Senior Perception Engineer

Curious if you want to terraform earth?

• 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.

• 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.

• 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 observableResponsibilities

• Advance AIM’s perception stack and sensor fusion algorithms

• This involves breaking new ground as earth moving machines don’t merely navigate on existing mapped roads – they modify and build the environment as they work which poses interesting novel challenges

• Research and development of state-of-the-art machine learning methods

• Comfortable with hands-on applications on machines deployed in the field

• Apply real-world experience with localization and SLAM state-of-the-art methods

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.)Proven track record of deployed ML-based perception systems, ideally on autonomous vehicles

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

• 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)