Tera AI is a stealth VC-backed startup focused on building innovative spatial AI solutions for autonomy. They are seeking a ML Systems Engineer to design and maintain complex software systems for robotics and autonomous platforms, while also optimizing models for production deployment.
Responsibilities:
- Design, build, and maintain complex software systems in robotics, autonomous vehicles, or drone platforms
- Work with flight control software such as PX4 or ArduPilot
- Design and run evaluation pipelines for robotics or autonomous systems, including simulation, hardware-in-the-loop, and real-world benchmarking
- Write preprocessing and ingestion pipelines for large-scale model training and fine-tuning
- Optimize models for production deployment including quantization, pruning, distillation, TensorRT, ONNX, or edge inference frameworks
- Develop proficiency in Python and C++ for real-time systems work
- Understand deep learning theory and practice, especially in computer vision and spatial reasoning
- Design and build scalable, high-availability server-side systems using Python, NodeJS, or Golang
- Familiarity with DevOps and infrastructure tooling on GCP or AWS
- Utilize logging and observability tools such as DataDog, Sentry, and/or CloudWatch
- Maintain deep familiarity with Git and collaborative development workflows on GitHub or GitLab
- Familiarity with spatial data, geographic information systems, or spatial databases is a plus