Top Tech Jobs & Startup Jobs in Boston, MA

Diagnose and resolve production issues affecting robots through logs, telemetry, video, and remote debugging. Develop and ship small software fixes, UI improvements, hardware error messages, and feature updates. Track recurring issues, document root causes, improve support playbooks, and escalate larger problems to core software teams. The role includes customer-facing collaboration, frequent interruptions, fixed weekday shifts, and shared nights-and-weekends on-call coverage.

Leads Tutor’s hardware engineering organization across mechanical, electrical, firmware, embedded, and manufacturing engineering. Owns the hardware roadmap with the CTO, grows and develops engineering teams and managers, and ensures robots are designed, manufactured, tested, and shipped reliably at scale. The role requires extensive experience leading large hardware organizations, delivering complex electromechanical products in volume, and collaborating closely with technical founders or CTOs.

Debug failing robots and electromechanical subassemblies to root cause, resolve production-floor issues, and escalate design problems with data. Build bench fixtures, hardware-in-the-loop rigs, factory acceptance tests, and automated Python test sequences. Log results, improve traceability, and convert recurring failures into new tests and process improvements while collaborating closely with production technicians.

Lead Tutor Intelligence’s company-wide operating system during rapid growth. Own the operating plan, OKRs, scorecard, planning cycles, business reviews, cross-functional execution, major organizational changes, and resolution of high-priority problems. Partner with Finance on annual planning and ensure revenue, production, hiring, and fleet commitments align. Report to the CEO, advise the leadership team, and build trusted metrics and internal tools for company operations.

Own recruiting coordination for all roles, including scheduling screens, onsite interviews, and debriefs across teams and time zones. Manage onsite logistics, candidate arrivals, ATS accuracy, and candidate communications. Build AI-powered workflows for availability, invitations, reminders, and scorecard follow-ups. The role requires urgency, ownership, strong attention to detail, clear writing, and onsite availability in Watertown, Massachusetts.

Provides real-time technical support for a deployed robot fleet, diagnosing issues, assisting customers, managing escalations, monitoring performance, documenting resolutions, and improving troubleshooting playbooks and support processes. The role works closely with customers, engineers, and managers in a fully in-person, 24/7 shift-based operation requiring weekend and holiday coverage.

Define and build manufacturing, component, returned-part, and factory acceptance tests for electromechanical robots. Create procedures, fixtures, automated scripts, diagnostic tools, and failure-analysis processes. Debug hardware on the production floor, analyze manufacturing and field failure data, improve test coverage, drive corrective actions, and ensure results are traceable through MES and serial numbers.

This evergreen general application invites builders, engineers, and other professionals interested in contributing to Tutor Intelligence’s vertically integrated robotics company. Applicants should demonstrate ownership, curiosity, adaptability, collaboration, technical depth, and clear communication. Candidates must submit a LinkedIn profile and may include a resume, portfolio, GitHub, papers, or PDFs, along with the work and ideas they would like to pursue.

Own the full enterprise sales cycle for AI robotics solutions, from prospecting and discovery through demonstrations, pilots, business cases, negotiations, and contract execution. Build strategic relationships with logistics, distribution, manufacturing, and warehouse customers; develop multi-site opportunities; manage pipeline and forecasts; and collaborate with technical, product, and deployment teams to ensure successful implementation and account growth.

Own the software infrastructure supporting robot data collection and experimentation. Build robot-side and backend services, data pipelines, telemetry, deployment systems, and operator tools. Improve observability, reliability, testing, recovery, and rollback while diagnosing failures across devices, Linux, networking, concurrency, and storage. Collaborate with researchers and operators to prioritize improvements, document systems, and deliver durable fixes that increase experiment throughput and data quality.