Software Engineer, ML Ops

AeroVect

. Build and maintain data pipelines to ingest field data, including rosbags, sensor logs, and telemetry, from the fleet .

Posted 11/6/2026full-timeToronto • CanadaMid-LevelSenior💰 CA$123,828 - CA$154,785 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, dataset management, and optimizing cloud workflows. Proficient in Python, ROS2, and familiar with machine learning workflows and dataset versioning.

Highest-signal resume keywords

Python ProficiencyROS2 KnowledgeCloud Storage (AWS - S3, EC2)Dataset ManagementDevOps Tools (Docker)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentDataset VersioningMachine Learning WorkflowsC/C++ ProgrammingMetrics Generation

Tools & Technologies

Weights & BiasesDockerCloud Compute

Industry Keywords

RoboticsData EngineeringTelemetrySensor LogsAutonomy

Tech Stack

Tools & technologies

AWSCloudDockerEC2PythonC++

About the role

Key responsibilities & impact

Build and maintain data pipelines to ingest field data, including rosbags, sensor logs, and telemetry, from the fleet
Convert raw field data into curated, versioned datasets for the perception team
Own dataset management, including storage, indexing, querying, and vending datasets
Set up training workflows and optimize cloud costs
Build tooling to accelerate perception engineers' workflows, including fast data access, reproducible experiments, and automated evaluation pipelines
Generate metrics and diagnostics to track dataset health, model performance, and pipeline reliability
Work at AeroVect, which is transforming ground handling with autonomy for airlines and ground service providers

Requirements

What you’ll need

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
Experience with Weights & Biases, rosbag data, and large-scale sensor datasets
Working knowledge of C/C++
Experience supporting perception or ML research teams

Benefits

Comp & perks

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