Senior Perception Engineer

About the Position

Senior Perception Engineer

AIM is building the autonomous linchpin of civilization. We transform heavy machinery-bulldozers, loaders, excavators-into AI-powered fleets that operate continuously, safely, and at peak performance in the world’s harshest environments.

About AIM Intelligent Machines

Curious if you want to terraform earth?

Everything humanity depends on is mined, dug, or grown. At AIM, we are building the autonomous linchpin of civilization. We transform heavy machinery-bulldozers, loaders, excavators-into AI-powered fleets that operate continuously, safely, and at peak performance in the world’s harshest environments.

AIM runs production mines, large scale infrastructure builds, and defense operations as a TRL9 hardened system, not a science experiment. We have been automating this massive space with embodied AI and emerged as the market choice for ground engagement autonomy.

Built by engineers from mining, construction, Waymo, SpaceX, Google, and Tesla, AIM enables scalable earthmoving, turbocharging the global economy’s physical foundation. AIM is backed by some of the most sophisticated capital in the world, including General Catalyst, Khosla Ventures, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC. Learn more about AIM here.

Responsibilities

As a Senior Perception Machine Learning Engineer, you will design, develop, and deploy the perception systems that allow AIM’s autonomous machines to understand and interact with their environment.

• Design & Advance Perception Systems

  • Architect and develop perception algorithms for scene understanding, obstacle detection, terrain modeling, and machine awareness.
  • Advance AIM’s perception stack including sensor fusion, environment modeling, and machine-centric perception pipelines.
  • Develop algorithms that operate reliably in complex, dynamic earthmoving environments.

• Build Production Machine Learning Systems

  • Develop and deploy machine learning models for perception tasks including object detection, segmentation, depth estimation, and terrain understanding.
  • Optimize models for real-time inference on edge compute platforms.
  • Build scalable data pipelines for training, evaluation, and model iteration.

• Integrate Perception with the Autonomy Stack

  • Collaborate with robotics, controls, systems, and software teams to integrate perception outputs into planning and control systems.
  • Ensure perception systems interact correctly with localization, SLAM, mapping, and safety systems.
  • Design perception interfaces that are robust, testable, and observable.

Requirements

• Core ML Fundamentals

  • Experience designing, training, and evaluating machine learning models.
  • Strong understanding of the mathematics behind training (optimization, gradients, regularization, bias–variance tradeoff).
  • Familiarity with training dynamics (overfitting, underfitting, convergence issues, data imbalance).
  • Excellent grasp of machine perception methods in 2D and 3D (depth sensing).
  • Experience with perception sensor calibration techniques (camera, lidar, radar, etc.).

• Computer Vision Fundamentals

  • Experience working on real-world computer vision problems (classification, detection, segmentation, tracking, etc.).
  • Understanding of image representations, augmentations, and data preprocessing strategies.
  • Awareness of common architectures and when to use them (CNNs, transformers, hybrid approaches).
  • Ability to reason about evaluation metrics and tradeoffs (precision/recall, mAP, IoU, etc.).

• Overall Engineering Skillset

  • Experience shipping production models.
  • Excellent software development skills in Python.
  • Proficiency in Tensorflow, PyTorch, Python, C++.
  • Creativity and curiosity for solving complex problems.

Nice to Have

• Proven track record of deployed ML-based perception systems, ideally on autonomous vehicles.
• Experience with object detection, segmentation, depth estimation, terrain understanding, localization, and SLAM.

We Offer

• Solve a massive set of real-world problems that require scalable earth moving.
• Accomplish that via deploying and expanding cutting edge tech.
• Run your workstreams with the largest degree of autonomy.
• Have an opportunity for rapid growth and a large voice on the direction of the company.
• Receive company funded medical, dental, vision, 401k, life insurance, gourmet food & perks.
• Experience a strong onsite collaboration (AIM offices, labs, and proving grounds on the east side of the Greater Seattle area).
• Have an opportunity to travel to unique sites around the world (Americas, Australia, Africa & more).

Locations

• Seattle, USA (Onsite)
• Remote

Employment Type

Full time

Work Location Type

Hybrid