Description:

Perceptive Space Systems is building a decision intelligence platform to assist satellite and launch operators in navigating risks from space weather and the space environment.
The company operates at the intersection of aerospace, AI, and real-time systems, utilizing advanced modeling, sensor fusion, and autonomy to enhance operational resilience in orbit.
The role involves developing foundational technology for satellites, launch vehicles, and human missions to ensure safe and efficient operations in space.
The position focuses on creating advanced navigation and state estimation systems for next-generation space vehicles and sensing platforms.
The candidate will be part of a small, high-velocity team, addressing real-world challenges with immediate mission impact.
Ideal candidates are entrepreneurial engineers who prefer building from first principles, moving quickly, and owning core systems end-to-end while thriving in ambiguity.

Requirements:

Candidates must have strong proficiency in state estimation techniques, including Kalman filtering (EKF, UKF) and batch filtering.
Expertise in non-linear optimization and computational mathematics is required.
Proficiency in both Python and C/C++ is necessary.
Experience with GNSS, radar, lidar, and camera data, including sensor calibration and error modeling in real-world applications/projects, is essential.
Familiarity with modern software engineering practices such as version control (Git), CI/CD, cloud-based workflows, and peer review is required.
A minimum of 4 years of industry experience is needed, along with a Master’s or PhD in Aerospace Engineering, Electrical Engineering, Mechatronics, or a related field.
Excellent communication and collaboration skills are necessary to work effectively across disciplines.
Experience in a fast-paced, process-oriented, high-ownership, and demanding startup environment is preferred.
Due to contract requirements, applicants must be Canadian citizens or permanent residents.