Optical satellite constellation for space-to-space data relay
Kepler Communications designs and builds satellites in-house to relay data between spacecraft in orbit and to the ground. Its stack is hardware-deep: Verilog, SystemVerilog, VHDL, FPGA, JESD204B and Aurora sit alongside Yocto, PetaLinux and FreeRTOS, and PCIe 5.0 adoption points to higher-bandwidth payload electronics. Hiring is accelerating, senior-weighted and almost entirely engineering, with Chief Engineer and Product Director searches open.
Notable leadership hires: Chief Engineer, Product Director
Kepler Communications is a privately held satellite communications company founded in 2015 and headquartered in Toronto, Ontario. It operates a vertically integrated model with its own production facility and develops a hybrid optical constellation that serves missions in low Earth orbit and beyond. The constellation is designed to act as data exchange points between spacecraft. The company has 51–200 employees and recruits in Canada, the United States and Germany.
Kepler uses FPGA tooling (Verilog, SystemVerilog, VHDL, PetaLinux), embedded systems (Yocto, FreeRTOS, Embedded Linux), C++, Python, MATLAB, AWS, Docker, Ansible and GitLab CI/CD, and is adopting PCIe 5.0.
Yes. Hiring is accelerating and centers on engineering, mostly at senior level. Smaller openings cover ops, product and security, plus Chief Engineer and Product Director roles.
Job posts point to flight and on-board satellite software, ground station FPGA development, secure communications for next-generation data links, satellite commissioning and ISR product offerings.
Other companies in the same industry, closest in size
Kepler Communications Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.