Top Tech Jobs & Startup Jobs in Boston, MA

Design and improve autonomous vehicle features, define system behaviors and performance targets, and collaborate across product, autonomy, operations, testing, and safety teams. Develop validation and verification suites using software integration, simulation, HIL, and closed-course testing. Establish performance monitoring, conduct safety analyses, perform root-cause investigations, and recommend corrective actions for issues found during testing or road operations.

Defines and verifies the operating domain for autonomous robotaxi deployments, collaborates with autonomy, mapping, infrastructure, and operations teams, and develops AI-powered tools to assess expansion opportunities. The role includes analyzing system performance, validating map releases against constraints, documenting tools, supporting testing and coverage analysis, and contributing to the safety case for commercial launch. Requires strong Python, SQL, visualization, version control, software development, data analysis, and communication skills.

Supports corporate and product strategy for autonomous vehicle systems and platform expansion. Develops strategic roadmaps, evaluates market and technology opportunities, conducts transportation and regulatory research, analyzes KPIs, collaborates with Engineering and Finance, and prepares executive presentations and shareholder communications. The role is based in Boston and requires regular in-office work.

As a Machine Learning Systems Engineer, you will optimize distributed training systems, enhance performance profiling, and develop high-performance GPUs for machine learning workloads.

Supports the Chief of Staff and executive team by leading high-priority cross-functional strategic projects, coordinating stakeholders, tracking execution, removing roadblocks, and preparing executive communications and briefings. The role synthesizes technical, financial, and operational information, supports strategic prioritization, improves organizational processes, and conducts rapid analysis for emerging opportunities and risks.

Lead research and development of advanced motion-planning algorithms for autonomous vehicles. Architect and integrate planning and prediction systems, build high-performance C++ software, evaluate algorithms for production deployment, collaborate with perception and control teams, and mentor junior engineers. The role emphasizes probabilistic decision-making, technical ownership, rigorous research, and reliable production engineering.

Build and scale ML development infrastructure and Agentic AI tooling. Optimize distributed training (PyTorch/DDP), improve GPU utilization, design multi-cloud Kubernetes environments, and collaborate with ML researchers and engineers to streamline the ML lifecycle.

Lead and coordinate high-priority cross-functional strategic projects for engineering leadership. Serve as CoS liaison, manage meetings and communications, synthesize technical and financial information, prepare executive briefings, prioritize the CoS calendar, improve processes, and perform ad-hoc analysis to inform strategy and shareholder communications.

Lead design and implementation of motion control and trajectory optimization algorithms for production autonomous vehicles. Build robust C++ software, evaluate control techniques, integrate with prediction and behavior teams, use simulation and CI, mentor junior engineers, and apply numerical optimization and solvers to ensure safe, comfortable vehicle motion.

Develop and maintain long-range financial models, support strategic decision-making and scenario planning, partner with operations and cross-functional teams to forecast revenue and expenses, perform unit economic and competitive analysis, and prepare presentations for leadership.