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.

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

Designs, programs, integrates, commissions, and supports industrial robots, cobots, AMRs, AGVs, and related automation systems. Integrates robotics with safety systems, vision, PLCs, industrial software, and operational workflows. Uses simulation and digital twins for validation and virtual commissioning, supports autonomy and orchestration capabilities, conducts testing, troubleshoots hardware and software, and documents production systems. Requires at least three years of relevant experience and up to 75% travel.

Support the installation, commissioning, testing, troubleshooting, and operation of robotic food-service systems across restaurant deployments. Work hands-on with mechanical, electrical, controls, software, and integration components, including conveyors and collaborative robot arms. Contribute to prototyping new automation concepts, sustaining existing kitchen equipment, improving reliability, and creating deployment and operational playbooks. Collaborate with engineering teams, restaurant operations, and vendors to investigate issues and scale repeatable automation deployments.

Own the technical architecture, strategy, and roadmap for an autonomous construction robotics stack spanning localization, planning, controls, and safeguarding. Make build-versus-reuse-versus-buy decisions, design safety systems, guide integration and field validation, establish shared technical foundations across autonomy programs, and mentor engineers. The role requires architecting and shipping production autonomous systems, strong compiled-language software skills, broad systems judgment, and 10+ years of relevant experience.

Lead onsite discovery, design, integration, programming, and commissioning of industrial robotics cells for enterprise distribution centers. Own robot motion, palletizing and sortation logic, functional safety, controls interfaces, vision-to-motion workflows, failure recovery, operator interfaces, testing, documentation, and customer handoff. Collaborate directly with distribution, engineering, IT, maintenance, and EHS stakeholders while converting customer-specific solutions into reusable platform capabilities.

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.

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.

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.

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.

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.

Provide technical leadership and architectural direction for complex robotics software supporting autonomous platforms. Design fault-tolerant systems for vehicle control, motion planning, localization, perception, controls, and fleet management. Collaborate across robotics, hardware, machine learning, perception, systems engineering, and product teams; establish software standards, testing, deployment, and validation practices; debug hardware-software integrations; and mentor engineers. The role focuses on reliable, safety-critical production software for autonomous agricultural and heavy machinery.

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 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%.

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

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

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.

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).

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.