Hive Autonomy
Jobs at Hive Autonomy
Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.
Success! We'll use this to further personalize your experience.
Recently posted jobs
Artificial Intelligence • Logistics • Robotics • Automation
Build Hive’s US market for autonomous heavy machinery by generating pipeline, targeting industrial accounts, managing complex deals end to end, launching initial customer deployments, expanding accounts, and creating the US sales playbook. The role requires an established industrial network, consultative selling ability, technical fluency, quota achievement, multi-stakeholder deal experience, and willingness to travel nationwide.
Artificial Intelligence • Logistics • Robotics • Automation
Designs and integrates electrical systems between Hive autonomy hardware and customer vehicles. Responsibilities include analyzing vehicle architectures, designing wiring harnesses and low-voltage power distribution, selecting electrical components, defining CAN and J1939 interfaces, producing schematics and BOMs, validating electrical performance, troubleshooting vehicle systems, supporting safety reviews, and guiding technicians during installation and testing.
Artificial Intelligence • Logistics • Robotics • Automation
Owns end-to-end integration of autonomous vehicle retrofits, from vehicle assessment and mechanical installation through system bring-up, debugging, testing, field commissioning, and customer acceptance. Coordinates mechanical, electrical, embedded, robotics, and deployment teams while developing adapter kits, bills of materials, drawings, installation procedures, and repeatable integration processes.
Artificial Intelligence • Logistics • Robotics • Automation
Develop low-level embedded controls and communication interfaces for industrial vehicles. Responsibilities include analyzing CAN, J1939, and proprietary protocols; integrating Beckhoff PLCs and TwinCAT; implementing commands, state machines, diagnostics, and fault handling; building tests and simulators; debugging machine bring-up; and supporting customer-site commissioning. The role requires collaboration with electrical, robotics, and vehicle integration engineers.
Artificial Intelligence • Logistics • Robotics • Automation
Develop and integrate machine drivers, hardware abstractions, sensor and actuator interfaces, and vehicle-specific software for Hive’s autonomous robotics platform. Connect vehicle data, commands, diagnostics, and telemetry; configure and calibrate systems; debug hardware-software issues; and create automated, simulation, regression, and hardware-in-the-loop tests. Validate robotic systems on real machines, support field commissioning and customer acceptance, and help develop reusable integration patterns.
Artificial Intelligence • Logistics • Robotics • Automation
Own end-to-end US customer deployments from kickoff through commissioning, validation, go-live, and operational handover. Coordinate customers, engineering, operations, equipment, logistics, site readiness, safety, and technical dependencies. Lead customer communication, on-site deployment activities, testing, acceptance, risk management, and cross-functional issue resolution. Develop repeatable deployment processes and playbooks as Hive scales its US operations.
Artificial Intelligence • Logistics • Robotics • Automation
Own Hive’s live US customer operations in Texas, including operator recruitment, training, shift coverage, safety, quality, KPIs, customer communication, incident resolution, and continuous improvement. Build the initial US operating infrastructure, support early autonomous-machine deployments, establish scalable procedures, and create feedback loops with Product, Engineering, and Delivery teams. Lead operators and develop reliable, safe, and predictable operations across customer sites.
Artificial Intelligence • Logistics • Robotics • Automation
Build a machine-agnostic physical AI platform to enable autonomous operation of existing industrial equipment. Work spans vision-language models, low-latency control systems, edge and cloud inference pipelines, embedded firmware, hardware retrofits, computer vision, and infrastructure/SRE to deploy autonomy at scale across logistics, manufacturing, and chemical production.
