Jobs in Canada

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Added 3 days ago
Marketing Events Manager
Behavox
Toronto, ON
…accelerate revenue and strengthen brand authority. Reporting to the Head of Marketing Programmes (Events), this role operates with significant autonomy and contributes directly to regional…
Added 3 days ago
Marketing Events Manager
Behavox
Montreal, QC
…accelerate revenue and strengthen brand authority. Reporting to the Head of Marketing Programmes (Events), this role operates with significant autonomy and contributes directly to regional…
Added 4 days ago
BR
Robotics Software Developer – ROS2, State Estimation, Perception
BHF Robotics
Markham, ON
- Full-time
We are seeking skilled Robotics Software Developers with experience in ROS2, State Estimation, and Perceptions to join our robotics development team. The ideal candidate will have hands-on…
Added 5 days ago
AA
Founding Computer Vision Engineer
Assembler AI
Canada
- Full-time
We're hiring a founding computer vision engineer. You'll work directly with the Head of AI on the perception models behind our products, and take ownership of the datasets and evaluation…
Added 6 days ago
G
Gestionnaire marketing produit / Product Marketing Manager
Genetec
Montreal, QC
- Full-time
…la stratégie de lancement, les priorités commerciales et la perception du…
Added 10 days ago
Communications Specialist
GWL Realty Advisors
Toronto, ON
Oversee company general email mailboxes, addressing and coordinating customer requests, questions, or grievances by collaborating with property site teams or head office team
Added 15 days ago
R
VP of Marketing Operations
Revun
Vaughan, ON
- Internship
Revun is a technology company developing a connected software platform for property operations and service-based businesses.
Added 15 days ago
B
Software Tester II
Bluberi
Moncton, NB
- Full-time
…professionals from diverse fields such as mathematics, visual arts, software engineering, game design, audio engineering, and quality assurance. With its head office in Las Vegas, the R&D…
Added 18 days ago
RS
Manager, Engineering - RMJ (AI Accelerated)
Redwood Software
Toronto, ON
- $135,000 to $160,000 CAD / year
As Software Development Manager, Redwood Automation Platform, you will lead multiple development teams and you’ll report to the Head of Engineering for Redwood’s core product platform at…
Added 22 days ago
EC
Event Audio Visual Technician - GTA - Part-time
Encore Canada
Toronto, ON
- Part-time
Understands the technical aspects of the job and demonstrates basic operational ability to troubleshoot and problem solve with equipment and software issues.
Added 1 month ago
HM
Product Technical Writer | Mining Technology - Vancouver
Hexagon Mining
Vancouver, BC · Metro Vancouver A, BC
- Full-time
The Position: Reporting to Head of Technical Publications, this position will see you join our Product development, within technical publications working closely with varied global…
Added 1 month ago
TM
Business Analyst 3
Teranet Manitoba
Winnipeg, MB
- Full-time
Develop requirements specifications according to standard templates under the Governance Framework, using natural language and requirements modeling software.
Added 1 month ago
TI
Business Analyst 3
Teranet Inc.
Winnipeg, MB
- Full-time
Develop requirements specifications according to standard templates under the Governance Framework, using natural language and requirements modeling software.
Added 1 month ago
G
Gestionnaire marketing produit / Product Marketing Manager
Genetec
Remote, Canada
- Full-time
- Remote
…la stratégie de lancement, les priorités commerciales et la perception du…
Added 1 month ago
G
Responsable marketing produit / Product Marketing Manager
Genetec
Montreal, QC
- Full-time
…la stratégie de lancement, les priorités commerciales et la perception du…
Added 1 month ago
MR
VP of Marketing Operations
MoveSmart Rentals
Toronto, ON
- Internship
CRM workflows, automation, AI tools, analytics, websites, and marketing software
Added 2 months ago
EC
Audio Visual Technician - Part-time - Whistler
Encore Canada
Whistler, BC
- Part-time
Understands the technical aspects of the job and demonstrates basic operational ability to troubleshoot and problem solve with equipment and software issues.
Added 2 months ago
Head of Toronto AI Center
Samsung Research America
Toronto, ON
Samsung Research America (SRA) develops next-generation technologies in software, user experience, and services for future products. Headquartered in Silicon Valley with locations across…
Added 3 months ago
G
Gestionnaire marketing de produit / Product Marketing Manager - Narratives
Genetec
Montreal, Quebec
- Full-time
Des opportunités d'influencer la stratégie de l'entreprise et la perception du marché
Added 2 months ago
Concrete Estimator
Turner Construction
Vancouver, BC
…candidate to work on-site at project locations, our Vancouver head office, or our Burnaby warehouse as required. The role is a full-time position, working Monday to Friday, 40 hours per…
Added 1 month ago
PO
Head of Space AI
Player One Space
Remote, Canada
- $160,000 to $200,000 USD / year
- Full-time
- Remote
…a human uplink. We are building that future, and we need a Head of AI to own it…
Added 5 months ago
TC
Senior Estimator
Turner Construction | Canada
Toronto, Ontario
- Full-time
…Estimator. The role requires availability to work on-site or at the head office, Monday to Friday, for 40 hours per week, and will report to the PreConstruction…
Added 3 months ago
G
Gestionnaire marketing de produit / Product Marketing Manager - Narratives
Genetec
Remote, Canada
- Contract
- Remote
Des opportunités d'influencer la stratégie de l'entreprise et la perception du marché
Added 5 months ago
Senior Estimator
Turner Construction
Toronto, Ontario
…Estimator. The role requires availability to work on-site or at the head office, Monday to Friday, for 40 hours per week, and will report to the PreConstruction…

No more jobs.

Player One Space

Head of Space AI

Remote, Canada

Remote

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

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Job details

Pay: $160,000 to $200,000 USD / year
Job type: Full-time
Workplace: Remote
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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