About Bayes Studio
Bayes Studio develops UAV and ground-based platforms for wildfire detection and environmental monitoring. By combining embedded systems, AI, and multispectral sensors, we are building technology that helps make communities more resilient to wildfires.
About the role
In this role, you will work across both the hardware and software layers of our monitoring platforms. You will help develop Python-based applications on Linux embedded systems, integrate and test sensors and electronics, and support reliable communication between UAVs, ground units, and cloud-connected systems. You will also contribute to UAV flight controller integration, control engineering tasks, and system testing and validation.
This is a hybrid role, and applicants should be comfortable commuting to UBC Point Grey Campus as needed.
Key responsibilities
- Develop and maintain Python applications for Linux-based embedded systems, with a focus on real-time and asynchronous performance
- Interface with and calibrate electronics and sensors, including thermal, optical, and environmental modules
- Implement and support wireless communication protocols such as LoRaWAN, Wi-Fi, and LTE
- Integrate UAV flight controllers such as ArduPilot, PX4, and Speedybee, and support control algorithms for stability and navigation
- Conduct lab and field testing of embedded systems, communication modules, and UAV platforms
- Prepare technical documentation and support compliance with relevant electrical and UAV standards
- Collaborate with AI/ML engineers, mechanical engineers, and operations staff to ensure smooth system integration
What we’re looking for
Must-have
- Proficiency in Python, including asynchronous programming
- Experience with Linux-based embedded systems
- Hands-on experience with electronics, circuits, and sensor integration
- Strong debugging and problem-solving skills
Nice-to-have
- Experience with LoRaWAN or similar communication systems
- Knowledge of control systems engineering and system dynamics
- Familiarity with flight controllers such as ArduPilot, PX4, or Speedybee
- Experience with UAV systems and real-time monitoring platforms
Who you are
- A strong problem-solver who can work independently
- Comfortable in a startup environment with fast-paced development
- A collaborative communicator
- Willing to work in both lab and field settings
Why join us
- Work on cutting-edge technology with direct impact on climate resilience
- Join a multidisciplinary team at the intersection of AI, embedded systems, and UAVs
- Contribute to real-world solutions for wildfire prevention and environmental monitoring
- Be part of a flexible and innovative startup where your work creates immediate value
Eligibility requirements
Because this role is being co-funded through a government program, applicants must meet the following eligibility criteria:
- Be between
15 and 30 years of age
- Be a post-secondary graduate
- Hold
Canadian citizenship, Canadian permanent residency, or Canadian refugee status
If this sounds like you, we’d love to hear from you.
