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Sr. Algorithm Engineer (Sensor Fusion, Geomatics)

ZeroKey -
Calgary, AB

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Job details

Permanent | Full-time
$100,000–$140,000 a year

Qualifications

TensorFlow
MATLAB
Doctoral degree
PyTorch
Engineering
Master's degree
C++
Bachelor's
Machine learning
Communication skills

Full job description

About Us

ZeroKey is building the spatial data layer for Physical AI.

AI transformed the digital economy because every keystroke was captured as data. The physical economy has no equivalent. On a factory floor, every human action, material movement, tool motion, and assembly step is invisible to software, and therefore to AI. ZeroKey closes that gap.

Our patented Quantum RTLS® (35+ patents) is the industry's most accurate large-scale 3D real-time location system. It tracks people, tools, robots, and materials across entire factories to an accuracy of 1.5 millimetres, over 100 times more precise than anything else on the market, using ultrasound instead of cameras. Getting there means squeezing microseconds out of time-of-flight measurements in environments full of noise, echoes, and moving metal. The algorithms that survive on our factory floors are the ones you will design.

That precision is the foundation of something bigger. Our spatial data feeds OmniVisor AI™, an agentic platform that puts a dedicated AI process engineer in every work cell. Between them: 3.3 billion positions processed every month, and more than 1.1 million production errors prevented every year.

Production accuracy is ultimately a safety story. Automotive and aerospace OEMs trust ZeroKey to verify safety-critical assemblies, torque by torque, step by step, down to the millimetre. The buses and planes they build carry every passenger safely to their destination. Those passengers will never know our name. That is the point.

Venture-backed, headquartered in Calgary, and winner of the 16th Innovation World Cup (2025), ZeroKey is deployed in 41 countries across 250+ customers, including roughly 1 in 10 Fortune Global 500 companies.

See it in action:

Quantum RTLS in 30 seconds: https://tinyurl.com/253avjka
Introducing OmniVisor AI: https://tinyurl.com/hen7cy6h
Fly through our Calgary HQ: https://tinyurl.com/2y9pmbbt

Overview

As a Senior Algorithm Engineer, you will work within a multidisciplinary, industry-leading R&D team to shape the next generation of ZeroKey's positioning technology, the sensing foundation that makes Physical AI possible. You will play an integral role developing new algorithms and technical advancements for new and existing products, from the state-estimation core of our positioning engine to the high-fidelity spatial data that powers our AI platform. The role calls for efficient, creative, and academically robust solutions to sensor fusion problems and real-world implementations of algorithms. You are self-motivated, possess strong technical implementation abilities, and work well with team members to efficiently achieve project milestones.

Duties

Design, develop, and improve multi-modal sensor fusion algorithms combining ultrasonic, inertial, and RF (e.g., UWB, GNSS) measurements.
Advance the accuracy, robustness, and coverage of our positioning engine in demanding, large-scale industrial environments.
Create new advanced signal processing algorithms (in both hardware and software) to estimate time of flight.
Work hands-on with the hardware, evaluating filter designs, analog signal processing chains, and ultrasonic transducers.
Collaborate with the firmware and software teams to implement real-time algorithms within the processing and memory constraints of embedded platforms.
Analyze and optimize existing algorithms to improve performance and accuracy.
Design algorithms whose outputs serve as ground truth for the AI and analytics products built on top of them.
Collaborate with software engineers, data scientists, and product managers to develop user-friendly, solution-oriented algorithms.
Conduct experiments and simulations to validate algorithm effectiveness and gather performance metrics.
Document algorithm designs, methodologies, and results for future reference and knowledge sharing.
Stay current on advancements in state estimation, sensor fusion, signal processing, and machine learning research to continuously improve our offerings.

Requirements

B.Sc. required; M.Sc. or Ph.D. highly preferred in Geomatics, Electrical, or Electronics Engineering or a related STEM discipline.
Minimum 5 years of experience developing sensor fusion algorithms using Kalman filters, particle filters, or other Bayesian estimators, ideally with GNSS/INS or other positioning systems.
Strong programming skills in Python, C++, and/or Matlab.
Experience developing, implementing, and supporting sensor fusion solutions in real-world products across all stages of the product lifecycle.
Experience building functional prototypes from research concepts.
Experience with acoustic/ultrasonic or RF-based positioning (e.g., UWB) is an asset.
Experience with phased array systems or beamforming is an asset.
Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and learning-based approaches to state estimation is a strong asset.
Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Strong communication skills to effectively convey complex concepts to technical and non-technical stakeholders.

Location & Work Model

This role is based on-site at our Calgary headquarters and manufacturing facility, where you'll have direct access to our hardware, test environments, and the engineering team. Relocation support may be available for exceptional candidates.

Job Types: Full-time, Permanent

Pay: $100,000.00-$140,000.00 per year

Benefits:

Casual dress
Company events
Dental care
Disability insurance
Extended health care
Flexible schedule
On-site parking
Paid time off
Relocation assistance
Stock options
Vision care
Work from home

Flexible language requirement:

French not required

Education:

Bachelor's Degree (required)

Experience:

Geomatics or Sensor Fusion: 5 years (required)

Location:

Calgary, AB T2E 8T3 (required)

Work Location: In person

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