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Tycho.AI

Resilient autonomous navigation for unmanned vehicles

Machine Learning Engineer - Computer Vision & Robotics

Computer VisionConfirmed live in the last 24 hours
Full-timeCambridge, MA, USA

About the Job

Requirements

  • A Bachelor's or advanced degree in Computer Science, Engineering, or a related field.
  • Hands-on experience applying machine learning to computer vision and/or robotics.
  • Proficiency with PyTorch or TensorFlow.
  • Strong coding skills in Python or C++, ideally both.
  • Experience deploying machine learning models and building training pipelines.
  • Familiarity with Git and collaborative software development practices.

Responsibilities

  • Design and optimize machine learning models for computer vision and robotics under tight compute and memory budgets.
  • Build robust training and fine-tuning pipelines for large-scale datasets.
  • Compress, accelerate, and deploy models using quantization and distillation for embedded accelerators such as NPU, TPU, or GPU delegates.
  • Profile and tune on-device inference pipelines for latency, throughput, and accuracy.
  • Write clean, efficient, and maintainable code in Python and/or C++.
  • Stay current on state-of-the-art machine learning techniques and efficient edge deployment research in autonomy and perception.

Desired Qualifications

  • Experience with CUDA kernel development and model optimization, including quantization, pruning, and distillation.
  • Experience with ONNX, TensorRT, or OpenVINO for deployment.
  • Experience with robotics middleware such as ROS2.
  • Experience with SLAM, 3D perception, or sensor fusion using LiDAR or IMU.
  • Experience with real-time or low-latency inference pipelines.

About the Company

Tycho.AI

Resilient autonomous navigation for unmanned vehicles

Tycho AI builds navigation and AI systems for unmanned vehicles that can operate without GPS or reliable communications. Their platform combines proprietary software with multi-modal sensor fusion, visual-inertial odometry, and machine learning, running on custom low-SWaP hardware such as FPGAs and ASICs. This enables real-time, edge-based decision-making and precise navigation even in harsh environments, without needing a remote operator. The product is modular and interoperable, so it can work across different drone and autonomous vehicle platforms. Unlike many rivals, Tycho AI targets GPS-denied and contested scenarios, with field-tested performance for high-speed, low-altitude maneuvers and obstacle avoidance, and a strong emphasis on government and military contracts. The company aims to scale its autonomous navigation technology across defense and commercial customers, accelerating product development, flight testing, and deployments with government partners.

Company size
11-50
Company stage
Early VC
Total funding
$18M
Headquarters
Cambridge, MA
Founded
2022

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