Research Engineer - High Performance Physics Simulations for Robotics

At Reality Labs Research (RL-R), our goal is to define and deliver the novel technologies that enable advanced robotics systems. We are looking for skilled and motivated engineers to join our research team and help us develop high-performance physics simulations that drive the next generation of robotics applications.Our research in high-performance physics simulations lies at the intersection of computer graphics, numerical methods, and real-time systems. We are seeking engineers who are passionate about developing efficient and scalable algorithms for simulating complex physical phenomena in real-time. Join our team of researchers, software engineers, and other brilliant minds as we push the boundaries of what is possible in robotics.

Research Engineer - High Performance Physics Simulations for Robotics Responsibilities:

• Design and implement high-performance physics simulations using C++ and other relevant technologies
• Develop and optimize algorithms for real-time simulation of complex physical phenomena, such as rigid body dynamics, soft body simulations, and fluid dynamics
• Collaborate with researchers and engineers to integrate physics simulations into robotics applications and prototypes
• Analyze and improve the performance of physics simulations on various hardware platforms, including CPUs, GPUs, and specialized accelerators
• Contribute to the development of new tools and techniques for physics-based simulation and rendering

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 5+ years experience in high-performance software engineering
• Expertise in C++ and other relevant programming languages
• Experience with real-time systems, parallel computing, and multi-threading
• Understanding of 3D mathematics and geometry, including linear algebra, calculus, and differential equations

• Experience with physics engines, such as PhysX, Bullet, or Havok
• Knowledge of rendering techniques, including ray tracing, rasterization, and global illumination
• Familiarity with GPU programming, including CUDA, OpenCL, or DirectX
• Experience with machine learning and AI techniques for physics-based simulation and rendering
• Understanding of numerical methods, including finite element methods, finite difference methods, and meshless methods
• Experience with robotics software frameworks, such as ROS or Gazebo
• Knowledge of robotics-specific simulation tools, such as V-REP or Webots