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 WillArchitect, 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
Implement and manage infrastructure-as-code (Terraform, CloudFormation) for consistent, automated provisioning
Develop automation tools and internal services to streamline developer workflows, integration testing, and operational monitoring
Establish and enforce best practices for software reliability, observability, and system security
Drive root-cause analysis for infrastructure and deployment issues; design long-term solutions to improve system resilience
Mentor engineers and influence best practices in infrastructure design, CI/CD, and cloud operations
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)
Familiarity with Git-based workflows, code review processes, and collaborative software development practices
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
