Top Tech Jobs & Startup Jobs

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.

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.

Generalist Business Operations Lead partnering with founders to solve ambiguous, high-priority business problems. The initial focus is building and improving recruiting, transitioning it from founder-led work into a scalable function. The role will also support data operations, including systems and workflows for collecting, organizing, and managing training data. Responsibilities may evolve as the company grows and could include leading established functions or tackling new operational challenges.

Recruit exceptional technical talent for an AI and robotics manufacturing company. Partner with founders and hiring managers to define roles, map talent markets, source passive candidates, assess talent, design interview processes, manage candidate strategy, and close critical hires. Build recruiting systems and standards while providing market insight and challenging hiring assumptions. Focus areas include engineering, research, technical leadership, AI/ML, robotics, infrastructure, systems, hardware, and defense technology.