Top Tech Jobs & Startup Jobs in Boston, MA

The Software Engineer will develop algorithms and code related to AI, robotics, and sensing technologies, impacting key systems at Zoox.

As a Senior Software Engineer for performance, you will optimize performance-critical algorithms and support teams in enhancing software efficiency. Key responsibilities include building instrumentation for monitoring performance and analyzing profiling data for resource utilization.

Develop advanced Vision-Language-Action models for robotaxis, leading data strategies and improving driving behaviors using machine learning infrastructure.

Develop and integrate detection, tracking, classification, and scene-understanding ML models for on-vehicle perception. Define and implement on-vehicle tracking architecture, collaborate with model and data teams, optimize models for high-performance vehicle deployment, and work with perception input/output data.

Design and develop auto-labeling algorithms for autonomous driving, collaborating with ML engineers to enhance data quality and efficiency in model training.

Design and implement quantitative behavior metrics for autonomous vehicles, build and maintain data pipelines and dashboards, analyze large-scale vehicle logs and simulation data to identify regressions, set metric thresholds to support geofence expansion, and communicate findings to technical and non-technical stakeholders.

As a Senior Software Engineer - C++ GPU Performance, you will optimize GPU algorithms, monitor performance metrics, and influence design decisions for self-driving technology.

Lead data-quality and labeling efforts for perception ML: implement scalable quality measures, drive data-centric model improvements, maintain ontology/class structure, evaluate human vs auto-labeling trade-offs, and build metrics for labeling throughput and annotator/vendor quality.

The role involves optimizing GPU-based algorithms, developing benchmarking frameworks, analyzing performance metrics, and facilitating efficient code development for autonomous vehicle systems.

Work on perception algorithms for tracking and classification, integrating ML models into a vehicle stack, and optimizing performance in latency-sensitive systems.