Top Tech Jobs & Startup Jobs in NYC, NY

Own strategy, discovery, and delivery for a hardware product from concept through launch and support. Conduct market and customer research, define requirements, lead prototype testing, and collaborate with mechanical, electrical, firmware, design, and manufacturing teams to balance cost, performance, manufacturability, and schedule. The role focuses on robotics products, iterative physical testing, and delivering reliable industrial hardware.

Design and own automated test suites and hardware-in-the-loop infrastructure for controls and industrial integration. Exercise industrial protocols (Modbus, EtherNet/IP, EtherCAT, PROFINET), build PLC/protocol simulators and safety-system validation, and collaborate with software and applications engineers to validate integrations in real time. Deliver maintainable test code, fixtures, and reviews for protocol compliance and CI/CD pipelines.

Build and own AI team systems spanning data ingestion, labeling, training and evaluation infrastructure, model deployment, perception integration, and customer-facing applications and APIs. Drive high-impact technical projects, make hands-on architectural decisions, mentor engineers, and support a broad AI software stack. The role is approximately 70% backend and 30% frontend, with focus areas including ML Ops, data pipelines, or computer vision.

Execute manual regression, smoke, exploratory, and release-candidate testing across robot control software, teach pendants, core workflows, and physical six-axis robots. Create and maintain test cases in Qase, document reproducible defects with logs and build details, collaborate with SDETs and systems test engineers, identify coverage gaps, and perform basic hardware recovery such as re-homing and resets.

Develop and optimize advanced AI models, training pipelines, evaluation frameworks, and debugging systems for robotics applications. Lead rapid experimentation, model architecture development, fine-tuning, performance optimization, and interpretability efforts. Collaborate with engineering teams on training infrastructure and deployment. The role emphasizes ML planning for autonomous vehicles, diffusion and autoregressive models, reinforcement learning, and translating research into production systems.

Develop and optimize AI models and training systems for robotics applications, focusing on design, implementation, and performance optimization of ML models.

The Staff Software Engineer will drive technical strategy, lead complex projects, improve engineering standards, and mentor engineers across the organization, focusing primarily on back-end systems but maintaining full-stack awareness.

As a Senior Software Engineer, you will drive technical projects, advise leadership, mentor peers, and work with a focus on user impact.

Design and build AI-enabled robotics proofs of concept, then deploy and integrate them in customer sites. Responsibilities include camera placement and calibration, model deployment, I/O configuration, on-site troubleshooting, and customer training. Collaborate with sales and engineering teams, produce documentation and integration guides, and feed deployment learnings back into product development.

Lead discovery, strategy, and delivery for a core robotics software product area. Deeply engage customers and sites, define specs, iterate prototypes with designers and engineers, and deliver polished, production-ready features that integrate hardware and software.