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Design and implement high-performance world and scene representation systems (ECS, spatial indexes, 4D objects), build mapping and geometry pipelines, write optimized C++ (C++20) for real-time multi-agent simulation, drive architecture and APIs, and mentor cross-domain teams.

Design and implement high-performance world and scene representation systems for multi-agent simulations. Build spatial data structures, mapping and geometry pipelines, coordinate-frame management, and real-time updates. Write optimized C++ (C++20) for low-latency systems, define APIs for cross-domain integration, and collaborate with sensor, planning, and simulation teams while mentoring engineers.

Design and implement high-performance 4D world and scene representation systems for multi-agent simulation. Build spatial data structures, mapping and geometry pipelines, and low-latency C++ systems. Drive architecture, API design, cross-team integration, profiling and optimization, and mentor engineers to meet autonomy stack requirements across air, ground, and maritime domains.

Lead a forward-deployed engineering team to integrate and deploy Applied Intuition vehicle intelligence products for defense customers. Own end-to-end technical execution across software engineering, OS configuration, system deployment, and hardware integration while collaborating with product and customer teams to ensure mission success.

Lead design and development of live-virtual-constructive (LVC) simulation solutions for multi-agent autonomy. Design LVC architectures, build scenarios and interfaces, write performant C++/Python code, integrate third-party models and tools, contribute to CI/CD and security compliance, debug and test systems, and mentor junior engineers.

Own and standardize operational safety compliance across programs: create SOPs, incident taxonomy, compliance frameworks, fleet inspection and maintenance records, incident management (RCA/CAPA), audits, and safety evidence for customer and regulator assurance.

Define system-, hardware-, and EE-level requirements from vehicle-level requirements for a strategic Vehicle OS product. Specify EE architectures for HIL benches and rigs, capture interfaces, own requirements verification and traceability in a model-based toolchain (Cameo, Polarion), and establish ASPICE/ISO 26262-aligned processes. Coordinate cross-functionally with hardware, embedded, perception, and test teams to ensure verification coverage.

Develop and deploy ML and classical perception systems for L4 autonomous trucks: design/train 3D detection models across LiDAR/camera/radar, build sensor-fusion and tracking pipelines, operate data engines, validate safety-critical capabilities through simulation and on-road validation.

Provide legal support for U.S. and international Defense business, including reviewing and negotiating government and vendor contracts, advising on FAR/DFARS, export controls (EAR/ITAR), data rights, proposal compliance, compliance programs, internal investigations, policy drafting, and supporting international defense growth.

Design, develop and port autonomous software modules on embedded SoC platforms. Bring up embedded hardware/software, debug the autonomy stack, optimize perception models for embedded performance, interface with automotive middleware and protocols, and support vehicle operations including SIL and HIL setups while collaborating with ML and Vehicle OS teams.