Top Tech Jobs & Startup Jobs

Operate day-to-day legal operations: triage intake, run CLM workflows, manage DocuSign, maintain document repository and SOPs, support entity management, vendor/ outside counsel tracking, report metrics, and enable AI-driven self-service and process improvements.

Develop and integrate Unreal Engine-based realtime 3D simulation features, bridge the core simulation engine with Unreal, utilize Cesium for large-scale environments, customize plugins and content ingestion, deploy engines on local and cloud platforms, and optimize simulation performance and accuracy.

Build and operate end-to-end ML infrastructure: distributed cloud GPU training, datasets, training frameworks, evaluation, deployment, and integrate pipelines into product workflows while collaborating with modeling teams.

Build and maintain a calibration pipeline for multi-sensor vehicles, manage calibration lifecycle and deployment, support offline and online calibration algorithms, enable sensor fusion across cameras, lidar, radar and inertial sensors, collaborate with algorithm teams, and integrate calibration status into HMI for production workflows.

Design and implement high-performance C++ backend systems for defense autonomy products. Build scalable, reliable infrastructure for contested environments, collaborate with researchers and customers, own architecture through deployment, and support Ann Arbor site growth while interfacing with DoD programs.

Design and manage automotive wire harnesses and electrical distribution systems, create CAD models and BOMs using SolidWorks and Altium, ensure LV/HV and high-speed interconnect integrity, coordinate with OEMs, vendors, and cross-functional teams to meet program milestones and quality standards.

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.

Lead a solutions engineering team focused on pre-sales for automotive and mobility customers. Own technical presales end-to-end: customer onsites, architectural deep-dives, discovery, solution validation, and deal closure. Mentor engineers, partner with leadership and product teams, and translate complex automotive needs into winning technical solutions.

Design and execute validation strategies for autonomy modules (perception, planning, prediction, localization) for L4 trucking. Build datasets from simulation and real-world data, develop ML/statistical models and pipelines to measure safety performance, produce metrics, safety cases, and release recommendations.

Conduct cutting-edge research in reinforcement learning and VLA post-training for autonomous driving and robotics. Publish at top conferences, collaborate with engineers to test and deploy algorithms, and scale large closed-loop RL systems using industry ML infrastructure.