Top Robotics Jobs

Own manufacturing processes end-to-end, from scope definition and pricing through process development, validation, deployment, and multi-site expansion. Develop equipment specifications, tooling, fixtures, SOPs, workflows, and training materials. Analyze production data to improve throughput, quality, cost, and reliability. Serve as the process subject matter expert while collaborating with operations, sales, product, engineering, and customer experience teams in a high-mix manufacturing environment.

Leads strategic finance, capital allocation, financial modeling, valuation, M&A analysis, budgeting, forecasting, and long-range planning. Partners with the CEO and COO to guide investment decisions, market expansion, pricing, and resource allocation across Diligent Robotics and Serve Robotics. Owns KPI frameworks, Pigment planning systems, executive presentations, and forecast processes, with potential to build and lead a finance team.

Leads sales-to-supply-chain alignment, demand forecasting, inventory planning, order fulfillment, logistics, warehouse operations, and robot shipment tracking. Manages a warehouse and facilities specialist, oversees carriers and freight partners, maintains ERP inventory records, develops operational dashboards and SOPs, supports invoicing and reconciliations, and improves delivery performance, cost efficiency, and spare-parts availability. The role is onsite in Runnemede, New Jersey, with travel up to 20%.

Designs and maintains CI/CD pipelines, containerized deployments, infrastructure-as-code, monitoring, developer tooling, and on-premise systems supporting robotic microfactories. Responsibilities include hardware- and software-in-the-loop testing, Linux administration, network infrastructure, security practices, incident response, and automation. The role collaborates closely with software, robotics, hardware, and QA teams and requires in-person work at the company headquarters in Sterling, Virginia.

Develop test automation tools and frameworks for cloud-based products and AI features, including skills, agents, and MCP servers. Automate test execution against deployed environments in collaboration with DevOps, identify and prioritize defects with application developers, and support QA needs through daily cross-functional communication. The role is remote, aligned to Eastern U.S. hours, with approximately two weeks of travel annually and occasional off-hours support.

Develops and productizes micro-scale actuator platforms through multiphysics modeling, custom MEMS process development, microfabrication, characterization, and manufacturing scale-up. Responsibilities include thin-film deposition and etching, materials engineering, process optimization for yield and manufacturability, SEM and C-V characterization, and accelerated stress testing.

Develops simulation and hardware-in-the-loop test environments, integrates embedded hardware and test equipment, creates automated integration and regression tests, and maintains CI/CD pipelines. Troubleshoots interfaces and communication issues across embedded and network technologies, translates requirements into traceable verification tests, and collaborates with software, hardware, systems, firmware, production, quality, and DevOps teams to investigate failures and improve product reliability.

Owns government capture from opportunity identification through contract award, with primary responsibility for converting an Air Force SBIR Phase II into Phase III and follow-on production contracts. Leads pursuit qualification, bid/no-bid decisions, proposal development, pricing input, teaming, compliance, pipeline management, and engineering requirement translation. Requires deep DoD capture experience, proven SBIR or production-contract wins, and 25–40% travel.

Design and implement safety-critical embedded C/C++ firmware for RTOS, bare-metal, and Embedded Linux platforms. Responsibilities include real-time architecture, drivers, board bring-up, hardware integration, debugging, CI/CD automation, networking interfaces, and performance optimization. The role requires collaboration on IEC 61508 safety compliance and testing using hardware-in-the-loop systems.

Build and scale end-to-end machine learning infrastructure for computer vision and multimodal AI systems. Responsibilities include developing training and deployment pipelines, managing GPU cloud infrastructure, optimizing low-latency model serving, and establishing monitoring and evaluation frameworks for reliable production performance. The role partners with research, computer vision, and product teams to operationalize models across warehouse environments.