Top Tech Jobs & Startup Jobs in NYC, NY

As a Senior Mechatronics Engineer, you'll design and deploy tooling and components for robots, optimizing performance and ensuring quality while collaborating closely with the engineering team.

As a Senior Machine Learning Engineer, you will own ML infrastructure and data systems, scaling them for large volumes of video data and supporting deep learning training and experimentation.

Own firmware where software meets hardware for warehouse robots: debug and fix HW/SW interface failures, tune Linux/kernel for predictable performance, implement safety systems, write device control interfaces, and define metrics for predictive hardware health.

Lead development and scalability of Ultra's electronics stack: ensure environmental robustness, debug intermittent communications, design and select components, work with contract manufacturers for volume production, reduce BOM costs, run rapid prototype-validate cycles, and make build-vs-buy decisions to support thousands of deployed robots.

Design, prototype, test, and release electromechanical components and assemblies for industrial robots. Create CAD models, drawings, BOMs, wiring harnesses, test fixtures, and documentation. Troubleshoot hardware failures, support builds in the lab, and collaborate with manufacturing to improve buildability and reliability.

Lead sourcing, supplier relationships, purchasing, inventory planning, inbound logistics, and supplier quality for scaling robot production. Build tooling and automation, manage POs and RFQs, negotiate terms, and travel internationally to qualify and audit suppliers.

Conduct research to improve robot foundation models for fast, reliable task learning and execution. Post-train and benchmark models, perform failure analysis, and integrate models into production robotics stacks for deployment at customer sites.

Lead and run robotics data programs: translate ML priorities into collection/annotation/validation plans, own roadmaps and delivery, improve processes, and build tools to ensure high-quality datasets for model training and evaluation.