Nidus Technologies

Job Summary:
Nidus Technologies is building autonomous manufacturing systems powered by AI and robotics. They are seeking a Staff ML Backend Engineer to create robust, scalable backend systems that support machine learning pipelines for advanced robotics systems.
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
Qualifications:
Required:
• 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:
• 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
Company:
Founded in , the company is headquartered in New York, NY, US, , with a team of 2-10 employees. The company is currently Early Stage.