Robotics Navigation Engineer, Santa Clara

IntelliPro Group Inc.Santa Clara, CA
3d$200,000 - $240,000

About The Position

Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.

Requirements

  • Graduate degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience.
  • Passionate about working with robots and building robot products.
  • Experienced with SOTA navigation and planning algorithms.
  • Excellent analytical and problem-solving skills.
  • Outstanding research/engineering skills for rapid research prototyping, open-source code release, or product development.
  • Proficient with Python, C++, ROS/ROS2; CUDA and Rust experiences are a plus.
  • Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax.
  • Experience with real robot experiments.
  • Experienced with robot simulators such as Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc.

Nice To Haves

  • Hands-on experience with deployment-ready navigation system using RGB cameras or 3D lidars is a plus.
  • Hands-on experience with large-scale robot fleet management is a plus.
  • Hands-on experience with real robot arms/hands/legs is a plus.
  • Deep knowledge of robotics (kinematics, dynamics, control, SLAM, etc.) is a plus.
  • Experience with deploying AI models onto NVIDIA Jetson/DRIVE embedded systems is a plus.

Responsibilities

  • Design, implement, test, and deploy state-of-the-art planning, 3D navigation, perception algorithms on real robots.
  • Develop reliable and robust navigation system for complex indoor environments.
  • Improve and maintain our navigation software stack.
  • Build and ship high-quality and well documented Python and C++ packages with unit and integration tests.
  • Work with other teams to build a high-performance robotics system.
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