--- title: 'Senior Software Engineer, Behavior Planning at AeroVect' canonical: 'https://feeny.ai/job/senior-software-engineer-behavior-planning-aerovect-toronto-nbzhjehrw9b0' type: 'job' last_seen: '2026-09-19' --- # Senior Software Engineer, Behavior Planning at AeroVect - **Company:** AeroVect - **Location:** Toronto, Canada - **Compensation:** $160k–$200k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-17 - **Last confirmed live:** 2026-09-19 - **Apply:** https://jobs.ashbyhq.com/aerovect/609c6e94-887d-4a77-b541-2e71b9df727b ## 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). We are looking for an experienced Senior Software Engineer who can design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments. In this role, you'll own the design and implementation of key modules in the behavior planner — the decision-making layer that determines what the vehicle should do in complex, dynamic airside scenarios. You'll work at the intersection of mission-level goals and motion-level execution, tackling problems in multi-agent interaction modeling, rule-based and learned decision-making, and robust handling of edge cases unique to airport ground operations. This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team. You Will - Develop and implement advanced behavior planning algorithms for autonomous vehicles - Collaborate with cross-functional teams to ensure robust integration and functionality of planning systems - Design, write, and maintain efficient and scalable code in C++ and Python - Contribute to the architecture and continuous improvement of behavior planning software - Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms - Analyze system performance and implement enhancements based on data and feedback - Maintain comprehensive documentation of code, algorithms, and system designs - Work closely with other engineering teams to ensure seamless coordination and development You Have - Proficient in modern C++ (11/14/17) and object-oriented programming - Skilled in Python for rapid prototyping and testing - Strong in debugging, profiling, and optimizing code - Deep understanding of behavior planning algorithms such as state machines, behavior trees, and probabilistic planning - Familiarity with path planning algorithms like A*, RRT, or optimization-based methods - Master’s degree in Computer Science, Robotics, or a related field - Minimum of 3 years of industry experience in autonomous driving, robotics, or a related field We Prefer - Knowledge of state machines, behavior trees, and decision-making under uncertainty - Expertise in path planning algorithms such as A*, D*, and Rapidly-exploring Random Trees (RRT) - Knowledge of machine learning techniques, especially in the context of behavior prediction and planning - Experience with ROS / ROS2 - Implementing systems that can re-plan at high frequencies to adapt to dynamic changes in the environment - Ensuring that behavior planning algorithms can execute with minimal latency for real-time navigation - Proficiency in optimization techniques and probabilistic models for making informed planning decisions under uncertainty - Master’s degree or PhD in Robotics, AI, Mathematics, or a related field with a focus on planning, optimization, or control theory is a plus ## 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 - [Senior Technical Product Manager, Fleet Ops](https://feeny.ai/job/senior-technical-product-manager-fleet-ops-aerovect-atlanta-n3mne3n0ajtp) — Atlanta, GA - [Senior Software Engineer, Behavior Planning](https://feeny.ai/job/senior-software-engineer-behavior-planning-aerovect-united-kingdom-vrt7p88dye0w) — United Kingdom - [Senior Software Engineer, Behavior Planning](https://feeny.ai/job/senior-software-engineer-behavior-planning-aerovect-south-san-francisco-qtbxky1tdg5n) — South San Francisco, CA - [Senior Systems Test Engineer](https://feeny.ai/job/senior-systems-test-engineer-aerovect-atlanta-m1ht9kh274vm) — Atlanta, GA - [Senior UX Designer](https://feeny.ai/job/senior-ux-designer-aerovect-atlanta-rwmgyj50jq6r) — Atlanta, GA - [Senior Staff Software Engineer, Perception](https://feeny.ai/job/senior-staff-software-engineer-perception-aerovect-remote-18sxvz7fk5wj) - [Senior Technical Recruiter, Robotics](https://feeny.ai/job/senior-technical-recruiter-robotics-aerovect-south-san-francisco-axzk6sf95c6q) — South San Francisco, CA - [Senior Technical Recruiter, Hardware](https://feeny.ai/job/senior-technical-recruiter-hardware-aerovect-south-san-francisco-gb9nevm422a3) — South San Francisco, CA - [Senior Technical Recruiter, Hardware](https://feeny.ai/job/senior-technical-recruiter-hardware-aerovect-toronto-ztby29zwr78c) — Toronto, Canada - [Recruiter, Field Operations](https://feeny.ai/job/recruiter-field-operations-aerovect-toronto-1js8ntgk4zya) — Toronto, Canada