Jobs in Canada

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Added 5 months ago
X
Full Stack AI Engineer / Applied AI Engineer
Xsolla
Montreal, Quebec
- Full-time
Write clean, efficient, and scalable code in Python and TypeScript .
Added 5 months ago
B
Technical Expert, Engineering - Aircraft Loads
Bombardier
Dorval, Quebec
- Full-time
Registration required
Added 4 months ago
P
Data Engineer
PartsAvatar.ca
Montreal, Quebec
- Full-time
Location: Downtown Montreal, Quebec (Hybrid: 3 days in office, 2 days remote) · Hybrid work schedule (3 days in office, 2 days work from home)
Added 4 months ago
A
Marketing Growth Strategy & Analytics (Bangkok-based, relocation provided)
Agoda
Toronto, Ontario
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 5 months ago
AT
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
- Contract
Must have development experience in Azure Integration Services
Added 3 months ago
Data Scientist, ADE Analytics
Amazon
Vancouver, BC
- 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
Added 2 months ago
Business Intelligence Specialist (with Qlik and/or C# experience)
CAA Club Group
Thornhill, ON
Extract, transform and analyze complex data elements from a variety of database servers and systems with focus on development/deployment of automated solutions
Added 2 months ago
Sr. Staff Physical Design Engineer
Lightmatter
Toronto, ON
Must have completed blocks or top level physical design for large ASICs or mixed signal chips that taped out
Added 3 months ago
OT
Network Engineer II
Opti9 Technologies
Remote, Canada
- $100,000 to $130,000 CAD / year
- Full-time
- Remote
…boundaries on SDN, micro segmentation, logical circuit technologies, data center designs and concepts, etc. You will be working across multiple vendors for networking and security products…
Added 3 months ago
E
Software Engineer, AI Document Generation
EvenUp
Remote, Canada
- Full-time
- Remote
This is a hybrid role, with an expectation of being in our Toronto or San Francisco office three days per week
Added 3 months ago
ME
Software Developer (Junior to Intermediate)
MAD Elevator Inc
Mississauga, ON
- $72,000 to $95,000 CAD / year
- Full-time
As a Junior Software Developer, you will collaborate with our Principal Software Developer to build, maintain, and enhance code for both existing and new projects.
Added 2 months ago
Visualization Engineer - Landmark
Halliburton
Calgary, AB
…capabilities that allow users to interact with millions of data points in real time. You will help design and implement rendering systems, data processing pipelines, and visualization…
Added 2 months ago
Senior Platform Engineer - AI Platforms & Deployment - Landmark
Halliburton
Calgary, AB
This role sits at the intersection of software engineering, infrastructure engineering, AI platform operations, and DevOps. You will help define how applications move from development to…
Added 2 months ago
PL
Business Data Analyst - Retro Administration
PartnerRE Ltd.
Toronto, ON
- $65,000 to $85,000 CAD / year
As a Business Data Analyst within the Retro Administration team, you will act as a data administrator responsible for the ingestion, validation, reconciliation, and controlled maintenance…
Added 2 months ago
Quality Engineer
Scotiabank
Toronto, ON
…Global Payment Solutions – Cash Management Technology by driving engineering excellence, technical delivery, and guiding junior QEs through complex initiatives. This role ensures that…
Added 2 months ago
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Senior Airborne Platform Automation Test Engineer III
Gogo
Ottawa, ON
- Full-time
As a key member of the Gogo Business Aviation engineering team, the Automation Test Engineer will be responsible for quality assurance and testing of software associated with embedded Linux…
Added 2 months ago
PO
Head of Space AI
Player One Space
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
Strong software and systems engineering background: Python, C/C++, Linux, GPU computing, containerised deployment
Added 4 months ago
C
MAAS Systems Engineer - Python (Toronto area)
Canonical
Toronto, Ontario
- Full-time
We are hiring a MAAS Systems Engineer to focus on building tooling to increase data center operational efficiency. As a MAAS Systems Engineer in Canonical, you will be responsible for the…
Added 6 months ago
HC
Co-op Engineer-Mobile AI
Huawei Canada
Markham, Ontario
- Full-time
In pursuit of BS in Computer Science, Computer Engineering or Software Engineering
Added 5 months ago
BA
Machine Learning Engineer - Enterprise
Boson AI
Toronto, Ontario
- $150,000 to $400,000 CAD / year
- Full-time
…perform complex tasks autonomously, interacting with diverse data sources and tools, as we collectively move towards building truly cohesive and powerful AI capabilities for our…
Added 5 months ago
WI
AWIPS Application Developer
WSP in Canada
Ottawa, Ontario
- Full-time
This is a deeply technical, hands‑on development role focused on Python and Java, production‑grade cloud environments, and complex data systems. You’ll also play a key role in reducing…
Added 5 months ago
A
NPI-LCE Test Engineer, Sr.
Adtran
Ottawa, Ontario
- Full-time
Must have experience with Python scripting, coding in VC++ or C#
Added 5 months ago
T
Software Engineering Intern (Backend)
Terminal
Remote, Canada
- Internship
- Remote
We're looking for a software engineering intern who's excited to tackle complex backend challenges. This is an opportunity to work on real production systems, contributing to the…
Added 5 months ago
OI
Network Engineer
Orion Innovation
Mississauga, Ontario
- Full-time
…development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many…
Added 5 months ago
E
Staff Software Engineer
ecobee
Toronto, Ontario
- Full-time
You'll join the Energy Software Engineering leadership team alongside five Engineering Managers, reporting directly to the Sr Director of Engineering. The team collectively owns the…

Player One Space

Head of Space AI

Remote, Canada

Remote

$160,000 to $200,000 CAD / year · Full-time

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Job details

Pay: $160,000 to $200,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Sep 11, 2026

Original job description

We are building autonomous spacecraft. This is the role that makes them think. Ground control is a bottleneck. Latency, bandwidth, and mission complexity mean the future of spacecraft operations is onboard intelligence - systems that sense, reason, and act without waiting for a human uplink. We are building that future, and we need a Head of AI to own it end-to-end. This is not a strategy role. You will set technical direction and get into the details - from sensor optics and compute hardware to perception models, inference runtimes, and the MLOps infrastructure that keeps everything improving. You will be the person who can look at a failure and know whether it's the model, the camera, the preprocessing pipeline, or the timing stack. What you'll own Autonomy stack architecture You define how the full perception-to-action pipeline is structured: sensing → data acquisition → preprocessing → perception → state estimation → decision-making → control interfaces. You choose the algorithms, make the system-level trade-offs, and ensure the architecture survives contact with real spacecraft hardware. Perception and computer vision Object detection, segmentation, tracking, recognition, visual odometry, anomaly detection - you understand both classical CV and modern deep learning well enough to know which tool is right for which constraint. You can evaluate a model's failure modes, not just its benchmark numbers. Edge and onboard AI Spacecraft are resource-constrained environments. You will lead model compression, hardware-aware inference, ONNX/TensorRT deployment, GPU and accelerator integration, and real-time processing on embedded hardware. You know how to make a good model run fast on limited power and memory - and when to redesign the algorithm instead of squeezing the model. AI infrastructure and MLOps You build the systems that let the team iterate without losing reproducibility: dataset and annotation pipelines, automated training and evaluation, experiment tracking, model registries, CI/CD for AI, deployment pipelines, data and model versioning, monitoring, and active learning loops. Research to production You track emerging methods in CV, deep learning, RL, and autonomy. You design experiments to validate them under real spacecraft constraints - and you turn the ones that work into production-quality onboard software. Team and technical leadership You set technical direction, mentor AI/ML and computer vision engineers, establish development and review practices, and build expertise within the team rather than concentrating it in yourself. You own difficult failures, drive root-cause analysis, and influence decisions across engineering teams. A day in the life You might start the morning reviewing a perception failure on a hardware-in-the-loop test run - tracing it through sensor data, preprocessing logs, and model outputs to find the root cause. By afternoon you're in an architecture review for the next autonomy milestone, debating state estimation approaches with the GNC team. Later you're in a 1:1 with an ML engineer working through a model compression problem, and you end the day reviewing a pull request on the inference runtime. Slack is the primary async channel; the team runs two-week sprints with weekly technical syncs. Must-haves • Deep hands-on experience in at least one area of machine perception - computer vision, object detection/segmentation, tracking, representation learning, or sensor fusion • Strong software and systems engineering background: Python, C/C++, Linux, GPU computing, containerised deployment • Practical understanding of the physical layer of AI systems: cameras, optics, sensors, signal acquisition, compute architectures, embedded hardware • Experience taking ML systems from research prototype to production: model optimisation, inference runtimes, edge deployment, monitoring, reproducible training, real-world debugging • Demonstrated technical leadership: architecture decisions, mentoring, code and design reviews, communicating trade-offs, building team capability Strongly preferred • Reinforcement learning and learning-based control • Robotics, simulation, and hardware-in-the-loop / software-in-the-loop testing • Visual odometry / SLAM and state estimation • Planning and control; robotics middleware • Real-time systems and flight software • Satellite or spacecraft systems; orbital mechanics and spacecraft dynamics • Cloud platforms (AWS, GCP or equivalent) for ground-side AI pipelines and fleet-scale data processing The engineering mindset we value We practice first-principles engineering. Before adding a new model or more post-processing, we ask: • Is this actually a model problem - or a sensor problem? • Are we losing information in preprocessing? • Is the bottleneck compute, memory, bandwidth, or latency? • Can the algorithm be redesigned instead of patched? • Do we have the right data to answer the question? • What happens when the system leaves the laboratory? If that framing resonates with how you work, we want to talk. Backgrounds we consider We are open to candidates from computer vision, robotics, autonomous vehicles, aerospace autonomy, embedded AI, industrial perception, defense and space systems, and research engineering. What matters most is the combination of deep technical expertise, broad systems understanding, and the ability to lead a technical team. What success looks like in year one • A coherent, documented technical architecture for the full autonomy stack • A strong AI engineering team with clear development culture and practices • Reproducible data and model pipelines in production • Demonstrated AI capabilities on representative spacecraft hardware or high-fidelity simulation • A clear, credible path from research prototypes to deployable onboard software • The most important perception and autonomy risks identified and systematically being reduced

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More about this job

Responsibilities

Lead the end-to-end development of the onboard autonomy stack for spacecraft, from perception and sensing to decision-making and control. Manage the AI infrastructure, MLOps pipelines, and mentor a team of engineers to move research prototypes into production-quality flight software.

Requirements

Requires deep hands-on experience in machine perception, strong systems engineering skills in C++/Python, and a proven track record of deploying ML models on resource-constrained edge hardware. Candidates must demonstrate technical leadership and a first-principles engineering approach to solving complex autonomy problems.

Skills

Computer Vision
Machine Perception
MLOps
Edge AI
Python
C++
Linux
GPU Computing
Model Compression
Sensor Fusion
Technical Leadership
System Architecture
Embedded Hardware
Reinforcement Learning
SLAM
State Estimation

Visa sponsorship

Not detected in the job text

Keywords

Space AI
Autonomous Spacecraft
Computer Vision
Object Detection
Segmentation
Visual Odometry
Anomaly Detection
Deep Learning
ONNX
TensorRT
MLOps
CI/CD
Reinforcement Learning
SLAM
Robotics Middleware
Flight Software
Orbital Mechanics
AWS
GCP
Hardware-in-the-loop
Software-in-the-loop
Embedded AI
Sensor Fusion
State Estimation
GPU Computing
Linux
Python
C++
Model Compression
Inference Runtimes

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Jobs in Canada