Backend Engineer
About Us
Nidus is building autonomous manufacturing systems powered by AI and robotics. U.S. manufacturers are under growing pressure to increase output while navigating workforce constraints, underutilized equipment, and increasingly complex supply chains. We believe the next generation of manufacturing will be enabled by more intelligent, flexible automation—systems that help people and machines work together to expand capacity and improve productivity.
We're building the intelligence layer that makes that possible.
Our team comes from the intersection of defense technology and AI. We've built and shipped products to DoD customers, and we bring deep experience across ML, robotics, product development, and defense.
We're a small, in-person team in New York City working on hard problems that matter. If you want to build the future of American manufacturing, we'd love to hear from you.
Role Overview
We are seeking a Staff ML Backend Engineer to join our team and build the foundational infrastructure that powers our machine learning pipelines for advanced robotics systems. This role will focus on creating robust, scalable backend systems that enable our ML and robotics teams to train, deploy, and monitor models in production manufacturing environments. You'll be working at the intersection of distributed systems, ML infrastructure, and robotics sensor data collection
Key Responsibilities
Owning the data collection/storage pipeline for our robotics sensor data
Making technical decisions around efficient storage and processing of that sensor data
Building software for analytics, monitoring, and visualization of the data, and making key decisions on when we should build vs buy
Function as a research engineer for our ML team - building out tooling and infra as needed to keep their iteration cycles fast
Required Qualifications
7+ years of experience in backend engineering, with demonstrated expertise in building scalable distributed systems
Strong proficiency in Python, Rust, or C++
Experience building ML infrastructure for video and sensor data
Experience with time series databases or other storage techniques for sensor data
Strong grasp of system design principles, API design, and performance optimization techniques
Preferred Qualifications
Experience with robotics systems, real-time data processing, or edge computing environments
Familiarity with ML frameworks (PyTorch, TensorFlow) and model serving platforms (TorchServe, TensorFlow Serving, NVIDIA Triton)
Background in manufacturing systems, industrial automation, or hardware-software integration
Experience with high-frequency data streaming and time-series databases
Track record of building systems that support continuous deployment in production environments
Understanding of GPU infrastructure and optimization for ML workloads
Nidus Technologies is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
We encourage candidates from all backgrounds to apply, even if you don't feel like you're a perfect fit. If you're passionate about contributing to our mission, we'd love to hear from you!
