15 Gazebo Jobs

You are a pioneering startup at the intersection of Robotics, AI, and Construction, revolutionizing the construction industry through innovative AI-driven robotic solutions. Your team comprises experienced professionals from prestigious institutions like IITs and NITs, serial entrepreneurs, AI innovators, and robotics experts. As a Senior Robotics Software Engineer joining this dynamic team, you will play a crucial role in developing cutting-edge robotics technologies for the construction industry. Your responsibilities will include developing and implementing advanced algorithms for robot navigation and control, designing and optimizing motion planning and trajectory optimization systems, creating and refining control systems for robotic construction equipment, developing and maintaining simulation environments for testing and validating robotic systems, implementing sensor fusion algorithms for improved robot perception and decision-making, and collaborating with cross-functional teams to deliver robust, scalable robotics solutions. Key Requirements: - 2-7 years of hands-on experience with a strong background in Robotics and Control Systems. - Expertise in robot localization, mapping, and navigation. - Proficiency in Nav2 and MoveIt2 for navigation and manipulation stack. - Familiarity with simulation environments such as Gazebo, RViz, and NVIDIA Isaac Sim. - Knowledge of the latest robotics libraries and technologies (e.g., ROS2, MimicGen, RoboCasa). - Strong understanding of control systems, including sensor fusion and Kalman filters. - Experience with motion planning and trajectory optimization. - Excellent programming skills in Python. - Ability to thrive in a fast-paced startup environment. Preferred Qualifications: - Advanced degree (MS or PhD) in Robotics, Computer Science, AI, ML, or related field. - Previous experience in the construction industry or with construction robotics. - Publications or patents in relevant fields. - Experience with real-time embedded systems and low-level hardware integration. If you are passionate about pushing the boundaries of robotics in the construction industry and shaping the future of construction technology, we encourage you to apply by sending your resume and a brief description of your relevant experience to tushar@10xconstruction.ai.,

Job Title: Postdoctoral Researcher Robotics, Soft Robotics & Intelligent Computing Job Description: We are seeking a highly motivated Postdoctoral Researcher with expertise in Robotics, Soft Robotics, and Intelligent Computing to join our interdisciplinary research team. This position is ideal for candidates with a strong foundation in robotics engineering, embedded systems, machine learning, or human-robot interaction (HRI), particularly as it applies to assistive technologies and inclusive design. The selected candidate will contribute to cutting-edge research projects focused on developing soft robotic systems, intelligent actuators, or AI-enhanced robotic platforms for real-world applications — including rehabilitation, mobility assistance, human augmentation, or interaction with users with disabilities. Key Responsibilities: Design, simulate, and prototype robotic systems, including soft actuators and flexible mechanisms. Develop control algorithms, sensor integration, and embedded computing systems for soft robots. Apply AI/ML techniques for perception, control, or adaptive learning in robotic systems. Collaborate with interdisciplinary teams across robotics, biomechanics, and human-centered computing. Author high-impact publications and present research at international conferences. Support grant writing, lab mentoring, and stakeholder engagement as needed. Required Qualifications: Ph.D. in Robotics, Mechanical Engineering, Computer Science, Electrical Engineering, or a closely related field. Proven experience in soft robotics, intelligent control, or embedded systems. Strong programming and computational modeling skills (Python, ROS, MATLAB, C++, etc.). Track record of research publications in robotics, HRI, or AI-driven systems. Preferred Experience: Design and fabrication of soft robotic devices (e.g., pneumatic/hydraulic actuators, 3D printing, silicone molding). Machine learning or neural networks for sensorimotor control. Experience with wearable robotics, prosthetics, or rehabilitation technologies. Familiarity with open-source robotic platforms (e.g., ROS, OpenCV, Gazebo).

Role Overview We're seeking an experienced Senior Robotics QA Engineer to lead our test automation initiatives for industrial robotic systems. You'll be responsible for designing, implementing, and maintaining comprehensive test frameworks that validate robot behaviour, performance, and reliability across various industrial scenarios. This role combines deep technical expertise in robotics testing with hands-on experience in ROS-based systems and industrial automation. Key Responsibilities Test Framework Development Design and implement automated test suites for ROS-based industrial robotic systems using appropriate language choices: Python for rapid prototyping, iterative testing, and quick feature validation C++ for high-performance testing, production validation, and resource-critical scenarios Develop comprehensive testing strategies covering unit, integration, and system-level testing Create and maintain test automation frameworks leveraging rostest with unittest (Python) and gtest (C++) Implement continuous integration/continuous deployment (CI/CD) pipelines for robotics applications Optimize test execution for both development speed (Python) and production performance (C++) Industrial Robotics Testing Conduct thorough testing of industrial robot applications including pick-and-place, welding, painting, assembly, and material handling operations Validate robot safety systems, emergency stops, and fail-safe mechanisms Test robot performance under various environmental conditions and operational scenarios Perform regression testing to ensure software updates don't introduce new issues ROS Ecosystem Expertise Implement testing protocols using the complete ROS testing stack: rostest for ROS node-level integration testing unittest (Python) for library-level testing and rapid prototyping validation gtest (C++) for high-performance library testing and production code validation MoveIt2 for motion planning validation and manipulation testing Navigation2 (Nav2) for autonomous navigation and path planning testing RViz for visual testing, debugging, and validation of robot states and sensor data Understand performance trade-offs: utilize Python for fast iteration during development and C++ for throughput-intensive testing scenarios Develop integration tests for ROS nodes, services, and communication interfaces with emphasis on message rate performance and latency validation Test robot perception, navigation, manipulation, and control systems across different performance requirements Validate ROS message passing, parameter handling, and node lifecycle management in both development and production contexts Test motion planning algorithms, trajectory execution, and collision detection systems using MoveIt2 Validate autonomous navigation capabilities, obstacle avoidance, and localization using Navigation2 Simulation & Hardware Testing Design and execute tests in simulation environments (Gazebo, Isaac Sim, Unity) Coordinate hardware-in-the-loop (HIL) testing with physical robotic systems Develop mock nodes and test fixtures for isolated component testing Create realistic test scenarios that mirror real-world industrial environments Utilize RViz for visual validation and debugging of simulation environments Quality Assurance & Reporting Establish quality metrics and KPIs for robotic system reliability Generate comprehensive test reports and documentation Collaborate with development teams to identify and resolve defects Maintain test case libraries and ensure test coverage across all system components Required Qualifications Technical Skills 3+ years of experience in robotics testing or quality assurance Proficiency in ROS/ROS2 with hands-on experience in industrial robotics applications Strong programming skills in Python (for rapid prototyping and iterative testing) and C++ (for high-performance, production-level testing) Deep understanding of ROS testing ecosystem: Python unittest framework for Python-based testing Google Test (gtest) framework for C++ testing rostest for ROS node-level integration testing (combining with unittest/gtest) Motion Planning & Navigation: Experience with MoveIt2 for robot arm manipulation and motion planning testing Knowledge of Navigation2 (Nav2) for mobile robot navigation and autonomous movement validation Understanding of SLAM, localization, and path planning algorithms Visualization & Debugging: Proficiency with RViz for robot state visualization and debugging Experience in visual validation of sensor data, transforms, and robot configurations Knowledge of simulation tools: Gazebo, Unity, NVIDIA Isaac Sim Familiarity with ROS-Industrial packages and industrial robot programming Testing Expertise Experience designing test strategies that leverage both Python (for fast iteration/prototyping) and C++ (for performance-critical validation) Understanding of when to use each language: Python for rapid testing and debugging, C++ for high-throughput message handling and resource-intensive scenarios Knowledge of ROS performance testing methodologies, including message rate benchmarking and latency validation Experience with test automation frameworks and CI/CD pipelines Knowledge of behavior-driven development (BDD) and test-driven development (TDD) Understanding of various testing methodologies: unit, integration, system, regression, and performance testing Experience with property-based testing and mutation testing approaches Proficiency in test case design, test data management, and defect tracking Industrial Domain Knowledge Understanding of industrial automation processes and safety standards Experience with industrial robot applications (manufacturing, assembly, material handling) Knowledge of robotics safety protocols and compliance requirements Familiarity with PLC integration and industrial communication protocols Tools & Technologies Version control systems: Git, GitHub/GitLab Build systems: catkin, ament, CMake Containerization technologies: Docker, Kubernetes Cloud platforms for testing: AWS RoboMaker, Azure, GCP Test management and reporting tools Preferred Qualifications Master's degree in Robotics, Computer Science, or related field Experience with Robot Framework for test automation Deep understanding of ROS performance characteristics and when to choose Python vs C++ for different testing scenarios Knowledge of pyrostest and other advanced ROS testing libraries Familiarity with launch_testing framework for ROS2 Experience with hardware-in-the-loop testing setups Understanding of sensor integration and calibration testing Knowledge of motion planning algorithms and their validation Experience with performance benchmarking, message throughput testing, and latency optimization Experience with energy efficiency testing and computational resource optimization Familiarity with safety standards ( ISO 10218, ISO/TS 15066 ) Experience with MoveIt Studio for advanced motion planning workflows Knowledge of SLAM Toolbox for simultaneous localization and mapping

As a Software Engineer specializing in Simulations at Global Data Analytics, Technology in Maersk, you will play a crucial role in designing, developing, and scaling simulation systems that digitally replicate real-world environments, assets, and systems. Your primary focus will be on enabling predictive analysis, real-time monitoring, and scenario testing to support mission-critical decisions. This hands-on role is ideal for individuals passionate about complex systems, modeling real-world behavior, and building robust simulation engines or platforms. Your responsibilities will include designing and developing simulation engines, tools, and infrastructure to support digital twin applications. You will be tasked with building scalable software systems that accurately model physical, operational, and behavioral characteristics of real-world systems. Collaborating with domain experts to translate real-world systems into digital representations will be a key aspect of your role. Additionally, you will integrate simulation engines with real-time data sources for dynamic updates and predictive modeling, as well as develop and optimize algorithms for discrete-event simulation and agent-based modeling. To excel in this role, you must lead all aspects of the Software Development Lifecycle (SDLC) in alignment with Agile and IT craftsmanship principles. Constantly learning new technologies, mentoring teams, and driving a culture of research and implementation are essential components of this position. Writing secure, scalable, and clean code, along with conducting code reviews to ensure code quality, are critical responsibilities. Troubleshooting, debugging, and upgrading software and infrastructure within a DevOps culture will be central to your daily tasks. Proficiency in Python, C++, or Rust (with a preference for Python for data-driven simulations) is a foundational requirement. Experience with simulation frameworks such as SimPy, AnyLogic, Unity, Gazebo, or others is necessary. A strong understanding of system modeling, discrete event systems, continuous system dynamics, software design patterns, data structures, and algorithms is expected. While familiarity with IoT data pipelines, message brokers, multi-agent systems, reinforcement learning, optimization libraries, cloud platforms, and containerization is considered advantageous, it is not mandatory. Qualifications for this role include a Bachelor's or Master's degree in Computer Science, Engineering, Applied Math, or Physics, along with at least 5 years of experience in software engineering focusing on simulation, modeling, or complex systems. Effective communication skills, a structured and analytical mindset, excellent problem-solving abilities, self-motivation, and a collaborative spirit are highly valued traits for this position. If you are an individual who respects diverse opinions yet can drive decisions collaboratively, we encourage you to apply. Maersk values diversity and inclusivity. If you require any accommodations during the application or hiring process, please contact us at accommodationrequests@maersk.com.,

You will be the Robotics Fleet Management Engineer responsible for designing, developing, and deploying robotic fleets integrated with OpenRMS and OpenTCS platforms. Your expertise in Fleet Management Systems and Autonomous Navigation will be crucial for this role. You will utilize real-time navigation systems such as ROS2 and NAV2 to achieve the objectives efficiently. Your key responsibilities will include developing and integrating fleet management systems using OpenRMS and OpenTCS, implementing autonomous navigation with ROS2, Nav2, and Gazebo, designing and optimizing path planning algorithms, building web-based dashboards and APIs for fleet control and telemetry, interfacing with IoT devices and telematics systems using MQTT, REST APIs, and WebSockets, as well as deploying and managing robotic systems using Docker, Kubernetes, and CI/CD pipelines. Your technical skills should encompass expertise in Fleet Management Platforms such as OpenRMS (including .NET Core, Visual Studio, modular architecture, web API development, etc.) and OpenTCS (including integration with ROS2-based robots, task scheduling, Java backend development, etc.). Proficiency in Robotics & Simulation tools like ROS2, Nav2, Gazebo, RViz, SLAM, sensor fusion, multi-robot coordination, C++, and Python programming for robotic systems is essential. Additionally, experience in Web & IoT Integration with RESTful API design, WebSockets, MQTT, frontend development, and backend scripting is required. Ideally, you should hold a Bachelors or Masters degree in Robotics, Computer Science, Mechatronics, or a related field. Experience with OpenRemote platform, Docker-based deployments, contributions to open-source robotics projects, familiarity with cloud robotics platforms, and knowledge of rigid body dynamics and Multi-DOF system modeling will be advantageous.,

Job Summary : We are looking for a highly capable and driven Robotics Engineer to join our growing team. The ideal candidate will bring deep technical experience in robotic control, simulation, and intelligent systems, along with strong cross-functional collaboration skills. You will play a key role in developing and deploying robotic arms, UGVs, and future humanoid systems that integrate sensing, perception, control, and intelligence. Key Responsibilities : Develop and implement forward and inverse kinematics for robotic arms and multi-DOF systems. Design and optimize real-time control systems using PID, FOC, and model-based techniques. Integrate BLDC motors, drivers, encoders, current sensors, and power management into robotic platforms. Work with cross-functional teams (electronics, mechanical, software) to design and validate custom end-effectors, tool changers, and force-feedback interfaces. Create simulation environments in Gazebo, Isaac Sim, Webots, or MATLAB/Simulink and validate physical behaviours. Deploy robotic software on NVIDIA Jetson platforms (Nano, Xavier, Orin) with CUDA acceleration where needed. Implement reinforcement learning models and machine learning pipelines for autonomous task learning and adaptive control. Develop and tune perception systems using RGB, depth, and thermal cameras, LiDAR, and multi-sensor fusion. Program using C++ and Python, integrating seamlessly with ROS1/ROS2. Build robust communication over UDP, TCP, and CAN networks. Contribute to system integration, testing, field validation, and deployment of telerobotic systems. Required Skills & Qualifications : Bachelors or Masters in Robotics, Mechatronics, Electronics, or related discipline. 5 to 7 years of experience in robotics system development, including robotic arms, UGVs, or COBOTs. Proficiency in C++ and Python, with practical ROS-based development experience. Expertise in robotic kinematics/dynamics, trajectory generation, and multi-sensor control loops. Strong background in control systems, motor drivers, BLDC motor tuning, and power systems. Experience with robot simulation and digital twin creation. Familiarity with real-time embedded systems, sensor integration, and calibration workflows. Hands-on experience with camera systems, LiDAR, and perception pipelines. Knowledge of machine learning, especially reinforcement learning models for robotics. Deployment experience on NVIDIA SBCs (Jetson series) and embedded Linux platforms. Experience in networking protocols (UDP/TCP/CAN/I2C/SPI). Ability to collaborate cross-functionally, especially on custom end-effector development and full-stack integration. Bonus Points For : Immediate joining availability. Experience with teleoperation systems, VR/AR control, or gesture-based interfaces. Familiarity with humanoid robotics, balance control, or compliant actuation. Contribution to open-source robotics projects or community forums. Deep knowledge of real-time diagnostics, data logging, and fault-tolerant system design. Exposure to mission-critical or ruggedized robotic deployments. Minimum Experience : 5 to 7 Years. Experience will be overseen if right skillset is available. Join us in shaping the future of human-machine interaction and driving positive change. Apply today !

This is a full-time on-site role for a Robotics Software Engineer based in Chennai. You will be responsible for designing, developing, and testing software for autonomous mobile robots. Your day-to-day tasks will include software development, programming, object-oriented programming, and back-end web development to ensure the robots perform optimally in real-world environments. You should have a Bachelors degree or higher in Robotics, Computer Science, Mechatronics, Electrical/Mechanical Engineering, or equivalent. Additionally, you should have at least 1 year of professional ROS/ROS2 development experience, preferably in AGV, AMR, or humanoid systems. Proficiency in C++ and Python on Ubuntu/Linux environments is required. Experience in integrating hardware components such as LiDAR, cameras, IMU, motor drivers, and joint controllers is essential. A solid grasp of control theory, SLAM, motion planning, and navigation tuning is expected. Familiarity with robotics simulation tools like Gazebo and real-world testing workflows is advantageous. You should possess excellent debugging, profiling, and system diagnostics skills. Strong communication skills and the ability to collaborate across hardware/software/control disciplines are also necessary for this role. This role is a full-time, permanent position with a day shift schedule. The work location is in person.,

Founded in 2019, Peer Robotics is a collaborative mobile robotics company dedicated to building material handling solutions for small and medium-scale manufacturers. The current landscape of automation is complex, often posing challenges for integration and deployment, particularly for smaller enterprises. At Peer Robotics, we have assembled a team of experts in robotics, hardware, and software to develop robots that can learn from human interactions in real-time. This approach enables us to offer flexible and adaptable solutions that can be easily deployed by individuals on the shop floor. Our overarching vision is to create robots that are as user-friendly as smart home devices, simplifying the integration and deployment process within manufacturing environments. As a venture-backed startup, we have active sales, deployments, and revenue streams in both the US and India, with a strong emphasis on research and product development. Our primary target customers include automotive, electronics, machine tools, and aerospace manufacturers with revenues ranging from $50 million to $200 million. These companies are typically privately-owned and serve as tier 2-3 suppliers to larger enterprises. As a Robotics Engineer at Peer Robotics, you will play a dual role as an entrepreneur and an advanced individual contributor. Leveraging a diverse skill set and practical experience in developing intelligence modules for mobile robots, you will be responsible for creating a software stack and advanced algorithms related to Mapping, Computer Vision, or Navigation for mobile robots. This role will involve engaging with potential customers to understand their needs, developing intelligent modules to support small and medium-scale manufacturers with automation, and leading the division to release new versions or upgrades of navigation or mapping modules. The ideal candidate should have a successful track record in building navigation or mapping modules for mobile robots deployed in warehousing or manufacturing settings. Proficiency in ROS framework, C++, Gazebo, SLAM, Motion planning, Robot Navigation, Mobile Robotics, Computer Vision, and Machine Learning is highly desired. Additionally, experience in deploying robots in manufacturing lines or warehouses, excellent interpersonal and communication skills, strategic thinking abilities, and a proactive approach to decision-making are key qualities we are looking for. In this role, you will be expected to take ownership of large-scale projects, core modules critical for product success, and the formation of specialized teams for various verticals. Collaboration with full-stack development and hardware teams will be essential in designing and architecting solutions, selecting appropriate frameworks and tools, outlining roadmaps, and ensuring timely delivery. Peer Robotics offers a dynamic work environment with perks such as the opportunity to be part of a transformative team reshaping industrial automation, freedom to innovate across the full stack, leadership opportunities for team building, competitive salary, equity options, and flexible working hours. Join us in revolutionizing the future of robotics and industrial automation.,

This is a full-time on-site role for a Robotics Software Engineer based in Chennai. As a Robotics Software Engineer, you will be responsible for designing, developing, and testing software for autonomous mobile robots. Your day-to-day tasks will involve software development, programming, object-oriented programming, and back-end web development to ensure that the robots perform optimally in real-world environments. To be successful in this role, you should have a Bachelors degree or higher in Robotics, Computer Science, Mechatronics, Electrical/Mechanical Engineering, or equivalent. You should also have at least 1 year of professional ROS/ROS2 development experience, preferably in AGV, AMR, or humanoid systems. Proficiency in C++ and Python in Ubuntu/Linux environments is essential, as well as experience integrating hardware components such as LiDAR, cameras, IMU, motor drivers, and joint controllers. A solid grasp of control theory, SLAM, motion planning, and navigation tuning is required, along with familiarity with robotics simulation tools like Gazebo and real-world testing workflows. Excellent debugging, profiling, and system diagnostics skills are necessary for this role, as well as strong communication skills to collaborate effectively across hardware/software/control disciplines. This is a full-time, permanent position with a day shift schedule. The work location is in person in Chennai.,

Job Description: DeepEdge is a growing silicon valley based company that enables customers to bring innovative AI-enabled products to market. With its innovative DeepLearning platform, DeepEdge brings Deep Learning, Machine Learning, and AI to Edge devices. As a premium technology partner to leading companies like Nvidia, Qualcomm, Intel, and Ambarella, DeepEdge has helped numerous customers realize their value proposition. If you are passionate about continuous learning, take pride in your work, and prioritize customer satisfaction, we welcome you to join us at our India Development centers in Hyderabad or Mumbai and be part of the AI revolution. We are looking for a Simulation Engineer to join our team at DeepEdge AI India Pvt Ltd in Hyderabad. The ideal candidate should have 2-4+ years of experience and possess strong programming skills along with a collaborative and problem-solving mindset. Key Responsibilities: Simulation Development: - Develop and integrate simulation modules using platforms such as Gazebo, Isaac Sim, Unity, or Unreal Engine. - Create data pipelines to generate synthetic sensor outputs (e.g., thermal/IR imaging) in real-time. Data Integration & Customization: - Optionally include externally generated CFD (Computational Fluid Dynamics) data to enhance realism. - Develop custom plugins, particle systems, or shaders for desired sensor effects. Automation & Optimization: - Automate simulation scenarios for efficient data collection. - Test and optimize performance to ensure accuracy and efficiency. Collaboration & Documentation: - Collaborate with cross-functional teams and experts to align simulation outputs with project requirements. - Maintain clear documentation on system design and integration processes. Required Skills & Experience: - 2-4 years of experience in simulation, robotics, or game development. - Proficiency in Python and/or C++. - Hands-on experience with simulation tools like Gazebo, Isaac Sim, Unity, or Unreal Engine. - Familiarity with real-time graphics programming and sensor simulation. - Strong analytical, communication, and teamwork skills. Plus (Optional): - Basic knowledge of CFD and experience with CFD data (e.g., OpenFOAM). - Experience with middleware such as ROS. Why Join Us - Work on cutting-edge simulation technology with real-world impact. - Collaborate with a diverse, multidisciplinary team. - Enjoy a flexible, innovative work environment with growth opportunities.,

Role & responsibilities ROS Developer Over all experience: 10-15years Key Responsibilities: Develop ROS-based software for robotic systems. Integrate sensors and actuators using Python and ROS libraries. Work with simulation tools like Gazebo for testing robotic behaviours. Optimize algorithms for motion planning, perception, and control. Debug and troubleshoot ROS nodes and packages. Collaborate with hardware engineers to ensure seamless integration. Skills Required: Proficiency in Python Experience with ROS/ROS2 and its ecosystem. Knowledge of robotics frameworks (Gazebo) Understanding of embedded systems and real-time processing. Familiarity with AI/ML for robotic applications. Preferred candidate profile

Role & responsibilities The required skill set for the role will be: Hands-on experience in working on at least 2-3 robotics projects Expertise in C++/Python programming and should have experience working with them. knowledge of Gazebo, URDF Models, Manipulation, Motion Planning, and Robot Navigation. Comfortable with gazebo simulation with ROS Should be available for a minimum of 6 months

About the job: Key responsibilities: 1. Design and develop advanced UAV platforms, including fixed-wing, multirotor, and hybrid systems 2. Research and select optimal components like motors, batteries, ESCs, sensors, telemetry, and communication modules 3. Create detailed 3D models and manufacturing-ready technical drawings using CAD software (SolidWorks, AutoCAD, Fusion 360) 4. Design and develop custom PCBs and integrate avionics systems for UAVs 5. Configure and fine-tune flight controllers such as ArduPilot for autonomous and semi-autonomous missions 6. Develop ground control interfaces, tracking modules, and mission software using Python/C++ and MAVLink protocols 7. Conduct flight tests, troubleshoot system issues, and iterate on prototypes based on real-time performance data 8. Ensure compatibility between hardware, electronics, and software through integrated system testing 9. Maintain high-quality documentation of system architecture, BOMs, test results, and iteration logs 10. Take initiative in solving complex R&D challenges and contribute to the complete product development cycle 11. Collaborate with our team to design and develop innovative UAV systems tailored for military applications Who can apply: Only those candidates can apply who: are Electronics Engineering students Salary: ₹ 3,00,000 - 5,00,000 /year Experience: 0 year(s) Deadline: 2025-07-10 23:59:59 Other perks: Informal dress code, Free snacks & beverages Skills required: MATLAB, OpenCV, Python, SolidWorks, Power Systems, Robotics, ANSYS, Embedded Systems, Problem Solving, Circuit Design, Computer Vision, Autodesk Fusion 360, C++ Programming, Prototyping, Design Thinking, Gazebo, Robot Operating System (ROS), CAD, Circuit Modeling & Simulation and Troubleshooting Other Requirements: 1. A recent graduate (or soon‑to‑be alumnus) in aerospace, mechanical, electronics, or computer engineering or an engineer with 1–2 years of hands‑on UAV/drone experience 2. Hands-on experience in building, flying, and debugging drones or UAV systems (DIY or professional projects) 3. Solid foundation in UAV principles: aerodynamics, propulsion systems, control theory, and flight dynamics 4. Proficiency in CAD software such as SolidWorks, AutoCAD, or Fusion 360 5. Experience with ArduPilot or PX4, including PID tuning, telemetry setup, and mission planning 6. Familiarity with embedded systems, PCB design, soldering, and integrating various flight components 7. Programming experience in Python/C++, especially for flight software, ground stations, or tracking modules 8. A passion for defence tech, willingness to learn rapidly, and comfort with a fast-paced, experimental environment 9. Excellent problem-solving skills, attention to detail, and the ability to own and deliver projects independently About Company: The company's primary objective is to engage in the design, development, and manufacturing of high-performance unmanned aerial vehicles, hereafter referred to as 'drones,' specifically engineered for security and surveillance applications. The company is dedicated to advancing UAV technology by integrating cutting-edge features and systems that enhance monitoring capabilities, facilitate accurate data collection, and support real-time situational awareness. In pursuit of this objective, the company shall engage in research, product design, and rigorous quality control processes to create drones that address the unique requirements of surveillance operations, ensuring reliability, operational efficiency, and adaptability for various security needs.

Role & responsibilities Basic experience with embedded development on Arduino and Raspberry Pi. Proficiency in C++ and Python for embedded systems. Familiarity with robotic simulation environments in linux platforms(Gazebo, Webots, etc.). Understanding of ROS/ROS2 and its components. Ability to work with sensor data and robot models. Preferred candidate profile B.Tech or M.Tech with Embedded Systems knowledge and understanding.

ROLES & RESPONSIBILITIES Design and implement advanced SLAM and sensor fusion algorithms in C++ using ROS1 / ROS2. Integrate and calibrate sensors like LiDAR, IMU, GPS, and Cameras, to build robust state estimation pipelines. Integrate and develop custom drivers, ROS nodes, and message filters for real-time robotic systems. Use GTSAM, Ceres Solver, or similar tools for graph optimization and sensor fusion. Build scalable and reusable ROS1 / ROS2 packages for perception, localization, and mapping. Test algorithms both in simulation (Gazebo, RViz) and on physical robotic platforms. Collaborate closely with hardware and embedded teams for system-level integration. Maintain high coding standards with unit tests, ROS test coverage, and CI integration. Document code, algorithms, and interfaces to support collaborative development. REQUIRED SKILLS- Strong proficiency in Modern C++ (C++14/17/20) with deep understanding of memory management, STL, multithreading, and templates. Hands-on experience with SLAM (e.g., LIO-SAM, ORB-SLAM) and sensor fusion techniques. Proficiency in ROS (ROS 1 or ROS 2) development and ecosystem. Strong understanding of robot kinematics, SE(3) transformations, rotation/translation matrices, and pose graphs. Experience with Ceres Solver, GTSAM, or other optimization frameworks for non-linear least squares problems. Familiarity with tools like Rviz, Gazebo, tf2, and rosbag. Experience with Git, CMake, and writing well-documented, modular code. Solid mathematical foundation in linear algebra, probability, and optimization. Deep understanding of robotic system design and control architectures. NOTE - 1. If Interested , Kindly Send The UPDATED CV to Mr. Sushil Kr Singh (HR Head) at hr.talent@arc.ventures 2. The job Location is Koramangla (Bangalore)