At a Glance
- Tasks: Build and maintain data pipelines for cutting-edge autonomous systems.
- Company: AeroVect, a Series A company revolutionizing ground handling with autonomy.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Onsite role in Toronto with excellent career advancement potential.
- Why this job: Join a dynamic team transforming aviation with innovative technology.
- Qualifications: Degree in Computer Science or related field; strong Python skills required.
The predicted salary is between 123750 - 151250 $ per year.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers.
You will:
- Build and maintain data pipelines to ingest field data (rosbags, sensor logs, telemetry) from our fleet.
- Convert raw field data into curated, versioned datasets for the perception team and own dataset management - storage, indexing, querying, and vending datasets.
- Set up training workflows and optimize cloud costs.
- Build tooling to accelerate perception engineers' workflows - fast data access, reproducible experiments, automated evaluation pipelines.
- Generate metrics and diagnostics to track dataset health, model performance, and pipeline reliability.
You have:
- Bachelor's or Master's degree in Computer Science, Robotics, Data Engineering, or a related field.
- Strong Python proficiency and working knowledge of ROS2.
- Working knowledge of docker and other DevOps tools.
- Familiarity with cloud storage and compute (AWS - S3, EC2, etc.).
- Understanding of ML workflows and dataset versioning.
We Prefer:
- Master's in Computer Science, Robotics, or a related discipline.
- 2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systems.
- Experience with Weights & Biases, rosbag data, and large-scale sensor datasets.
- Working knowledge of C/C++.
- Experience supporting perception or ML research teams.
Please note this role will be based onsite in Toronto.
Software Engineer, ML Ops in Toronto employer: AeroVect Technologies Inc.
At AeroVect, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work environment. As a Staff Software Engineer in Localization, you'll have the opportunity to take ownership of critical projects that shape the future of autonomous ground operations at major airports, all while working alongside industry leaders. Our commitment to employee growth is reflected in our supportive culture, competitive benefits, and the chance to make a meaningful impact in the rapidly evolving field of aviation technology.
Contact Details:
AeroVect Technologies Inc. Recruitment Team
