical programs with DoD customers: act as single point of contact, manage project milestones and deliverables, drive proposals from RFQ, surface customer needs to internal teams, and coordinate resources and timelines. Requires hands-on program management and technical collaboration on autonomy, data, and simulation solutions.