Jobs at Associated Industries of Massachusetts

Designs and builds AIM’s safety-critical operator UI, multi-tenant SaaS portal, and shared design system. Responsibilities include developing real-time 3D interfaces with Three.js, teleoperation controls, live video and telemetry integrations, authorization and internationalization features, and production-grade TypeScript and React applications. The role leads architecture, testing, accessibility, performance, observability, code reviews, cross-functional delivery, root-cause analysis, and mentoring while ensuring reliable operation in industrial field environments.

Lead product safety for autonomous earthmoving machines by defining safety roadmaps, requirements, architectures, risk analyses, verification frameworks, and certification strategies. Build and lead the safety engineering team, collaborate across hardware, software, autonomy, controls, and product teams, manage certification agencies, and analyze incidents, near misses, and fleet telemetry to identify emerging risks.

Own system-level safety architectures and workstreams for autonomous heavy machinery. Lead hazard analyses, define safety requirements and fail-safe behaviors, develop safety cases and traceability, establish verification and validation strategies, and assess human-machine interaction and emergency-stop behavior. Partner with multidisciplinary engineering teams to validate safety in production systems, while analyzing incidents, near misses, telemetry, and field testing to identify emerging risks.

Develop and maintain automated Hardware-in-the-Loop testing infrastructure for embedded software and hardware systems. Build Python-based test automation, expand coverage across controllers and machine interfaces, integrate hardware, troubleshoot electrical and software issues, investigate failures, improve diagnostics and repeatability, and support continuous verification for autonomous heavy equipment.

Designs and delivers production firmware for autonomous heavy machinery, including embedded C++ systems, drivers, hardware abstraction layers, communication interfaces, real-time control, safety mechanisms, telemetry, and diagnostics. Owns hardware bring-up, integration, validation, performance optimization, field reliability, and firmware development practices. Collaborates across electrical, mechanical, software, autonomy, and operations teams while mentoring engineers and improving testing and deployment workflows.

Define and drive functional safety strategy for autonomous heavy equipment. Develop hazard analyses, risk assessments, safety requirements, safety mechanisms, verification strategies, and safety cases across embedded hardware and software. Collaborate with firmware, electrical, robotics, and systems teams; investigate safety defects, assess release readiness, establish scalable safety processes, and support certification and field deployment of safety-critical products.

Own the end-to-end sensor architecture for an autonomy platform, including modality and sensor selection, placement, compute integration, requirements, validation, calibration, and field deployment. Lead trade studies, ruggedize systems for heavy equipment and degraded conditions, diagnose hardware-software failures, manage suppliers, and establish technical standards. Provide cross-functional technical leadership across hardware, perception, software, and vehicle teams while helping build the sensor systems organization.

Lead the development and deployment of learned autonomy skills for heavy equipment. Build robot-learning proof of concepts, define technical roadmaps and system architectures, implement reinforcement and imitation learning policies, develop data and training workflows, transfer policies from simulation to physical machines, integrate with robotics systems, and establish reliable evaluation. The role requires hands-on coding, hardware debugging, cross-team technical leadership, mentoring, and delivery of production-quality autonomy capabilities.

Develops control algorithms and production controls software for autonomous heavy equipment. Responsibilities include modeling machine dynamics, designing and tuning feedback and feedforward controllers, conducting system-identification experiments, integrating software with embedded and autonomy systems, validating performance from simulation through field trials, analyzing telemetry, and troubleshooting physical machines. The role collaborates across software, electrical, mechanical, systems, safety, and field engineering teams to improve machine precision, reliability, and safety.

Lead product marketing for robotics and autonomous heavy-equipment solutions. Create enterprise buyer materials, ROI calculators, use cases, messaging, content, customer communications, and sales enablement resources. Establish category leadership, secure media coverage, execute measurable marketing plans, and track engagement, meetings, conversion, and revenue impact. Partner closely with product, engineering, sales, business development, field operations, executives, and customers.

Build and lead HR foundations for a robotics startup, including talent development, performance management, career growth, succession planning, retention, compensation, role leveling, HRIS implementation, employee relations, compliance, and policy communication. Partner with executives and managers to translate business goals into people objectives, measure HR outcomes, automate processes, and manage complex employee cases.

Designs and delivers rugged mechanical systems for autonomous heavy equipment, including sensor mounts, compute enclosures, structural brackets, safety housings, and environmental protection systems. Responsibilities span CAD, FEA, prototyping, testing, failure analysis, manufacturing documentation, vendor collaboration, cross-functional integration, and field debugging. The role also mentors engineers and improves mechanical engineering standards, validation practices, and design processes.

Design and build production-grade TypeScript React applications and a robust design system for safety-critical Operator UIs and a multi-tenant SaaS portal. Implement 3D scenes, real-time data flows, teleop controls, and observability; lead architecture, code reviews, and collaborate with deployment engineers to iterate from field feedback.

Lead complex, cross-functional programs spanning hardware, robotics, autonomy, firmware, embedded systems, and cloud infrastructure. Define roadmaps, requirements, success metrics, and execution mechanisms while managing risks, dependencies, testing, deployment, safety, and customer readiness. Partner with engineering, field operations, OEMs, vendors, and customers to deliver reliable autonomous heavy machinery programs across global deployments.

Design, develop, and deploy robust multi-sensor SLAM, state estimation, and automated sensor calibration pipelines. Build production localization and mapping systems for real-time edge deployment, integrate SLAM with perception, planning, and controls, and use field data to debug, validate, and improve system reliability in harsh, dynamic environments.

Lead the system-level safety architecture and validation framework for autonomous heavy machinery. Define safety requirements, perform hazard analyses (FMEA/HAZOP/FTA/STPA), design redundancy and fail-safe behaviors, lead verification/validation (simulation, SIL, HIL, field testing), build fleet safety observability, and drive incident analysis and continuous learning across engineering and operations teams.

Design and implement AIM’s safety-critical Operator UI, multi-tenant admin portal, and shared design system. Build high-performance 3D visualizations, real-time telemetry integrations, accessible component APIs, and robust testing/CI workflows. Collaborate cross-functionally, mentor engineers, improve developer experience, and ensure UIs operate reliably in harsh field conditions.

Develop, implement, and validate production-level control and learning algorithms (MPC, RL, IL) for real-world embodied robotic systems. Design experiments to improve robustness and adaptability, integrate AI control stacks with perception and systems engineering, and use simulation and digital twins to accelerate deployment.

Design, architect, and deliver ruggedized electrical subsystems for autonomous heavy machinery. Own PCB lifecycle with Altium, run SPICE simulations, validate hardware with lab instruments, design wiring harnesses, ensure EMI/EMC and functional safety compliance, collaborate cross-functionally, scale prototypes to production, and mentor junior engineers.

Design, test, and debug electrical subsystems for autonomous machines: schematic capture and PCB support, power distribution, sensor and communication integration (CAN, UART, SPI, I2C, Ethernet), hardware bring-up and validation with lab tools, field troubleshooting, reliability testing, and cross-disciplinary collaboration with software, autonomy, mechanical, and field teams.