Member of Technical Staff

AIC•New York, NY

1d•Onsite

About The Position

Physical AI will decide the balance of power for the next century. It runs on components built by Original Component Manufacturers at the base of America's most critical supply chains. The bottleneck isn’t workforce, it’s workflow, which AIC solves by deploying our software operating system to unlock trapped capacity in the companies we acquire by empowering the talented operators who have built those enterprises. AIC is a software-led industrial holding company. We built our operating system on a proprietary framework called Decision Physics™. Our team deploys on-site to modernize the decision-making infrastructure that changes what a factory can do. We don’t sell SaaS. Our mission is to secure America's position as the global leader in physical AI. We call ourselves Software Industrialists. We run toward complexity, not away from it. If that's how you see the world, AIC is where you belong. Please note this is an onsite role. It will be based out of our Brooklyn Navy Yard HQ office 5x a week.

Requirements

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

Nice To Haves

Hard-tech, robotics, and manufacturing background is a big plus
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

Responsibilities

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.