Senior Perception Engineer

Seattle, WA

About the role

AIM Intelligent Machines | Autonomous Earthmoving Safety First Real-World Results Rapid Deploy Our Team FAQ News Careers DEPLOY NOW Safety First Real-World Results Rapid Deploy Our Team FAQ News Careers Careers Perception and SLAM Machine learning Engineer 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.

Responsibilities 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

Qualifications 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 Why AIM? Joining AIM, You Will 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) Details Department Engineering Location Seattle Type Full Time Apply Now Name * Email * Resume * Submit Application TERMS OF SERVICE WEBSITE TERMS OF USE PRIVACY POLICY CUSTOMER TERMS SITE TERMS PRIVACY AIM INTELLIGENT MACHINES © 2025, All Rights Reserved

About AIM Intelligent Machines

AIM = AI Autonomy Platform for Heavy Machinery

Scalable earthmoving is not optional. It’s required for our civilization to flourish.

Critical materials like copper, iron ore, and lithium are in short supply and dangerous to mine. One billion people live less than 10 meters above rising oceans, 1 in 6 people live in areas with significant wildfire risk, 43% of critical infrastructure is in disrepair and will cost $2.6 trillion to fix, and pollution from the Manhattan Project is still being cleaned up with a $300 billion invoice. Food production must increase 60% to feed the 2050 population, and it will take 757 years to remove mines in Ukraine with traditional methods. What do these problems have in common? One, our civilization does not have a feasible way to address challenges of this magnitude. Two, earthmoving is a key part of the solution.

Our commercially deployed autonomy product runs a wide range of existing earthmoving machinery (new, older, large, small, any brand). As a result, our customers run their operations at maximum throughput and safety. The AIM platform unlocks tremendous value across mining, construction, and defense.

AIM has been built by world-class engineers who developed cutting-edge products at Google, Waymo, Tesla, and SpaceX. We bring deep expertise in autonomy, robotics, hardware, and advanced AI deployed at scale.

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Job details

Location

Seattle, WA

Company

NameAIM Intelligent Machines
IndustryArtificial Intelligence (AI)
Team Size3

Funding

Total raised

$50M

Last stage

Series A

Investors

Khosla Ventures
General Catalyst
Human Capital
Ironspring Ventures
DDCVC

Founders

AS

Adam Sadilek

CEO & Founder

LinkedIn
Robert Kotlaba

Robert Kotlaba

Hardware Engineer / Co-founder

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.