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, Simulation, you will drive the technical strategy and execution of simulation frameworks that enable large-scale testing and validation of autonomous driving systems. You’ll lead the design of scalable, high-fidelity simulation environments that accelerate development, ensure safety, and validate real-world readiness.
You Will
Lead the development of advanced simulation and testing frameworks to validate perception, planning, and control algorithms
Architect scalable simulation pipelines and infrastructure to support continuous integration, regression testing, and large-scale scenario execution
Collaborate closely with autonomy teams to define simulation goals, performance metrics, and success criteria
Integrate and automate simulation workflows within CI/CD systems to ensure end-to-end validation coverage
Analyze simulation outputs and telemetry data to identify performance bottlenecks, failure modes, and areas for improvement
Mentor engineers and promote best practices in test design, validation, and quality assurance for autonomous systems
Contribute to technical roadmaps and ensure the simulation platform evolves to meet product and safety milestones
You Have
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field with 7+ years of experience
Strong software engineering expertise with C++ and Python, including writing high-performance and maintainable code
Deep understanding of simulation, modeling, and validation methodologies
Hands-on experience with Linux, distributed systems, and software development best practices (testing, version control, code review)
Familiarity with simulation platforms such as NVIDIA Omniverse, CARLA, Applied Intuition, or Foretellix
We Prefer
Experience designing and validating safety-critical systems in domains such as autonomous driving, aerospace, or robotics
Experience developing or maintaining autonomous vehicle software stacks (e.g., ROS/ROS2, Autoware)
Background in automated testing, continuous integration, and data-driven validation
Knowledge of sensor modeling (camera, lidar, radar) and environment generation techniques
Experience with cloud-based simulation infrastructure and large-scale distributed test execution
Proven ability to influence technical direction across multiple teams and drive initiatives from concept to deployment