Swaayatt Robots is seeking motivated and passionate individuals eager to contribute to the cutting-edge fields of autonomous driving and AI. Our vision is to lead globally in these areas, and we aim to attract those who share our drive. Joining our team means working on groundbreaking projects that push technological boundaries and shape the future of transportation. We foster a collaborative environment where innovation and continuous learning are encouraged.
If you're excited to be at the forefront of transformative technologies and ready to take on challenges, join us on this journey. At Swaayatt Robots, you'll have the opportunity to make a real impact and help revolutionize autonomous driving and AI. Be part of our visionary team and help shape the future of these industries. Apply now for a rewarding career with us!
A Motion planning Research scientist (RS) at Swaayatt Robots will be responsible for conceptualizing and developing motion planning and decision making algorithmic frameworks for various complex and stochastic traffic scenarios, to achieve level-5 autonomy. Motion planning RS should be comfortable working on projects involving multidisciplinary theoretical concepts, foremost of which are traditional motion planning, reinforcement learning (RL) and stochastic processes, topology theory, and manifold theory.
Requirements:
- M Tech/MS/PhD in EECS/CS/Robotics/Aero-Astro/Mechanical Engineering or equivalent research experience
- Proficiency Proficiency in C, C++, Python programming languages with clean and efficient coding skills
- Deep knowledge of motion planning, and path tracking literature, since 1995
- Strong knowledge in at least one of the following areas: machine learning, vehicle dynamics and controls, mathematical optimization (convex / non-convex / numerical), reinforcement learning, heuristic search.
