Role OverviewWe 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
We encourage candidates from all backgrounds to apply, even if you're not a perfect fit. If you're passionate about contributing to our mission, we'd love to hear from you!
