As a Mechanical CAD Designer, you will be working with multiple departments to create detailed manufacturing drawings, develop concepts and design jigs and fixtures. Experience Requirements: A Diploma/B.Tech/PG Diploma in Mechanical/Machine Design/Tool design. 2 to 3 years experience in 3D modelling and 2D drafting. Responsibilities: Work with Mechanical team to create detailed 2D drawings. Develop jigs and fixtures for manufacturing and testing requirements. Develop 3D concept layouts in-line with application/marketing team requirements. Technical Requirements: Experience working with any 3D modelling CAD software. Good understanding of GD&T principles Basic understanding of Tolerance stack-up analysis

We are seeking a dedicated Applications Engineer (AE) to join our robotics team. The candidate shall play a key role in translating the leading-edge technology of Percpetyne into customer deployments for their automation needs. The ideal candidate will integrate, implement, debug and support applications tailored to meet specific project requirements using Perceptyne s robots. This role requires a blend of technical expertise, hands-on problem-solving, and close collaboration with clients to ensure the successful deployment and operation of our products. You will play a key role in understanding customer needs, deploying our robots, and providing ongoing support to optimize system performance An ideal candidate would be: A go-getter Strongly execution focused, while not losing sight of the strategic goals Be able to get a grasp of multiple technologies involved in the system quickly Be able to switch between and focus on multiple assignments Highly self-driven with a strong sense of ownership Able to efficiently navigate his/her way in a new and unknown environment Having strong people skills to get things done Role Responsibilities Deployment & Integration: Work directly with customers as well as internal teams to install, configure, and integrate Perceptynes robotic systems into client s environment and ensure smooth operation. Technical Support & Troubleshooting: Diagnose and resolve technical issues, both remotely and on-site, minimizing downtime and optimizing performance. Customer Collaboration: Partner with clients to understand their operational needs and provide guidance on best practices for system utilization. Validation & Testing: Conduct system validation campaigns, software updates, and performance evaluations to ensure optimal functionality. Product Improvement: Provide feedback to internal engineering teams based on real-world deployments, contributing to product enhancements. Documentation & Training: Develop technical documentation, troubleshooting guides, and user manuals while conducting customer training sessions. Cross-Functional Coordination: Work closely with the engineering, product management, and customer success teams to ensure smooth execution of customer projects. Skills and Requirements Bachelors or Masters degree in Robotics, Electrical Engineering (including Electronics, Communications or Instrumentation), Mechanical Engineering, Computer Science , or a related field. Strong understanding of robotics systems, kinematics, dynamics, and motion planning . Experience in integrating and deploying robotic or embedded systems in real-world environments at client locations. Hands-on proficiency with Python, C/C++, and ROS (Robot Operating System) . Excellent problem-solving skills with the ability to work independently in a fast-paced, customer-facing role. Strong communication and interpersonal skills to interact effectively with clients and internal teams. Willingness to travel up to 30-50% domestically and internationally. A proactive attitude with a strong sense of ownership and accountability Influencing and aligning cross functional teams towards specific goals Preferred Qualifications Familiarity with AI-driven perception systems and robotic manipulation . Prior experience in field service, customer support, or system integration within the robotics industry.

As a Robotics Research Engineer, you will be involved in building the software stack for Perceptyne s Humanoid / Semi-Humanoid . Your work will span research, design and development of algorithms for motion planning and control. You shall develop scalable software architectures for deploying Humanoid/Semi-humanoid robots in the real world with focus on reliability and speed. You will be joining a fast-paced startup where your contributions will directly shape the product and the future of robotic manipulation expect challenges, learning, and growth. Key Responsibilities Design and develop motion planning and control algorithms for dual arm dexterous robots. Develop and maintain scalable software that can be deployed in real world. Optimize software for real-time performance. Test and verify algorithms and software on physical robots and simulations. Engage in wide range of tasks across the robotics-system ranging from conducting research, testing & benchmarking algorithms, developing software, hardware system setup and software deployment. Stay up-to-date with the recent advancements in the fields of Robotics and be able to translate them to software for testing and prototyping. Requirements Bachelors / Master s degree in Computer science/ Electrical / Electronics / Communications / Instrumentation Engineering. 1+ years of experience in developing software for robots. Excellent C++ and Python programming skills. Real world experience writing multi-threaded applications is a plus. Hands-on experience with ROS/ROS 2 and frameworks such as Moveit, Nav2 etc. Hands-on experience with planning frameworks like OMPL. Hands-on experience with sensors like Depth Cameras, 2D Lidar etc. Strong fundamentals in Robotic Manipulation (Kinematics, Jacobians, Dynamics, Trajectory Generation etc.) and Strong foundational understanding of mathematical concepts including matrix operations, transforms, coordinate frames etc. Qualities we value Passion for Robotics and AI, with a deep curiosity for solving real-world problems. Strong bias for action you don t wait for perfect conditions to execute. A proactive, go-getter attitude with a willingness to take initiative and drive projects forward. Excellent communication skills with the ability to collaborate effectively across cross-functional teams. Ownership mindset comfortable thriving in a fast-paced startup environment, tackling complex challenges, and delivering impactful outcomes.

Develop and maintain physics-based simulation environments for robotics applications using tools like Gazebo, CoppeliaSim or NVIDIA Isaac Sim. Integrate robotic models, sensors, and actuators into simulation frameworks. Implement and optimize control algorithms, motion planning, and perception modules in simulation. Develop testing frameworks for validating robotic behaviours and performance in simulation. Collaborate with hardware and software teams to ensure simulation fidelity and real-world applicability. Work with ROS/ROS2 and other middleware to bridge simulation with real-world deployments. Optimize simulations for performance and real-time execution where necessary. Skills & Requirements: Education/Experience Requirements: B.Tech /M.Tech/Dual Degree in Computer Science, Electrical, Electronics, Mechanical, Engineering Design, IDDD Robotics and other related fields Less than 2yrs experience with work/college projects related to Robotics Simulation, Technical skill Requirements Python Familiarity with C, C++ Work/project experience in Robotics simulation environments like MuJoCo, Gazebo, Issac Sim, Coppelia Sim etc. Familiarity with ROS/ROS2 Good understanding of state-of-the-art robotics research Good theoretical understanding of robotic manipulators is desirable. (Forward kinematics, inverse kinematics, path planning, control schema, etc.) Soft skill Requirements Passionate about Robotics & AI. Be resourceful and creative about getting things done with a sense of urgency.

About Perceptyne: Perceptyne Robots is a deep-tech robotics company building highly dexterous, low-cost, and contextually intelligent robots to automate tasks that largely remain elusive to robots, even today! These robots can be used in areas like electronics product assembly, e-commerce packaging, food preparation, etc. We are building technology that will push the boundary of robotics as we know it today! ( www.perceptyne.com ) How is it like to work at Perceptyne At our core, we like to build things, we evangelize great ideas, and we are grounded. At Perceptyne, we greatly value these dichotomies: Having experience while not losing a first principles approach. Having a large vision while not losing attention to detail Working on disruptive tech while hitting the market ASAP Work Description: Computer vision forms a central part of controlling robots that we build at Perceptyne. As computer vision engineer at Perceptyne, you will be responsible for building the vision processing pipeline for our robots including: high frame-rate acquisition, sensor fusion, image enhancement, segmentation, estimation, tracking and AI/ML modules that go into our robot. We are looking at experienced (3 - 8 years) computer vision candidates for joining our team. Requirements Bachelors / Masters / PhD in Computer Science / Electronics / Mechanical Engineering or equivalent. Greater than 4 years of industry experience working in computer vision.

About Perceptyne: While robotic automation has come a long way from the time everything was manual, even today, robots struggle when it comes to automating tasks that need dexterity: like product assembly, packing and kitchen preparations. Founded by IIT BITS alumni, Perceptyne is a deep-tech robotics company building highly dexterous robots that can automate these tasks in a scalable manner. At Perceptyne, we are building disruptive technology that will push the boundary of robotics as we know it today! ( www.perceptyne.com ) How is it like to work at Perceptyne At our core, we like to build things, we evangelize great ideas, and we are grounded. At Perceptyne, we greatly value these dichotomies: Having experience while not losing a first principles approach. Having a large vision while not losing attention to detail Working on disruptive tech while hitting the market ASAP Work Description: As an embedded systems engineer (L3, L4), you are expected to execute all aspects of electronics development on our robot. Your everyday activities would include: system/sub-system level decisions, schema simulations, component selection, schematic capture, PCB design, control algorithm development, firmware programming, testing and production scale-up. Skills / Requirements: Experience Requirements: Bachelors / Masters in Electronics Engineering or equivalent (ECE / EEE / EIE / Mechatronics) >4 years of relevant work experience Technical skill Requirements: Circuit design skills: Good understanding experience of designing sub-sections of boards like power supply management, micro-controller subsystems, ADC/DAC circuits, protection circuits, isolation circuits etc. Extensive knowledge of various electronic components available in the market. Good understanding of signal integrity, reliability, grounding, and isolation guidelines. Good understanding of various figures of merit (specifications) in datasheets Good understanding of all basic circuit configurations: Voltage divider, Pull-up / Pull-down circuits, Inverting / Non-inverting amplifier, RC / LC filters, MOSFET based switches, AC coupling techniques, Biasing techniques, Buck / Boost converters etc. Excellent proficiency with schematic capture and PCB design tools. Dexterity with test equipment (Oscilloscopes, Signal Generators, DMMs etc.) is a must. Firmware development experience: Good proficiency in firmware development, based on C Strong experience using IDEs, debuggers, and other tools from one or more popular microcontroller vendors. Ability to write well architected, modular, documented code. Strong debugging skills Proficiency in LabVIEW / MATLAB / VHDL is a big plus. Good understanding of control systems is a big plus. Soft skill Requirements Passionate about Robotics DIY projects Systematic approach to work, documentation, and tracking. Be resourceful, creative about getting things done with a sense of urgency. Be curious of whatever is happening in the company and pitch in wherever you think you can learn or add value.

As an AI/ML Engineer (Robotics Research), you will be involved in building the intelligence of the robot, end-to-end. You will focus on leveraging machine learning to marry multi-sensor perception, model prediction and robotic actuation. You will come up with innovative methods / pipelines, bootstrap them in simulation and deploy them to control real robot behavior. You will come-up with novel ways to engineer, capture data and train models using various sources including real-world behaviors, active planning, feedback-based control, demonstration-based learning, simulation and transfer learning, and real-world adaptation. Your everyday activities shall include: Innovate to come up with smart, new methodologies in robotic perception and control Play a key role in end-to-end AI/ML system architecture design Theoretical research and hands-on implementation of new AI models, benchmarking and iterating them Building Computer Vision modules for robotics applications Explore and Identify suitable SOTA models, test/benchmark them for our applications, modify / fine-tune / improve them Build model pre-processing and post-processing pipelines in Python / C/C++ Optimize the stack for real-time execution with focus on efficient programming and faster execution times Prototyping & testing concepts, ideas & hypotheses Testing various schemas in perception, planning, manipulation & control Testing & deploying production ready software Skills & Requirements: Experience Requirements: Overall experience ranging from 4 to 8 years in software development. At least 4 years of industry experience as an FTE in building, training and testing AI/ML models and Computer Vision applications Experience building end-to-end system architecture with focus on execution speed and efficiency Bachelors in computer science / Electrical / Electronics / Communications Engineering Masters / PhD in fields related to Computer Vision / Robotics / AI is an added advantage Technical skill Requirements Excellent understanding of architectures in AI, including Transformers, CNNs, RL, Diffusion Policies, Behavioral Cloning, Vision-Action models, VLMs etc. along with their respective applications Hands-on with computer vision with strong focus on building edge-deployable high-framerate systems Strong coding skills in Python and C/C++ and experience with PyTorch/Tensorflow Prior experience in robotic applications is an added advantage Experience with GPU optimization for edge-deployable applications is a big plus Strong aptitude towards debugging and root-cause analysis Strong intuition for relevant math & physics, coordinate geometry, trigonometry, calculus, linear algebra Good understanding of state-of-the-art robotics research Good theoretical / mathematical understanding of robotic manipulators (Forward & Inverse kinematics, Jacobian, DH representations, path planning, control schema, etc.) is an added advantage. Soft skill Requirements Passionate about Robotics & AI. Be resourceful and creative about getting things done with a sense of urgency. Go-getter attitude Experience in building / guiding a team will be an added advantage