Posted 7 months ago
Robotic AI Engineer
@ Spaceium
Ottawa, Ontario
Overview
Spaceium is hiring a Robotic AI Engineer in Ottawa to develop the AI that lets its spacecraft perceive, reason and act autonomously. The work covers ML models, perception pipelines, planning and reinforcement learning, deployed on resource-constrained flight hardware. The posting states a salary of $75,000 to $110,000 CAD per year, plus equity, with possible extended hours and weekend work and required on-site presence in Ottawa.
Pay:
$75,000–$110,000 a year
Responsibilities:
- Design AI/ML models for spacecraft autonomy and anomaly detection
- Build perception pipelines for pose estimation and target detection
- Develop reinforcement learning and planning algorithms for on-orbit operations
- Deploy and optimize models on flight hardware
- Create simulation environments for training and validation
Requirements summary:
- Bachelor's degree in computer science, robotics, AI/ML, mathematics or related field
- Strong Python programming skills
- Experience with PyTorch, TensorFlow or similar frameworks
- Understanding of statistics and ML mathematics
- Experience with Git
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-04-10
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-17
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Software development |
| Travel | air: none · ground: none |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Robotics, AI/ML, Mathematics |
| Perks mentioned | Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Spaceium
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Network of in-space refueling stations
Full company description
To build in-space infrastructure to support interplanetary missions.
- People associated on LinkedIn
- 4
- Reported office locations
- Long Beach, US
- Other recorded names
- Spaceium
- Spaceium Inc. (YC S24)
- Profile identifies a recruitment agency
- No
To build in-space infrastructure to support interplanetary missions.
| Field | Value |
|---|---|
| Industry | Aviation & Aerospace |
| Company size | 2-10 employees |
| Headquarters | Long Beach |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 11 |
| View page |
At Spaceium, we are building spacecraft systems designed to push the boundaries of what's possible in orbit. As a Robotic AI Engineer, you will develop the intelligence that lets our spacecraft perceive, reason, and act autonomously — from perception and manipulation to onboard decision-making. You will work at the intersection of robotics, machine learning, and space systems, building AI that operates reliably in resource-constrained, high-stakes environments.
Responsibilities
- Design and develop AI/ML models for spacecraft autonomy, perception, anomaly detection, and predictive maintenance
- Develop perception pipelines (computer vision, sensor fusion) for pose estimation, object/target detection, and scene understanding
- Build reinforcement learning, planning, and decision-making algorithms for autonomous on-orbit operations and robotic manipulation
- Build data pipelines for training, evaluation, and deployment of models
- Create simulation environments (including physics/robotics simulators) for training and validating AI and robotic behaviors
- Deploy and optimize models on edge / resource-constrained flight hardware
- Integrate AI and robotics systems with flight software and ground segment tools
- Collaborate with software, systems, GNC, and operations engineers on AI-driven features
- Research and prototype novel approaches to space-specific robotics and AI challenges
Basic Qualifications
- Bachelor's degree in Computer Science, Robotics, AI/ML, Mathematics, or a related field
- Strong programming skills in Python
- Experience with machine learning frameworks (PyTorch, TensorFlow, or similar)
- Understanding of statistics and mathematical foundations of ML
- Experience with version control systems such as Git
What We're Looking For
We're building technology that hasn't been done before. Experience is helpful, but curiosity, drive, and the ability to learn quickly matter more. If you're excited about spacecraft, enjoy solving hard engineering problems, and want to help build something new, we encourage you to apply — whether you're early in your career or more experienced.
Preferred Skills
- Creative problem solver with strong first-principles thinking, capable of assessing risk and making decisions with limited data.
- Experience in a nimble, technical engineering role, with a scrappy, entrepreneurial approach to meeting tight time or budget constraints.
- Experience with robotics frameworks (e.g., ROS), motion planning, or manipulation
- Experience deploying ML models on edge devices or resource-constrained platforms
- Familiarity with reinforcement learning, planning, or decision systems
- Knowledge of computer vision or sensor fusion techniques
- Experience with MLOps, model monitoring, and continuous training pipelines
- Understanding of spacecraft operations or autonomous systems
- Excellent verbal and written communication skills, collaborative team player, and detail-oriented with a focus on quality.
Additional Requirements
- Extended hours and weekend work may be required to support critical project and mission milestones.
- This role requires a physical presence at the Ottawa facility.
Compensation
- Salary: $75,000 – $110,000 CAD per year
- Equity: 0.1% – 0.5%
If you're excited about shaping the future of space systems, we'd love to hear from you.
Please submit any projects that you have worked on.
Journal
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