Nidus Technologies
Jobs at Nidus Technologies
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Recently posted jobs
Artificial Intelligence • Robotics • Defense • Manufacturing
Support the CEO and founders by managing calendars, travel, expenses, meetings, customer and candidate coordination, recruiting events, office operations, visitors, and deliveries. The role requires anticipating needs, resolving scheduling conflicts, closing follow-ups, handling sensitive information discreetly, and representing the company professionally with customers, candidates, partners, and guests. This is an in-person position with a fast-moving New York City team.
Artificial Intelligence • Robotics • Defense • Manufacturing
Develop and deploy autonomous robotic systems for manufacturing by integrating hardware with software, control algorithms, computer vision, and machine learning. Own the sim-to-real pipeline, implement inverse kinematics and safety algorithms, and prototype systems in real-world environments. The role requires shipping robotic products from concept through deployment and collaborating across robotics, AI, and manufacturing challenges.
Artificial Intelligence • Robotics • Defense • Manufacturing
Leads architecture and delivery of robotic data-collection platforms, end effectors, sensing systems, and customer workcells from requirements through field deployment. Responsibilities include hardware design, prototyping, validation, reliability testing, manufacturing documentation, system integration, deployment, troubleshooting, technical reviews, standards development, and mentoring. The role collaborates with robotics, controls, machine learning, manufacturing, safety, operations, suppliers, and customers while establishing scalable hardware platforms and deployment processes.
Artificial Intelligence • Robotics • Defense • Manufacturing
Develop and scale vision-language-action models for robotic manipulation, owning dataset construction, training recipes, distributed GPU infrastructure, evaluation, and on-robot validation. Build reproducible ML pipelines, optimize multimodal data processing and model training, diagnose failures across data and robot behavior, and translate research into production-quality systems. Collaborate across research, robotics, hardware, data, and operations teams while mentoring engineers.



