Top Robotics Jobs in Boston, MA

Leads the Lab Engineering function supporting reliability and system testing. Owns prototype and test labs, machine shop, 3D printing, facilities, equipment, safety, calibration, capacity planning, workforce management, budgets, and external fabrication partners. Oversees development of test rigs and fixtures, equipment installation and maintenance, and scalable test infrastructure for robotics programs.

Leads the Operations workstream for new product introduction projects from prototype through production transition. Manages manufacturing, supply chain, quality, materials, tooling, equipment, factory readiness, schedules, risks, phase-gate deliverables, and cross-functional issue resolution. Coordinates prototype and pilot builds, drives production readiness, supports process validation and corrective actions, and provides status updates to project and Operations leadership.

Develop and own computer vision and deep learning systems for real-time crop-spraying applications. Build models for segmentation, classification, optical flow, and 3D reconstruction; optimize them for edge devices; and establish production MLOps, testing, and deployment practices. Collaborate with hardware, firmware, software, and product teams, analyze field performance, manage data pipelines, and continuously improve model accuracy, reliability, and inference speed.

Provide high-level support to C-suite executives by managing complex calendars, meetings, travel, communications, expenses, confidential information, and cross-functional initiatives. The role requires proactive problem-solving, executive judgment, stakeholder coordination, and polished communication. The Executive Assistant will also plan events, support budgets, collaborate with other assistants, and use AI and automation tools to streamline executive workflows.

Lead NVIDIA’s Federal and SLED General Accounts sales team, managing Account Managers across government, higher education, and research customers. Develop go-to-market strategy, pipeline, demand generation, forecasting, revenue performance, and regional growth. Build executive relationships and coordinate technical, product, marketing, developer, and partner resources. The role requires extensive public-sector technology sales experience, leadership capability, knowledge of government procurement and buying cycles, and the ability to sell advanced AI, accelerated computing, and infrastructure solutions.

Design, build, and operate core cloud-native infrastructure services for NVIDIA DGX Cloud. Develop scalable, secure microservices and automation for provisioning and lifecycle management, integrate internal and external platforms, and implement observability and security to ensure reliable, global production operations.

Lead hands-on embedded firmware development, architecture, debugging, integration, and production support. Develop RTOS-based firmware, drivers, and communication stacks; integrate software with custom hardware, sensors, and control systems; troubleshoot board-level issues using bench tools; lead technical reviews and roadmap planning; mentor engineers; improve development processes; and communicate technical risks and solutions to engineering and customer stakeholders.

Manage post-sales order fulfillment by reviewing order accuracy, scheduling deliveries, coordinating inventory and shipment priorities, updating ERP and order management systems, resolving fulfillment issues, communicating status to customers and internal teams, and supporting process improvements. The role also assists with urgent orders, follows fulfillment controls, and provides post-sales support to Sales and Customer Service.

Develop and integrate software for humanoid robots by combining perception, planning, locomotion, and manipulation systems. Responsibilities include defining subsystem interfaces, bringing up hardware, calibrating sensors, productionizing research code, building integration tests and diagnostics, optimizing real-time performance, and implementing fault monitoring and recovery. The role also coordinates integration milestones and validates robotic systems across simulation and real-world hardware.

Provides remote technical support for deployed AI-powered robotic systems, diagnosing hardware, software, networking, and integration issues. Owns customer incidents, performs root cause analysis, develops support tools and documentation, supports updates and deployments, and collaborates with engineering and deployment teams. Participates in on-call coverage and travels internationally for onboarding and periodically across North America.

Design and develop intuitive interfaces for autonomous vessel control, monitoring, and mission management systems. Translate complex workflows into user-friendly experiences, create prototypes and reusable UI components, conduct usability testing, and develop visualizations for real-time operational data. Collaborate with product, engineering, and end users to integrate interfaces with APIs and real-time data streams while supporting safe, efficient decision-making.