Jobs at Locus Robotics

Manage customer success for deployed robotics systems by overseeing site operations, deployments, technical escalations, maintenance, upgrades, change requests, performance metrics, contractual compliance, and continuous improvement. Partner with customers and internal teams to resolve issues, improve adoption, and scale system capabilities. The role requires strong project management, technical communication, logistics or warehouse operations experience, and up to 50% travel to customer sites.

Own and advance a SimPy-based discrete-event simulator for warehouse robotics, improving its realism, reliability, testing, and experiment infrastructure. Compare simulations with real operational data, tune parameters, reduce the sim-to-real gap, and develop scalable Gymnasium-style reinforcement learning environments. Train and evaluate learning-based policies, assess transfer to real-world fleets, productionize ML components, and communicate findings to technical and business stakeholders.

Leads the Robotics Support Specialists team, overseeing technical support operations, SLA performance, incident response, customer escalations, workforce planning, and continuous improvement. Develops team members, establishes support standards, manages Salesforce dashboards and playbooks, and partners with Engineering, Customer Success, and Field Services to resolve recurring issues and improve customer outcomes. The role is hybrid in Wilmington, Massachusetts, with occasional after-hours support for critical incidents.

Own and grow Locus Robotics’ global social media presence across LinkedIn, YouTube, Instagram, and other channels. Develop social strategy, editorial calendars, platform-native multimedia content, short-form video, photography, graphics, and customer storytelling. Collaborate with global marketing, PR, sales, events, product, and leadership teams. Track performance, analyze audience and content data, and continuously optimize channel strategy, formats, and engagement.

Build and deploy enterprise AI agents, assistants, and automated workflows that improve internal business processes. Partner with stakeholders to identify opportunities, integrate AI solutions with enterprise systems and data, and develop secure retrieval and grounding capabilities. Responsibilities include production deployment, testing, monitoring, observability, access controls, evaluation, cost management, and measuring business impact. The role also develops reusable AI components and promotes responsible enterprise AI adoption.

Lead the software roadmap and productization of NeuraGrasp robotic grasping technology. Architect and develop production software in Python and/or C++, integrate software with robotic hardware and perception systems, and lead testing, deployment, monitoring, and field activities. Manage and mentor engineers, coordinate cross-functional technical initiatives, establish engineering standards, develop performance and experimentation tooling, and use operational data to improve robotic system reliability and performance.