Top Tech Jobs & Startup Jobs in Boston, MA

Lead design and build of internal web visualization tooling for ML and AV teams. Architect scalable React/TypeScript/Vue frontends, collaborate cross-functionally, drive performance and UX best practices, mentor engineers, and deliver mission-critical data-heavy UI systems.

Lead technical strategy and architecture for an AI Data Engine to accelerate ML dataset generation and data warehouse operations. Hands-on staff engineer mentoring engineers, designing scalable storage, vector retrieval, LLM/agentic workflows, and collaborating with ML research and platform teams to deliver petabyte-scale data solutions.

Lead commercialization of autonomous vehicle services from pilot to scaled fleet over a 1–3 year horizon. Drive GTM execution, build commercial models, harvest deployment insights, translate requirements to Product and Engineering, coordinate cross-functional launches, and create repeatable playbooks to improve unit economics and user experience.

Design and build large-scale mining solutions to find challenging driving scenarios, improve learned model performance, and support continuous learning. Collaborate with ML infrastructure to enable iterative mining, error analysis, training and deployment. Research uncertainty and informativeness metrics, run deep learning experiments, provide statistical insight on model uncertainty and robustness, write technical reports, and mentor junior researchers.

Develop and integrate motion-planning and decision-making algorithms for autonomous driving. Build robust, scalable C++ code and CI/CD pipelines, process and analyze vehicle field data, optimize large data pipelines, lead feature development, and mentor junior engineers.

Design, implement, and test onboard and offboard localization software pipelines for autonomous vehicles. Develop sensor processing, fusion, and SLAM for deployment, perform code reviews, mentor junior engineers, and coordinate APIs with mapping and cross-functional teams (perception, planning, controls).

The Principal Motion Planning Engineer will lead algorithm development for motion planning in autonomous vehicles, manage projects, and mentor team members.

Lead large, cross-functional technical programs for autonomy, owning model development and release cycles. Act as DRI for behavioral capabilities, integrate Prediction and ML Planning, dig into ML/behavior issues, identify and mitigate technical risks, and align roadmaps with engineering, product, and executive stakeholders to deliver driverless milestones.

Technical leader owning motion planning and trajectory optimization for production autonomous vehicles. Architect scalable C++ systems, integrate optimal-control solvers, define testing/simulation/CI tooling, lead cross-functional design, and mentor engineers to deliver safe, real-time on-vehicle implementations.

The role involves developing perception components for self-driving vehicles, analyzing system performance, and collaborating with cross-functional teams to enhance technology.