ML Systems Engineer, Robotics & Autonomy

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