Simulation Engineer

Bluespace is looking for our very first simulation engineer. As a Simulation Engineer, you will play a key role in developing and maintaining advanced simulation environments to validate and verify the performance of our autonomous driving systems. You will work closely with cross-functional teams to ensure our simulation tools' robustness, scalability, and accuracy.

We will consider remote candidates based in North America

Duties and Responsibilities

• Design, develop, and maintain autonomous driving simulation platforms, including physics-based simulations and sensor simulations.
• Implement realistic vehicle, sensor, and environmental models within the simulation framework.
• Design and execute simulation experiments to validate and verify the performance of perception, planning, and control algorithms.
• Collaborate with software engineers, robotics engineers, and data scientists to integrate simulation tools into the development pipeline.
• Work closely with the autonomous driving algorithm team to understand their testing requirements and design simulation scenarios accordingly.
• Analyze simulation results and provide actionable insights to improve the performance and reliability of autonomous driving systems.
• Stay up to date with the latest advancements in simulation technology and incorporate them into our development processes.
• Implement realistic virtual environments, including roads, traffic, weather conditions, and sensor models, to replicate real-world driving scenarios.
• Integrate autonomous driving software into the simulation platform and ensure seamless interaction between the two systems.
• Perform validation and verification of autonomous driving algorithms by conducting simulated tests and analyzing results.

Qualification and Experience

• BS (M.S or Ph.D. preferred) degree in a relevant engineering program.
• Excellent programming skills (C/C++/Python, etc.)
• Strong understanding of physics, mathematics, and software development principles
• Understanding of self-driving stack and cloud technologies
• Project experience aligned to simulation, autonomous vehicles, or robotics.
• Knowledge of autonomous driving technologies, including perception, localization, path planning, and control systems
• Ability to work independently and manage multiple projects simultaneously.
• Experience with the Unreal engine.
• Proficient in working with cloud technologies (AWS, GCP, Azure, etc.)
• Skilled in working with middleware development and integration (e.g., ROS/ROS2)
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• You’re experienced with all stages of a project’s lifecycle. You can quickly take a project from zero to one or scale an existing one up to be relied upon in critical pipelines and workflows.
• You have start-up DNA: You have demonstrated an ability to thrive in the ambiguity of a dynamic, start-up environment or have the DNA to do so.
• You are passionate about bettering everyday life through robotics.
• Authorized to work in the United States.

$150,000 - $200,000 a year