*Please note this is an onsite role. It will be based out of our Brooklyn Navy Yard HQ office 5x a week. **What you'll do:** - **Embed on-site with design partners and manufacturers** for meaningful stretches of the year - their floor is your second office. - **Build trust across the full vertical**, from the GM to the technician running the station. Software and hardware deployed without this trust doesn't get adopted. - **Develop genuine understanding** of how each partner's shop works and why - the history, constraints, people, and physics of what moves through it. - **Translate unstructured observation into concrete requirements**, then build, ship, and maintain the software yourself and through the other technical staff you coordinate on-site and at HQ. - **Write production code across the full stack** - data model, ETL, backend, frontend, algorithms, hardware integrations, ML pipelines, analyses, and infrastructure. Everyone wears all the hats at various points in time. - **Run the process-engineering side of deployment** - sequencing software changes with operational changes so the two evolve in lockstep, including the cultural work: training, change management, work instructions, quiet one-on-ones with skeptics. - **Own outcomes, not deliverables.** Success is measured in operational maturity and financial outcomes gained by the partner, not features shipped. **Who you are:** - 2+ years of experience software engineering in a fast and collaborative production environment - Product and design experience - Strong communication/stakeholder management skills - Knowledge and intuition for designing and implementing data intensive applications - Experience with data modeling, ETL, system and API design, frontend, algorithms, hardware integration, data science, applied math, operations research, statistics, machine learning, devops, or infrastructure - Hard-tech, robotics, and manufacturing background is a big plus **What we have:** - Medical, Dental, Vision benefits - Unlimited PTO Policy - $180-$250k + equity **Nice to Have** - Graduate education in computer science, statistics, applied mathematics, applied physics, electrical engineering, mechanical engineering, or a related field - Track record leading technical projects, especially in a customer-facing role - Previous startup experience