Staff Software Engineer, Simulation

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.

• 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

• 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

• 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