Humanoid
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Recently posted jobs
Artificial Intelligence • Robotics
Design user experiences across integrated robotic hardware and software for B2B and B2C products. Translate complex data and workflows into intuitive interfaces, establish design system guidelines, collaborate with agencies and internal teams, and partner with engineers on feasibility and technical constraints. The role requires strong UX research, visual design, analytical problem-solving, communication, and curiosity about technical systems, including robotics and AI.
Artificial Intelligence • Robotics
Own Jira and the broader Atlassian suite, including configuration, workflows, permissions, automation, integrations, governance, migrations, documentation, and user training. Provide first- and second-line IT support, administer identity, collaboration, endpoint, and MDM platforms, and support onboarding, offboarding, hardware, access, network, and security needs. Partner with business stakeholders, manage vendors, and contribute to IT projects and continuous improvement.
Artificial Intelligence • Robotics
Owns the end-to-end expediting of open purchase orders for robotics manufacturing, tracking supplier acknowledgements, delivery dates, shortages, logistics, receipts, discrepancies, and documentation. The role coordinates with suppliers, buyers, planning, production, engineering, quality, finance, warehouses, and freight forwarders across London, Boston, and Vancouver. It also maintains order and supplier performance data, escalates delivery risks, and improves expediting processes.
Artificial Intelligence • Robotics
Lead hands-on prototyping, assembly, troubleshooting, failure analysis, testing, and repair of humanoid robots. Design cable assemblies, harnesses, and test jigs; create diagnostic procedures and repair documentation; collaborate across electrical, mechanical, and software engineering teams; and improve prototype reliability, manufacturability, test efficiency, and first-pass yield.
Artificial Intelligence • Robotics
Manage daily operations of a hardware engineering lab for a humanoid robotics team. Responsibilities include organizing workspaces, tracking and procuring inventory, kitting parts, supporting equipment setup and calibration, coordinating repairs and deliveries, managing lab access and onboarding, enforcing safety and ESD protocols, and assisting engineers with demos, shipments, and sourcing components.
Artificial Intelligence • Robotics
Assemble, integrate, test, calibrate, troubleshoot, and maintain humanoid robotic prototypes and electromechanical systems. The role involves working with robotic hands, arms, actuators, sensors, wiring, and mechanical assemblies; documenting test results; supporting rapid design iterations; and collaborating with mechanical, electrical, embedded software, and controls engineers. This is an on-site, six-month contract role in Vancouver for an early-career or intermediate engineer.
Artificial Intelligence • Robotics
Build software and tooling for trusted boot, device provisioning, credential verification, key management, and hardware-based device security. Work with NVIDIA secure boot, UEFI, TPMs, ARM TrustZone, and HSMs while writing and debugging Linux software and scripts. Identify attack surfaces, investigate hardware and software issues, and collaborate with security, firmware, cloud, manufacturing, and engineering teams. Own scoped projects from design through testing.
Artificial Intelligence • Robotics
Leads Humanoid’s applied AI research and engineering function for physical robotics. Sets the technical roadmap, directs Transformer and multimodal model development, defines data and evaluation strategies, and validates models on real robots. The role combines hands-on research with team building, architecture decisions, experiment design, deployment, failure analysis, safety planning, and communication with customers, partners, and investors.
Artificial Intelligence • Robotics
Design and iterate robotic end effectors and wearable operator devices from concept through production handoff. Integrate sensors, cameras, PCBAs, and other electromechanical components; select materials and manufacturing processes; prototype rapidly; and apply DFM/DFA principles. The role includes customer collaboration, requirements development, mechanical validation, structural and durability testing, and coordination with electrical, firmware, prototyping, and manufacturing teams.
Artificial Intelligence • Robotics
Design and develop mechanical components, linkages, joints, and mechanisms for humanoid robots. Apply CAD and GD&T standards, select materials and manufacturing methods, lead prototyping, integrate components with electrical and software systems, conduct safety assessments and mechanical testing, and produce technical drawings, specifications, and BOMs.
Artificial Intelligence • Robotics
Leads the development, assembly, integration, calibration, testing, troubleshooting, and validation of humanoid robot prototypes, including hands, arms, actuators, sensors, and electromechanical systems. Provides technical leadership, directs technicians, mentors engineers, establishes prototyping and validation processes, coordinates cross-functional builds, manages risks, and supports prototype-to-production transitions. The role requires extensive hands-on robotics expertise alongside team management and technical execution leadership.
Artificial Intelligence • Robotics
Lead mechanical New Product Introduction activities from concept through pilot builds, production ramp, and sustained manufacturing. Establish NPI gates, manufacturability practices, assembly processes, quality metrics, defect-reduction programs, FMEA, root cause analysis, and CAPA. Evaluate tooling and manufacturing processes, scale production lines, and manage mechanical component suppliers and contract manufacturers. Collaborate across design, electrical engineering, quality, supply chain, and program management to deliver scalable, high-quality robotic hardware.
Artificial Intelligence • Robotics
Design and develop mechanical subsystems for humanoid robots, including joints, structural assemblies, linkages, and dynamic mechanisms. Create CAD models and production drawings, apply GD&T, select materials and manufacturing processes, lead rapid prototyping, and validate mechanical performance. Collaborate with robotics, controls, electrical, and software teams to integrate and deploy robotic hardware. Own subsystems from concept through testing and production while maintaining technical documentation and conducting design reviews, risk assessments, and safety analyses.
Artificial Intelligence • Robotics
Own the secure manufacturing pipeline for humanoid robots, including factory provisioning stations, device identity enrollment, firmware flashing, calibration, EOL testing, OTA readiness, and chain-of-custody tracking. Design secure hardware, software, and network infrastructure using PKI and AWS services. Develop production-grade Python or Bash automation, collaborate with firmware and cloud teams, threat-model contract manufacturing environments, and establish quality gates and secure processes for distributed manufacturers.
Artificial Intelligence • Robotics
Design and develop torque-dense robotic actuators, gearboxes, and precision mechanical assemblies for humanoid robots. Own components from concept through prototyping, testing, validation, and deployment. Create CAD models and production drawings, apply GD&T, select materials and manufacturing processes, and collaborate with multidisciplinary engineering teams to integrate motors, sensors, bearings, and drives. Lead design reviews, safety assessments, documentation, and mechanical testing for reliable, scalable production.
Artificial Intelligence • Robotics
Own and operate Humanoid’s cloud data platform, including infrastructure, software services, data workflows, CI/CD, monitoring, security, reliability, and recovery. Translate internal engineering needs into technical work, lead external contractors, review deliverables, and ensure implementations are tested, documented, and production-ready. The role combines hands-on platform, cloud, full-stack, and data engineering with technical delivery leadership.
Artificial Intelligence • Robotics
Leads a team of prototype engineers and technicians while remaining hands-on with electrical integration, bring-up, troubleshooting, failure analysis, and field repair for humanoid robots. Owns prototype build schedules, lab resources, test procedures, repair documentation, harnesses, cable assemblies, and test fixtures. Collaborates across electrical, mechanical, firmware, and software engineering to improve reliability, manufacturability, test efficiency, and first-pass yield.
Artificial Intelligence • Robotics
Develop and deploy learning-based locomotion and whole-body control policies for humanoid robots. Build motion primitives, simulation and training pipelines, and sim-to-real transfer methods using reinforcement learning, imitation learning, and generative models. Integrate and optimize learned policies for real-time robotic control, then evaluate and debug them on physical robots in collaboration with robotics, controls, simulation, and machine learning teams.
Artificial Intelligence • Robotics
Design and develop electrical systems for humanoid robots, including sensors, compute architecture, power distribution, PCBs, embedded firmware, and electromechanical integrations. Responsibilities include circuit analysis, failure investigation, lab debugging, Linux-based robotics testing, and cross-functional hardware integration. The role requires experience with high-speed communications, power regulation, PCB design, embedded programming, testing automation, mechanical CAD, FPGA hardware design, and Linux kernels or device drivers.
Artificial Intelligence • Robotics
Train and deploy vision-language-action policies for humanoid robots. Responsibilities include pre-training and post-training models using behavior cloning and reinforcement learning, designing data collection and curation processes, managing synthetic and teleoperation data pipelines, identifying failure cases, exploring architectures and modalities, and scaling distributed training for real-time edge inference. The role partners with data, MLOps, platform, and external teams to deliver capable, production-ready autonomy models.



