Top Robotics Engineer Jobs in NYC, NY

Lead development of perception, mapping, sensor fusion, and calibration systems. Improve SLAM for GPS-degraded environments, automate LiDAR and imagery alignment across sessions, eliminate field extrinsic measurements, and improve data quality and scalability for large-scale mapping and analytics delivery.

Provide on-site technical ownership for robot deployments: setup, calibration, troubleshooting hardware/software/networking, lead high-quality data capture, support teleoperation workflows, coordinate with remote teams, document issues and improve field processes.

Design, program, integrate, and deploy industrial robotic solutions (palletizing, picking, goods-to-person) for fulfillment and manufacturing. Work includes robot programming, systems integration with conveyors and vision, simulation, commissioning troubleshooting, cycle-time optimization, and cross-disciplinary collaboration.

As a Robotics Engineer, you'll operate and test robot platforms, integrate sensors, manage data pipelines, and debug issues to improve model evaluation.

Design, develop, test, and debug features for autonomous construction equipment while optimizing controls systems and maintaining code quality standards.

Lead the design, development, and deployment of autonomous systems for heavy construction equipment while mentoring engineering teams and improving system performance.

Design and implement embedded hardware and firmware for a small-scale AS/RS robotics system: select microcontrollers and sensors, write and optimize firmware, create schematics and PCB layouts, perform system-level and HIL testing, collaborate with cross-disciplinary teams, and maintain design documentation through product lifecycle.

Design and develop the mechanical aspects of data-center robotics including end effectors, docking, and robot-plant interfaces. Rapidly prototype, test to failure, instrument trials, and productionize hardware with DFM, reliability, and spare strategies while collaborating closely with controls and software teams.

Design and engineer robot controls for data-center robotics: motion, safety, and facility integration. Own control-stack integration (fleet management, dispatch, telemetry), design safety architecture, commission and debug systems on-site, and meet availability targets.

Build software for data-center robotics including task planning, fleet coordination, perception, navigation stacks, and integration with company systems. Ship autonomy glue combining perception, navigation, and task logic. Own operational tooling for monitoring, teleoperation fallback, and diagnostics. Integrate robotics mission and exception data into platform. Require production robotics experience, ROS or equivalent middleware, remote-failure engineering, enterprise integration, and hardware-software debugging.

Own and run reliability and manufacturing test programs for robotic mechatronic systems through NPI to mass production. Build and maintain HQ reliability lab, define test SOPs and fixtures, implement factory and supplier testing, perform failure analysis and root cause, and report results. Coordinate with CM and suppliers and travel internationally ~10%.

Integrate drones, sensors, payloads and third-party software into a fleet management platform. Write production-quality Java, C++, and Python code, debug across software, networking and hardware, test in simulation, lab and field, and own end-to-end integrations with vendors, pilots, and product teams.

Lead the design, development, and testing of advanced robotic systems, focusing on control algorithms, electronic circuits, and integration for defense applications.

Lead field service engineer responsible for setup, maintenance, repair, troubleshooting, and uptime improvement of medical robotic systems. Leads and coaches RSE team, analyzes data logs, documents processes, coordinates with cross-functional teams, and executes process improvements while meeting safety and regulatory requirements.

The Robotics Application Engineer leads deployment of autonomous excavators, conducts site evaluations, troubleshoots issues, collaborates on technical strategy, and communicates value to customers.

Lead control quality for robotic products by designing, modeling, tuning, benchmarking, and validating control loops. Build safety-rated monitoring, debug cross-domain system issues, create test/diagnostic tooling, and advise/mentor teams to deliver stable, high-performance actuator motion.

The Technical Support Engineer will provide technical assistance and troubleshooting for UFACTORY's robotic arms and their software, enhance technical documentation, and support customer inquiries regarding SDK and APIs.

Own, maintain, and improve SLAM, VIO, and SfM pipelines; perform rigorous multi-camera and IMU calibration; ensure cross-device spatial computing robustness; build debugging and visualization tools for images, point clouds, and trajectories; support company-wide computer vision, data validation, and labeling workflows; collaborate closely with hardware teams for sensor calibration and on-site testing.

Own firmware where software meets hardware for warehouse robots: debug and fix HW/SW interface failures, tune Linux/kernel for predictable performance, implement safety systems, write device control interfaces, and define metrics for predictive hardware health.

Design, prototype, test, and release electromechanical components and assemblies for industrial robots. Create CAD models, drawings, BOMs, wiring harnesses, test fixtures, and documentation. Troubleshoot hardware failures, support builds in the lab, and collaborate with manufacturing to improve buildability and reliability.

Manage the full deployment lifecycle for retail locations, coordinating installation, network setup, configurations, and troubleshooting, while building automation and ensuring quality.

Own reliability across vehicle and cloud stacks for AUV operations: onboard Jetson/ROS2 compute, topside systems, cloud ingestion/processing and customer platform. Build automation, observability, runbooks, and self-recovery to reduce on-call toil; manage AWS infrastructure, IaC, container orchestration, and reliability targets. Participate in shared 12-hour on-call shifts and field deployments, mentor team on operational excellence.

Develop on-vehicle and simulation software across the autonomy stack: planning behaviors, sensor and payload integration, embedded/vehicle platforms, realistic UxS simulation, and electronics prototyping. Ensure reliable, testable code and support onsite test/integration events (up to 25% travel).