Join Our Team

Job description:

CUDA C++ Developer at Swaayatt Robots is responsible for developing and optimizing algorithms for both the CPU and the GPU, along with using API for popular libraries wherever required (CuDNN, OpenCL, OpenACC etc.). This position requires frequently interacting with R&D team working in computer vision (CV), deep learning (DL), machine learning (ML), reinforcement learning (RL) and decision making, and motion planning. Thus, having a mathematical or a theoretical computer science (CS) background becomes advantageous.

Responsibilities:

CPU/GPU based code optimization

Writing algorithmic pipelines (DL/ML/CV) pipelines in C++ using CUDA

Optimization of the existing CV/DL/ML pipelines

Deployment of DL/ML based models/pipelines in production

Requirements:

Data Structures and Algorithms.

Advance C++ Development Skills.

Experience with GPU Programming (CUDA, OpenCL etc..).

Experience with TensorRT and cuDNN.

Bonus qualification:

FPGA, ASIC

fp8/fp11/fp16 and hardware level optimization.

Theoretical CS / mathematics background

Having knowledge of pruning methods for deep neural networks

Job Description:

As an Electronics and Embedded Systems Engineer at Swaayatt Robots, you will be responsible for designing, developing, and testing software and hardware for various controllers for autonomous vehicles. This position also involves working in an established inter-process communication protocols environment,and maintaining and making necessary changes to the code-base, wherever required.

Responsibilities:

Design, develop and test software for embedded Linux platforms.

Optimize software for embedded computational hardware (or OEM preferred development boards).

Work on interfacing various sensors, electronics and electrical components for controlling autonomous vehicles.

Preferred qualification:

Strong C/C++ and Python programming experience.

Familiarity with bash scripting and experience in embedded micro-controllers.

Strong understanding of various sensors, actuators and automotive communication protocols (ex. CAN, LIN etc).

Familiarity with Digital Communication Buses like I2C, SPI, CAN, PCIe etc.

Bonus qualification:

Knowledge of Control Systems and electro-mechanical systems.

Knowledge about the Linux kernel and experience controlling hardware from the kernel.

Experience with Real-Time Operating Systems (like FreeRTOS).

Experience in Automotive Industry.

Job description:

As a senior mechanical engineer at Swaayatt Robots, you are expected to manage, conceptualize and develop innovative products, hardware, electromechanical actuation systems, vehicles, and robotic systems. Key responsibility is to ensure commercial-grade finishing of the manufactured or fabricated mechanical parts or systems, taking the dimensional or geometrical constraints into account, when designing such parts for after-market vehicles, or when integrating with the OEMs. Any system mounted externally or additionally on a commercial vehicle should be aesthetically appealing as well, and as a senior mechanical engineer, this is going be your responsibility to ensure the simulated designs are manufactured or fabricated with very high precision.

Responsibilities:

Manage and design mechanical or electromechanical systems for actuation of controls in commercial vehicles

Conceptualize and design new robotic systems or vehicles, and actuators for the same

Mechanically calibrate, or assist in calibration of, various sensors in a vehicle

Prototype and keep on improving existing actuators for brake, throttle, clutch, and steering systems

Design closed mounting systems for various sensors on a vehicle, and prototype/manufacture/fabricate the same

Dynamic load testing of the mechanical systems, including those of sensor mounts and the actuators

Requirements:

Strong knowledge of any one of the mechanical design software (Solidworks, CATIA, AutoCAD, etc.)

Knowledge of computational fluid dynamics

Familiarity with, or ability to learn, operating principles of various systems in commercial vehicles

Mathematical background to perform basic mathematical computations or calculations of various forces and torque requirements

Experience of prototyping designs using 3D printing or ability to learn the same

Experience in field work -- lathe machines, CNC, 3D printing, laser cutting

Job description:

As a product manager at Swaayatt Robots, you will be responsible for managing the development cycle of Swaayatt's autonomous navigation software frameworks, operations, and strategies. You will also be responsible for AutonomousOne -- a flagship ADAS system of Swaayatt Robots to be launched in December 2022. You are expected to create roadmaps and formulate strategies to meet the necessary deadlines set by the company for the development of its products and software or software services. One of your key responsibilities is to understand the market requirements, understand the needs of diverse userbase, collaborate with right industry partners and guide developers and engineers to timely deliver the products or services.

Responsibilities:

Conceptualize and design products for autonomous mobility or ADAS applications

Manage key algorithmic development processes for various frameworks and applications

Formulate strategies and create roadmaps for the execution of key ideas

Market analysis, connect with the industry/OEMs and customers

Ensuring adherence to the deadlines for the delivery of products and services

Bonus qualification:

MBA from one of the reputed colleges (IIMs)

Strong proficiency in one of the relevant technical areas

Experience working in robotics or AI or automotive industry

Job description:

Motion planning engineer at Swaayatt Robots will primarily be responsible for implementing existing state-of-the-art or proprietary algorithms for various applications, including for autonomous driving. Secondarily, motion planning engineer will also be responsible for developing novel motion planning algorithms and navigational algorithmic frameworks, including developing decision making algorithmic pipelines, for autonomous vehicles. Typically such an engineer is expected to have the knowledge of the motion planning literature from 1995 till date, having worked on majority of, or have practical experience working deeply in at least two/three of, the motion planning paradigms listed below:

Potential field methods

Graph based methods (A*, D*, including anytime variants)

Sampling based methods and Probabilistic Road Maps

Local high-dimensional lattice based methods

Local path-set methods

HJB formulation based methods

MPC based methods

Various other controls and heuristic based planning algorithms.

Along with that, knowledge of path tracking algorithms or controllers, and mathematical knowledge of the dynamics and kinematics of standard robotic/vehicle models is also required.

Responsibilities:

Implement existing motion planning algorithms, including reproducing results of research papers

Write motion planning software, in C/C++, for deployment in autonomous vehicles

Develop simulation environments to test motion planning and decision making algorithmic frameworks' capabilities

Develop or assist in the development of novel intelligent vehicle controllers using RL

Develop or assist in the development of novel motion planning algorithmic frameworks (typically using RL)

Requirements:

Strong mathematical foundation (linear algebra, calculus, statistics)

Proficiency in C/C++ and Python

Deep knowledge of data structures and algorithms

Ability to understand and implement existing motion planning algorithms that typically use a wide range of complex mathematical concepts

Bonus qualifications:

Having strong foundation in Machine Learning

Knowledge of convex optimization, including non-differential convex optimization

Deep knowledge in the field of reinforcement learning

CUDA proficiency

Theoretical knowledge of vehicle dynamics, and numerical integration for performing FID, and tire models

Track record of publishing papers in Tier-1 conferences in robotics or machine learning

Job description:

As a Mapping and Localization Engineer at Swaayatt Robots, you will be responsible for designing, developing and testing software for mapping and localizing autonomous vehicles in challenging and unstructured environments. The work includes building maps of various environments in a modular and efficient manner so that the autonomous vehicles can localize in such environments with very high precision.

Responsibilities:

Implement and test existing state-of-the-art algorithms and pipelines for mapping and localization

Design, develop, and test novel algorithmic pipelines for performing mapping and localization

Work with data from various sensors and come up with techniques and solutions to solve the mapping and localization problem in challenging environments

Work on calibrating various sensors for integrating and on sensor fusion

Write high quality, efficient and modular code

Requirements:

Strong C/C++ and Python programming experience

Strong knowledge of data structures and algorithms

Familiarity with Bash Scripting, Build Systems, Version Control

Strong mathematical knowledge (Probability, Calculus, Linear Algebra, and various filters, like Kalman, Particle, EKF)

Knowledge of probabilistic graphical models, and numerical optimization techniques

Strong knowledge and experience with ROS and LCM or ZCM

Strong Knowledge of, and experience working with, real-time non-linear kalman filtering and smoothing techniques

Strong knowledge of, and experience with, 3D coordinate frames, transformations, multiple view geometry, and knowledge about lie groups and lie algebra.

Strong knowledge of pose-graph optimization, and experience with pose-graph optimization libraries like G2O/Ceres/GTSAM

Bonus qualification :

Knowledge of computer vision and control systems.

Experience working and interfacing with various sensors like Cameras, LIDARs, GPS, IMU etc.

Knowledge in machine learning and deep learning.

Experience with real-time operating systems (like FreeRTOS).

Job Description:

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.

Preferred qualification :

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.

Job Description:

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. RS is 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.

RL Research Scientist is also 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 following areas: RL, Inverse-RL, ML, Heuristic Search, Topology Theory, Mathematical Optimization, Graph Theory, Manifold Alignment.

Preferred qualification :

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

Job description:

Machine learning research scientist at Swaayatt Robots is responsible for articulating, designing and developing custom ML/DL/RL algorithms for various robotic and autonomous driving applications, along with doing foundational research in developing novel algorithmic frameworks for autonomous vehicles negotiating complex traffic scenarios. ML research scientist is required to have the mathematical aptitude and the ability to work on projects involving multidisciplinary theoretical concepts and ideas.

Preferred qualification:

PhD in Computer Science or related areas, such as, PhD in ML/RL/Robotics

Advanced mathematical knowledge in a mix of following areas: convex optimization, probabilistic graphical models, reinforcement learning, stochastic processes, manifold theory and manifold alignment

Ability to quickly grasp concepts in other theoretical areas when required

C++/Python.