Top Tech Jobs & Startup Jobs

Develop and deploy on-road behavior and planning software for autonomous vehicles, leveraging ML and perception outputs with SD maps. Implement planning modules, deploy to production hardware, test on-road, and collaborate with customer engineers.

Own and maintain HD maps infrastructure across products. Define map storage formats, distribute map data, and support UIs, data pipelines, storage, and SDKs. Collaborate with engineers and customers to design and build mapping and localization solutions.

Design, build, and scale open-source data infrastructure across collection, ingestion, storage, querying, and retrieval. Improve ingestion pipelines, expose performant query interfaces and integration hooks, and deploy reliable data platform features across cloud, hybrid, and on‑prem environments.

Optimize application-layer software for embedded autonomy platforms by profiling and tuning runtime performance, resolving resource contention, ensuring efficient concurrent execution, and deploying production code on QNX/Linux/RTOS targets while collaborating with ML runtime teams.

Lead strategic sourcing and commodity management for ruggedized defense Physical AI hardware (GPUs, FPGAs, edge compute, LiDAR/radar/EO/IR). Develop RFx strategies, ensure FAR/DFARS/DCMA/CPSR compliance, negotiate supplier contracts, reduce costs, and partner with engineering across prototyping to production.

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.

Develop high-performance motion planning modules for onroad autonomous vehicles, integrating lightweight maps and perception outputs. Ship production C++ code, deploy to vehicle hardware, test on road, and collaborate with customers to meet diverse operational design domains.

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.

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.