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.

As a Staff Software Engineer, Infrastructure, you will own the core systems that power AeroVect’s autonomous driving platform. You’ll design and scale infrastructure that supports development, testing, and deployment across the full autonomy stack — ensuring reliability, performance, and seamless integration between software and real-world robotic systems.

This is a highly impactful, cross-functional role at the intersection of robotics software, DevOps, and cloud infrastructure. You’ll help define technical strategy, architect scalable systems, and mentor engineers while advancing the robustness of AeroVect’s production autonomy platform.

You Will

• Architect, develop, and maintain core infrastructure supporting AeroVect’s autonomous driving software stack
• Build robust CI/CD pipelines to enable rapid, reliable software delivery and validation across simulation and real-world testing environments
• Collaborate closely with autonomy and systems engineers to define scalable software interfaces and deployment strategies
• Design and maintain cloud-based infrastructure (AWS) for scalable computation, data processing, and system telemetry

You Have

• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field
• 7+ years of experience building infrastructure and tooling for large-scale robotics or distributed systems
• Strong proficiency in Python, C++, and Bash, with a focus on building automation and tooling
• Hands-on experience with ROS/ROS2 and robotic software deployment pipelines
• Expertise with CI/CD platforms (Jenkins, GitHub Actions, CircleCI)
• Experience managing cloud infrastructure (AWS) and automating deployments with Terraform or CloudFormation
• Proficiency with containerization and orchestration (Docker, Kubernetes)

We Prefer

• Experience supporting safety-critical, real-time, or high-availability systems
• Knowledge of monitoring, logging, and alerting tools such as Prometheus, Grafana, or the ELK Stack
• Familiarity with networking, security, and distributed system performance optimization
• Background in robotics DevOps, including simulation orchestration and data pipeline automation