Software Engineer (Python / Databricks) New York, hybrid (3 days onsite) | $350M-funded Physical AI | $160,000 - $180,000
Build the bridge between the physical world and AI.
Everyone wants AI to run their supply chain. But AI is only as good as its data, and most companies still don't really know where their products are. They combine wireless sensors with a cloud data and AI platform to give enterprises continuous, real-time visibility of their products: where they are, whether they're moving, and what condition they're in.
Terabytes of data and hundreds of millions of events processed every day, and growing fast.
Household-name customers. Live deployments with some of the world's largest enterprises.
It helps keep shelves stocked, shipments on track and operations running smoothly.
This is a software engineering role first , about 70% hands-on coding, with the customer exposure that makes it far more interesting than a typical backend job.
Build for customers: turn real enterprise problems into working software, from data pipelines to APIs and applications
Work directly with customers: join calls, understand what's happening on the ground, and shape the solution
Improve the platform: dive into existing codebases and data systems, and make them faster and more scalable
Work in a focused project team alongside a forward deployed lead who owns the customer relationship, while you own the build
Write well-tested, production-grade code and help improve CI/CD and engineering practices
3+ years in software or data engineering. Strong Python , especially for data-heavy work
~ SQL and PySpark / Spark
~ Cloud experience, ideally AWS
~ Comfortable in front of a customer: you explain technical ideas clearly and care about the "why" behind a problem
~ Happy picking up code you didn't write and making it better
Bonus points (not required): Databricks, Kafka or streaming, an electrical or computer engineering background, IoT, telemetry, logistics or supply chain experience, forward-deployed or consulting experience, Docker / Kubernetes.
Live Python coding session with two future teammates (1 hr)
# One "super day": technical interview with the engineering lead plus a leadership conversation, back to back
Target: offer within two weeks.
Apply here or message me for a confidential chat and the full company details.
Build the bridge between the physical world and AI.
Everyone wants AI to run their supply chain. But AI is only as good as its data, and most companies still don't really know where their products are. They combine wireless sensors with a cloud data and AI platform to give enterprises continuous, real-time visibility of their products: where they are, whether they're moving, and what condition they're in.
Terabytes of data and hundreds of millions of events processed every day, and growing fast.
Household-name customers. Live deployments with some of the world's largest enterprises.
It helps keep shelves stocked, shipments on track and operations running smoothly.
This is a software engineering role first , about 70% hands-on coding, with the customer exposure that makes it far more interesting than a typical backend job.
Build for customers: turn real enterprise problems into working software, from data pipelines to APIs and applications
Work directly with customers: join calls, understand what's happening on the ground, and shape the solution
Improve the platform: dive into existing codebases and data systems, and make them faster and more scalable
Work in a focused project team alongside a forward deployed lead who owns the customer relationship, while you own the build
Write well-tested, production-grade code and help improve CI/CD and engineering practices
3+ years in software or data engineering. Strong Python , especially for data-heavy work
~ SQL and PySpark / Spark
~ Cloud experience, ideally AWS
~ Comfortable in front of a customer: you explain technical ideas clearly and care about the "why" behind a problem
~ Happy picking up code you didn't write and making it better
Bonus points (not required): Databricks, Kafka or streaming, an electrical or computer engineering background, IoT, telemetry, logistics or supply chain experience, forward-deployed or consulting experience, Docker / Kubernetes.
Live Python coding session with two future teammates (1 hr)
# One "super day": technical interview with the engineering lead plus a leadership conversation, back to back
Target: offer within two weeks.
Apply here or message me for a confidential chat and the full company details.
Software Programmers in new york at Unknown Company
This position is listed as full time and hybrid.