Research Engineer

2 days ago

Singapore National University of Singapore Full time

Join to apply for the Research Engineer (Differentiable Simulation)role at National University of Singapore Overview The project centers on advancing high-performance computation and creating differentiable simulation frameworks tailored for robotic learning. Responsibilities Develop physics-driven differentiable simulators that support robotic learning and manipulation tasks, including rigid body mechanics, soft-body interactions, and fluid dynamics. Implement GPU-based forward and differentiable simulation engines, ensuring high computational efficiency and optimized performance for large-scale robotic experiments. Formulate control policies for robotics by integrating differentiable simulators with complementary machine learning strategies, exploring scalability for deployment in complex robotic systems. Qualifications Min Bachelor's degree in Electrical/Electronic Engineering, Computer Engineering, Computer Science, or a closely related field. Strong background in computer graphics and robotics, with emphasis on physics-based simulation, differentiable simulation, and high-performance computing. Hands-on experience with automatic differentiation libraries (e.g., JAX, AutoGrad, Warp, Taichi). Skilled in GPU programming, with knowledge of CUDA thread scheduling, memory allocation, and performance tuning. Experience managing large-scale CUDA projects and utilizing CudaGraph is highly valued. Proficiency in software development using C++ and Python, with familiarity with Cloud and Edge Computing environments. Strong analytical mindset and advanced computational problem-solving abilities. Understanding of software engineering practices; contributions to open-source software are considered an advantage. Self-driven and proactive, capable of independent work while excelling in team collaboration. A curious mindset and willingness to push boundaries are essential. Open to Fixed Term Contract. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department: Electrical and Computer Engineering Employee Referral Eligible: No Job requisition ID: 30497Job Details Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Higher Education, Education Administration Programs, and Strategic Management Services #J-18808-Ljbffr

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