Top Tech Jobs & Startup Jobs in Boston, MA

Leads rigorous evaluation methodologies for autonomous vehicle performance using statistical analysis, machine learning, simulation, and on-road data. Develops metrics, detects drift and anomalies, identifies edge cases, correlates simulation with fleet data, and strengthens launch-readiness and safety decisions. Partners with engineering, safety, and operations teams, communicates findings to leadership, establishes developer self-service tools, and mentors colleagues.

Finds, develops, and produces stories highlighting company innovation, teamwork, and technical achievements. Responsibilities include interviewing subject matter experts, translating complex AI concepts, writing blogs and social content, creating storyboards, capturing photography and video, and editing short-form assets. The role adapts content for internal and external audiences and requires a portfolio demonstrating writing, scripting, photography, videography, and social media work.

Lead architecture and development of advanced perception systems for Level 4 autonomous vehicles. Build multimodal foundation models, synthetic data and sensor simulation capabilities, knowledge-distillation pipelines, and efficient real-time onboard models. Deploy solutions to autonomous vehicle fleets while mentoring engineers and providing technical leadership. The role focuses on object detection, segmentation, tracking, classification, sensor fusion, closed-loop evaluation, and robust generalization across vehicle generations.

Designs system architectures, requirements, interfaces, and performance metrics for robotaxi systems spanning autonomy, remote operations, fleet orchestration, mapping, and customer-facing software. Evaluates system performance through data pipelines, simulation, verification, and validation campaigns; collaborates across engineering and operations teams; documents complex workflows; and supports safety-focused autonomous vehicle deployment.

Lead data science strategy for autonomous vehicle fleet and simulation data. Build statistical, predictive, and generative models to assess safety and performance across operating conditions, translate telemetry into launch-readiness metrics, support rapid operational investigations, and advise autonomy and systems teams. Mentor and scale a four-person team while communicating analytical findings to engineers and executives.

Build and operate scalable data infrastructure, including fault-tolerant pipelines, data discovery services, and data lineage systems. Develop backend services that process petabytes of data for machine learning and autonomy teams. Lead system design, code reviews, and technical contributions while using AWS cloud ETL technologies and distributed systems. Collaborate with stakeholders to improve platform adoption and address data customer needs.

Build and maintain automated software release and validation infrastructure for autonomous vehicle software. Responsibilities include enforcing release quality gates, managing branching and release governance, supporting cross-functional patch integration, monitoring release metrics, identifying build bottlenecks, and developing automation scripts for reliable, scalable workflows. The role requires Git, Python, CI/CD expertise, and experience with autonomous driving, robotics, or complex software release environments.

Lead and manage the AI Data Engine team, focusing on ML dataset generation and acceleration of data pipelines while collaborating with cross-functional teams.

Develop and maintain simulation, analysis, debugging, visualization, and rerun tools for autonomous driving software. Build high-performance C++ tools and Python backend tooling, enable parameter overrides and local or cloud-based execution, and create GUI or web-based visualizers for step-through behavior analysis. Collaborate with planning and controls engineers, optimize tool performance, and support automated root cause analysis across complex autonomy codebases.

Develop trajectory generation and motion planning algorithms for production autonomous vehicles. Responsibilities include trajectory optimization, performance-critical C++ software development, simulation and testing, code and design reviews, collaboration with planning, prediction, and controls teams, technical roadmap development, and mentoring junior engineers. The role requires expertise in MPC, numerical optimization, vehicle dynamics, control, and autonomous driving systems.