Perception Engineer - Talent Pool Q426/Q127

ARD was founded on a paradox. The Arctic is both the next great economic frontier and one of the most hostile environments on Earth. Rich in resources and strategically vital, yet bone-chillingly cold, dark for months, and fundamentally inhospitable to humans. This paradox—an explosion of activity in a place that resists human presence—is why we exist.

Our solution is autonomy.

We build systems that operate reliably and intelligently in the Arctic, so that humans don't always have to.

Founded by record-holding pioneers with decades of polar experience, we take calculated risks on hard problems that matter. If you want to build and deploy ground-up technology with real-world impact, at an inflection point in history that won’t reappear, we’d like to talk.

THE ROLE We're looking for a Perception Engineer to build the eyes for autonomous systems operating in the world's most sensor-hostile environment. You'll develop computer vision and sensor fusion systems that cut through Arctic whiteout, polar night darkness, and ice fog — where traditional perception stacks fail. This isn't lab work: you'll deploy ML models on edge hardware that operates at -40°C, where every watt counts and failure means mission abort.

Note: At this stage we are keen to connect with interested candidates ahead of Q426/Q127.

CORE RESPONSIBILITIES

Design and deploy perception pipelines for Arctic autonomous platforms (surface, subsurface, aerial)

Fuse multi-modal sensor data (vision, LiDAR, radar, IMU, GNSS) for situational awareness and autonomy

Build ML models for ice classification, terrain mapping, and obstacle detection in low-visibility conditions

Train, evaluate, and harden ML models against snow cover, ice glare, low sun angles, and polar night conditions

Create synthetic training data and simulation environments for Arctic-specific scenarios

Work closely with mechanical, electrical, RF, and autonomy teams to co-design sensor placement, calibration, and integration

Support field deployments in the Arctic and iterate rapidly based on real-world data

WHAT WE VALUE

5+ years industry experience in robotics, autonomy, or real-world ML perception systems

Strong foundation in computer vision, SLAM, and multi-sensor fusion

Proficiency in Python and C++ with production-grade engineering practices

Experience with perception frameworks (ROS / ROS2, OpenCV, PyTorch, TensorFlow, etc.)

Comfort working with real sensors, calibration workflows, and noisy data

A track record of shipping perception systems that work outside controlled environments

Willingness to operate in safe but extreme cold environments during R&D field testing

WHAT WE OFFER

Competitive compensation

Private Health Insurance

Dental & Optician

Equity — meaningful options as an early employee at an early-stage company

Real field exposure — travel to Arctic sites and Outposts when needed (genuinely, not as a gimmick)

Mission-driven culture — focus on impact, not hours logged

Small team, real ownership — what you build matters and ships

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