--- title: 'Software Engineer, ML Ops at AeroVect' canonical: 'https://feeny.ai/job/software-engineer-ml-ops-aerovect-toronto-0qj5zwgp42nb' type: 'job' last_seen: '2026-10-17' --- # Software Engineer, ML Ops at AeroVect - **Company:** AeroVect - **Location:** Toronto, Canada - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-20 - **Last confirmed live:** 2026-10-17 - **Apply:** https://jobs.ashbyhq.com/aerovect/701fa96b-d96a-4664-901a-cf4ce951726c ## Job description ## Who We Are 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. For more information, visit [www.aerovect.com](http://www.aerovect.com). 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 ## About AeroVect ## Company Overview - **One-liner**: AeroVect provides AI-powered autonomous ground support equipment (GSE) solutions to automate airside logistics for the world's largest airlines and airports. - **Entity Type**: Private (Series A) - **Headquarters**: South San Francisco, California, USA - **Founded**: 2020 - **Founders**: Raymond Wang and Eugenio Donati ## Core Business - **Primary Industry**: Aviation logistics and autonomous vehicle technology (Airside Automation) - **Target Customers**: Large airlines, ground handling companies, and airports (Enterprise B2B) - **Mission/Purpose**: To enable unprecedented safety, reliability, and operational certainty in global aviation by deploying AI-powered autonomous ground support equipment. ## Products & Services - **[AeroVect Driver™]**: An AI-powered, self-driving system for Ground Support Equipment (GSE). It is trained on the world's largest airside driving dataset, provides 360° total awareness, and is designed to reduce human error, prevent costly incidents (e.g., collisions), and maximize asset uptime. It is currently deployed in live production operations. Type: Enterprise AI/Software + Hardware. ## Market Standing - **Valuation/Market Cap**: Not publicly available. - **Key Metric**: - **Total Funding**: $20.0M (as of Series A, Oct 2024) - **Latest Round**: $18.0M Series A (Oct 2024) led by Nava Ventures. - **Employee Growth**: 56 employees (+62.5% YoY), with a large uptick in active job postings (156). - **Notable Investors/Partners**: Nava Ventures (Lead Series A), Outsiders Fund, Flybridge Capital, Graphene Ventures, Liquid 2 Ventures, Future Back Ventures. - **Growth Signals**: - **Rapid Hiring**: 156 active job postings, a **+1318.2% YoY** increase, indicating a major scaling phase. - **Proven Deployment**: Has logged the "most miles driven in live production operations" and handled tens of thousands of aircraft crossings. - **Global Presence**: Offices in San Francisco (HQ), New York, Atlanta, Toronto, and Frankfurt, with operations across 5 countries including the UK and Greece. ## Competitive Advantages - **Domain-Specific Platform**: Unlike general autonomy companies, AeroVect builds exclusively for the aviation airside environment, giving them a deep moat in a highly regulated, niche market with high barriers to entry. - **Production-Proven Tech**: Claims the "most miles driven in live production operations" and a proven safety record with tens of thousands of real-world aircraft crossings, offering a significant reliability advantage over competitors still in testing. - **Proprietary Dataset**: Trained on the world's largest airside driving dataset, which is a difficult-to-replicate asset. - **Clear ROI for Customers**: Directly addresses labor shortages with cost predictability, reduces insurance/accident risks, and unlocks operational efficiency (cost efficiency, safety, scale). ## Strategic Focus - **Scale & Deployment**: Moving from pilot to widespread commercial deployment, as evidenced by the massive surge in hiring for deployment and engineering roles. - **Expansion**: Growing physical presence in key aviation hubs (Frankfurt, Toronto, New York). - **Talent Acquisition**: Aggressively hiring top engineering (Perception, Localization, Safety), operations, and product talent to accelerate product development and global rollout. ## Why Work Here - **High-Impact Work**: Employees see their technology directly supporting mission-critical operations at major international airports. - **Strong Growth Trajectory**: Joining a well-funded startup (Series A) that is in a massive hiring spree (+1300% YoY in job postings) offers significant career growth potential and project ownership. - **Culture**: Described by employees as a supportive family-like environment that aims high and pushes boundaries. The company emphasizes "significant project ownership from day one." - **Perks & Benefits**: - **Equity for all employees** - Flexible PTO (Flexible vacation) & Paid holidays - Medical coverage - Meals & snacks (in office) - **Global impact** - opportunity to travel to deploy technology at sites around the world. - **Work Policy**: Hybrid/Office presence likely required given the nature of the hardware/software deployment, with multiple office locations in the US, Canada, and Europe. ## Sources 1. [aerovect.com](https://www.aerovect.com/company) 2. [aerovect.com](https://www.aerovect.com/) 3. [aerovect.com](https://www.aerovect.com/careers) 4. [linkedin.com](https://www.linkedin.com/company/aerovect) 5. [cbinsights.com](https://www.cbinsights.com/company/aerovect) ## Other roles at AeroVect - [Operations Supervisor, Autonomous GSE Operators](https://feeny.ai/job/operations-supervisor-autonomous-gse-operators-aerovect-atlanta-gm5rb97nmntn) — Atlanta, GA - [Special Projects Manager, Operations](https://feeny.ai/job/special-projects-manager-operations-aerovect-atlanta-crzkm0tgzm58) — Atlanta, GA - [Operations Safety Lead](https://feeny.ai/job/operations-safety-lead-aerovect-atlanta-c4qa3ab94yt1) — Atlanta, GA - [Senior Technical Product Manager, Fleet Ops](https://feeny.ai/job/senior-technical-product-manager-fleet-ops-aerovect-atlanta-r7eeygqes72d) — Atlanta, GA - [Staff Product Manager, AGSE Service](https://feeny.ai/job/staff-product-manager-agse-service-aerovect-atlanta-qt9qggrqrhzg) — Atlanta, GA - [Staff Software Engineer, Motion Planning](https://feeny.ai/job/staff-software-engineer-motion-planning-aerovect-remote-xzg761q9v4cj) - [Staff Software Engineer, Localization](https://feeny.ai/job/staff-software-engineer-localization-aerovect-remote-z2zk0f9t8359) - [Controller](https://feeny.ai/job/controller-aerovect-toronto-r58pvgwgpq27) — Toronto, Canada - [Autonomous GSE Operator](https://feeny.ai/job/autonomous-gse-operator-aerovect-atlanta-r9vxwn71jcqy) — Atlanta, GA - [Test Driver, Autonomous Vehicles](https://feeny.ai/job/test-driver-autonomous-vehicles-aerovect-atlanta-ganhywadt7qz) — Atlanta, GA