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Nidus Technologies

Develops AI-powered robotics for defense

Head of Hardware

Hardware Systems IntegrationUpdated on Nov 11
Full-timeNew York, NY, USA

About the Job

Requirements

  • A bachelor's degree in mechanical engineering, mechatronics, robotics, electrical engineering, or a related discipline, or equivalent practical experience.
  • Typically 8 or more years of experience developing complex mechanical, electromechanical, robotic, automation, or sensing systems.
  • A track record of leading technically complex hardware programs from ambiguous requirements through architecture, detailed design, validation, production, and field deployment.
  • Experience leading design reviews, resolving cross-functional technical disagreements, and leading and growing engineering teams.
  • Demonstrated ownership of systems containing interacting mechanical, electrical, optical, software, and operational elements.
  • Deep proficiency with a modern 3D CAD platform such as SolidWorks, Onshape, Creo, or NX.
  • Strong command of mechanical engineering fundamentals, including tolerance analysis, geometric dimensioning and tolerancing (GD&T), structural design, materials, fasteners, bearings, actuators, cable management, and manufacturing processes.
  • Experience designing production-quality parts and assemblies and creating drawings, bills of materials, assembly procedures, and configuration-controlled documentation.
  • Hands-on experience integrating cameras, sensors, actuators, embedded compute, networking, and power systems.
  • Experience designing verification, qualification, lifecycle, and reliability tests for complex hardware.
  • Strong systems-engineering judgment and the ability to make clear tradeoffs among performance, schedule, reliability, cost, manufacturability, and serviceability.
  • Willingness to work hands-on with hardware and travel to customer sites as needed.

Responsibilities

  • Define the technical architecture and long-term roadmap for robotic data-collection systems and customer-deployed workcells.
  • Build and lead the hardware team as it scales, define needed roles, hire engineers, and set standards for team design, build, and delivery.
  • Translate company, product, model-training, and customer requirements into scalable hardware platforms and subsystem specifications.
  • Own system-level tradeoffs across mechanical design, sensing, controls, compute, safety, reliability, manufacturability, serviceability, cost, and deployment speed.
  • Identify high-risk technical problems, establish validation strategies, and drive programs from ambiguous requirements to reliable deployed systems.
  • Establish design principles, interfaces, qualification standards, documentation practices, and configuration-management processes across the hardware organization.
  • Lead architecture reviews, design reviews, failure investigations, and technical readiness assessments for critical hardware programs.
  • Serve as technical authority for complex decisions across mechanical, electrical, optical, software, and operational domains.
  • Architect robotic data-collection platforms that produce consistent, high-quality training data across operators, tasks, sites, and robot configurations.
  • Partner with machine-learning and data teams to determine how embodiment design, sensor placement, calibration, latency, repeatability, and hardware variation affect data quality and policy performance.
  • Define system requirements for payload, workspace, stiffness, compliance, precision, visibility, ergonomics, cycle life, safety, and operator throughput.
  • Develop modular architectures that enable new sensors, end effectors, robots, and task fixtures to be integrated without redesigning the entire platform.
  • Establish instrumentation and telemetry strategies to make hardware health, configuration, calibration, and data-quality issues observable across the fleet.
  • Lead the design and development of end effectors, including grippers, custom fingers, tool interfaces, compliant mechanisms, force-sensing elements, and quick-change systems.
  • Translate manipulation-task requirements and policy failure modes into actionable hardware improvements.
  • Develop reusable end-effector architectures balancing dexterity, robustness, sensing, manufacturability, weight, cost, and serviceability.
  • Drive analytical and empirical validation of grasping performance, structural integrity, compliance, repeatability, wear, and lifecycle durability.
  • Guide make-versus-buy decisions and evaluate commercial components, custom mechanisms, actuators, sensors, and manufacturing approaches.
  • Define reference architectures for complete robotic workcells incorporating robot arms, end effectors, cameras, compute, networking, power distribution, safety systems, fixtures, and operator interfaces.
  • Lead technical discovery for customer deployments, including site surveys, task analysis, risk identification, and requirements definition.
  • Resolve constraints involving layout, reachability, utilities, networking, lighting, environmental conditions, safety, workflow integration, and service access.
  • Partner with customers and internal deployment teams during installation, commissioning, acceptance testing, troubleshooting, and system upgrades.
  • Create deployment standards, acceptance criteria, maintenance strategies, spare-parts plans, and escalation procedures to support systems at scale.
  • Use lessons from field deployments to improve the core hardware platform and reduce installation time, service burden, and site-specific engineering.
  • Remain hands-on by designing hardware, building prototypes, reviewing test data, and troubleshooting systems in the field.
  • Raise the technical bar across the organization through design reviews, mentorship, and long-range technical planning.
  • Work closely with robotics, controls, machine-learning, data operations, manufacturing, safety, and customer deployment teams.

Desired Qualifications

  • Experience developing robotic grippers, custom fingers, tool changers, compliant mechanisms, tactile or force-sensing systems, or other manipulation hardware.
  • Experience architecting industrial robot, collaborative robot (cobot), laboratory automation, warehouse automation, or machine-vision workcells.
  • Experience developing hardware specifically for robot learning, teleoperation, demonstration collection, or large-scale robotics datasets.
  • Experience with machine safety and robotics standards such as ISO 10218, ISO/TS 15066, ANSI/RIA R15.06, or related customer-site requirements.
  • Experience with design failure mode and effects analysis (DFMEA), fault-tree analysis, tolerance analysis, accelerated lifecycle testing, environmental qualification, and formal engineering change control.
  • Experience managing technical relationships with strategic suppliers, contract manufacturers, and external system integrators.

About the Company

Nidus Technologies

Develops AI-powered robotics for defense

Nidus Technologies develops AI models for robotics with a focus on defense and aerospace applications. Its AI runs on specialized hardware to enable perception, decision-making, and control for autonomous or semi-autonomous robotic systems in demanding defense environments. The company differentiates itself through its defense focus, stealth status, and Tau Ventures backing, aligning hardware-integrated AI with U.S. national security needs. Its goal is to develop and deploy AI-powered robotic solutions that enhance defense capabilities inside the United States.

Company size
1-10
Company stage
Seed
Total funding
$30M
Headquarters
New York City, New York
Founded
2026

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