We are looking for a self-motivated, career driven, assistant personal secretary for the CEO. Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per month Schedule: Day shift Evening shift Monday to Friday Morning shift Night shift Rotational shift Weekend availability Work Location: In person
As a senior mechanical engineer at Swaayatt Robots, you will be responsible for managing, conceptualizing, and developing innovative products, hardware, electromechanical actuation systems, vehicles, and robotic systems. Your key duty will involve ensuring the commercial-grade finishing of manufactured or fabricated mechanical parts or systems, while considering dimensional or geometrical constraints. This includes designing parts for after-market vehicles or integrating them with OEMs, ensuring that any system mounted externally on a commercial vehicle is aesthetically appealing. It will be your responsibility to ensure that the simulated designs are manufactured or fabricated with high precision. Your responsibilities will include managing and designing mechanical or electromechanical systems for actuation of controls in commercial vehicles, conceptualizing and designing new robotic systems or vehicles, and actuators for the same. Additionally, you will be involved in mechanically calibrating or assisting in the calibration of various sensors in a vehicle, prototyping and continuously improving existing actuators for brake, throttle, clutch, and steering systems, designing closed mounting systems for various sensors on a vehicle, and conducting dynamic load testing of mechanical systems, including sensor mounts and actuators. To be successful in this role, you should have a strong knowledge of at least one mechanical design software such as Solidworks, CATIA, or AutoCAD. You should also possess knowledge of computational fluid dynamics, be familiar with or have the ability to learn operating principles of various systems in commercial vehicles, have a mathematical background to perform basic mathematical computations or calculations of forces and torque requirements, and have experience in prototyping designs using 3D printing or the willingness to learn the same. Experience in field work, especially with lathe machines, CNC, 3D printing, and laser cutting, will be advantageous for this position. If you meet the requirements and are interested in this opportunity, please send your resume to career@swaayatt.com.,
We are looking for a self-motivated, career driven, assistant personal secretary for the CEO. Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per month Schedule: Day shift Evening shift Monday to Friday Morning shift Night shift Rotational shift Weekend availability Work Location: In person
The RL Research Scientist (RS) at Swaayatt Robots will be responsible for conceptualizing, theorizing, and developing novel decision-making algorithmic frameworks to enable autonomous vehicles to negotiate complex, stochastic, and adversarial traffic situations. You are expected to work at the intersection of theoretical computer science (ML, RL, game theory, graph theory, heuristic search, mathematical optimization), motion planning, and pure and applied mathematics. As an RL Research Scientist, you will also be expected to optimize and scale the existing proprietary algorithmic frameworks at Swaayatt Robots, such as the Off-Shift Policy framework, Two-Lanes Overtaking Policy framework, and the Multi-Agent Intent Analysis and Negotiation framework. These algorithmic frameworks typically require working at the intersection of the following areas: RL, Inverse-RL, ML, Heuristic Search, Topology Theory, Mathematical Optimization, Graph Theory, Manifold Alignment. Requirements: - M Tech/MS/PhD in EECS or relevant areas (PhD in ML/RL/Robotics/Aero-Astro), or equivalent research experience - Proficiency in C/C++ and Python programming languages - Deep knowledge in machine learning, reinforcement learning, and probabilistic graphical models - Strong knowledge in mathematical optimization (convex, numerical, non-differential convex) - Track record of publication in Tier-1 robotics or ML conferences - Previous experience in robotics/AI R&D startup outside India is a bonus If you meet the requirements and are interested in this exciting opportunity, please send your resume to career@swaayatt.com.,
As a Motion Planning Research Scientist at Swaayatt Robots, you will play a crucial role in conceptualizing and developing innovative motion planning and decision-making algorithmic frameworks to tackle complex and stochastic traffic scenarios, with the ultimate goal of achieving level-5 autonomy. You will be involved in projects that require a deep understanding of multidisciplinary theoretical concepts, including traditional motion planning, reinforcement learning (RL), and stochastic processes, as well as topology theory and manifold theory. To excel in this role, you should possess an M Tech/MS/PhD in EECS/CS/Robotics/Aero-Astro/Mechanical Engineering or have equivalent research experience. Proficiency in programming languages such as C, C++, and Python, along with the ability to write clean and efficient code, is essential. You are expected to have a thorough knowledge of motion planning and path tracking literature dating back to 1995. Additionally, a strong background in one or more of the following areas is highly desirable: machine learning, vehicle dynamics and controls, mathematical optimization (convex/non-convex/numerical), reinforcement learning, or heuristic search. If you are passionate about pushing the boundaries of motion planning and decision-making algorithms, and if you meet the requirements mentioned above, we encourage you to send your resume to career@swaayatt.com.,
The Motion Planning Engineer at Swaayatt Robots will have the primary responsibility of implementing state-of-the-art or proprietary algorithms for various applications, specifically in the domain of autonomous driving. Additionally, the engineer will be involved in the development of novel motion planning algorithms and navigational algorithmic frameworks, which includes the creation of decision-making algorithmic pipelines for autonomous vehicles. The ideal candidate is expected to have a comprehensive understanding of motion planning literature from 1995 to the present day, with practical experience in multiple motion planning paradigms such as potential field methods, graph-based methods, sampling-based methods, local path-set methods, HJB formulation based methods, MPC based methods, and various other controls and heuristic based planning algorithms. Moreover, proficiency in path tracking algorithms, controllers, and mathematical knowledge of dynamics and kinematics of standard robotic/vehicle models are essential for this role. Key Responsibilities: - Implement existing motion planning algorithms and replicate research paper results - Develop motion planning software in C/C++ for deployment in autonomous vehicles - Create simulation environments to assess the capabilities of motion planning and decision-making algorithmic frameworks - Contribute to the development of intelligent vehicle controllers using RL - Collaborate on the development of innovative motion planning algorithmic frameworks, typically utilizing RL Requirements: - Strong mathematical foundation in linear algebra, calculus, and statistics - Proficiency in C/C++ and Python - In-depth knowledge of data structures and algorithms - Ability to comprehend and implement complex mathematical concepts in existing motion planning algorithms Bonus Qualifications: - Proficiency in Machine Learning - Familiarity with convex optimization, including non-differential convex optimization - Extensive expertise in reinforcement learning - CUDA proficiency - Theoretical understanding of vehicle dynamics, numerical integration for FID, and tire models - Track record of publishing papers in Tier-1 conferences in robotics or machine learning If you meet the above requirements and are enthusiastic about contributing to cutting-edge projects in the field of autonomous driving, we encourage you to send your resume to career@swaayatt.com.,