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Benefits offered by this job
Health insurance
401(k) matching
Paid time off
Parental leave
Job summary
A leading robotics company in Austin, Texas, is seeking a Senior Applied Scientist to develop innovative robotics systems using advanced AI and deep learning techniques. You will work with experts to design scalable simulation tools, optimize existing systems, and explore cutting-edge technologies. Ideal candidates will have a PhD, strong programming in Python or C++, and experience with robotics simulation environments. Join us to shape the future of automation and human-robot collaboration. Competitive salary with comprehensive benefits is offered.
Qualifications
PhD, or PhD and 4+ years of relevant experience.
Strong programming skills in modern Python and/or C++.
Experience with GPU programming (CUDA, Warp, or similar).
Expertise in numerical methods for physics-based simulation.
Responsibilities
Collaborate with experts to create scalable simulation solutions.
Implement high-performance simulation modeling and tools.
Optimize performance bottlenecks in simulation pipelines.
Build validation and testing pipelines for simulation results.
Identify and reduce sim-to-real gaps through modeling.
Skills
Programming in Python
Programming in C++
Robotics simulation environments
Numerical methods
Team collaboration
Education
PhD in Computer Science, Electrical Engineering, or Machine Learning
Tools
MuJoCo
Newton
Drake
Isaac Lab
Job description
A leading robotics company in Austin, Texas, is seeking a Senior Applied Scientist to develop innovative robotics systems using advanced AI and deep learning techniques. You will work with experts to design scalable simulation tools, optimize existing systems, and explore cutting-edge technologies. Ideal candidates will have a PhD, strong programming in Python or C++, and experience with robotics simulation environments. Join us to shape the future of automation and human-robot collaboration. Competitive salary with comprehensive benefits is offered.