372 Lidar Jobs - Page 9

About Soul AI:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.. Who you are & how you can contribute?. We are seeking a Biology Expert. The role involves working on data annotation and model refinement for AI through RLHF and SFT techniques. This fully remote position allows for flexible work hours while contributing to AI’s advancement.. What you will be doing?. Annotate Biology-related data to improve AI comprehension.. Provide feedback on AI-generated responses to ensure scientific accuracy.. Assist in developing problem sets and solutions for AI training.. Collaborate with AI researchers to refine AI capabilities in the field of Biology.. Must Required Traits:. Strong academic background in Biology.. Experience in Biology education, research, or content creation preferred.. Familiarity with AI, machine learning, or data annotation is a plus.. Excellent problem-solving and analytical skills.. Why join us?. Fully remote and flexible work schedule.. Opportunity to work on cutting-edge AI technology.. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!. Show more Show less

About the Company : We are looking for an experienced Digital Twin Developer to lead the design and implementation of a next-generation simulation and analytics platform for connected transportation systems. About the Role : This role focuses on creating real-time, physics-accurate digital replicas of road environments, vehicles, pedestrians, and infrastructure using tools like NVIDIA Omniverse technology or similar enterprise digital twin platforms. You’ll work closely with ML engineers, data scientists, and simulation experts to bring to life traffic participant’s behaviour onto the platform. Responsibilities : Develop scalable, interactive digital twins for autonomous driving simulation, including vehicle behaviour, traffic dynamics, pedestrian modeling, and V2X scenarios. Integrate LiDAR, camera, and RADAR sensor data into high-fidelity 3D environments using Omniverse or VISSIM or similar. Collaborate with AI/ML teams to inject ground truth data and synthetic variations to improve prediction accuracy. Develop 3D assets / city visualizations and integrate with live data feed with accurate positioning. Qualifications : ~5 years of experience in simulation, game engines, or digital twin development. 3D modelling tools like Maya / Blender & USD composer / presenter. Proficiency in Python, C++, and 3D simulation platforms (e.g., Omniverse / Nucleus, CARLA, Unity and/or VISSIM). Experience with integrating LiDAR, RADAR, and camera simulations. Understanding of basic ML systems. Familiarity with event-driven architectures, real-time streaming (Kafka, Flink), and CEP engines. Deploying / Hosting digital twin platforms in cloud. Hands-on experience with 3D modelling formats like USD, FBX, or glTF. Required Skills : Strong mathematical and physics fundamentals for kinematics and motion modeling. Experience with HD maps, city visualizer, localization systems, and coordinate transformations. Any Previous work in factory modelling, smart city infrastructure, or V2X communications would be an added advantage.

About the Role The mission of the Global Scaled Solutions (GSS) team is to transform Uber's best ideas into agile, global solutions. The team is spread out globally between the US (San Francisco, Sunnyvale, Boulder), India (Hyderabad, Bangalore), HongKong, Singapore, and Amsterdam. The Global Scaled Solutions (GSS) is focused on delivering a range of capabilities/objectives to multiple Tech and business teams while maximizing value for Uber through solutions that are: Automated & Innovative Industry Leading Cross-organizational & Integrated At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward together. As a Program Manager with the AI and Data Solutions team, you will be responsible for running human in the loop (HITL) operations for ML/AI projects both internal to Uber and externally as part of Go external strategy. You will gather the requirements from stakeholders to convert it into a SOP (standard operating procedures), help hire the right talent and train the team to meet the quality and efficiency goals for the project. Run multiple pilots and help convert the pilots to scaled processes. - What You Will Do - Build strong relationships with cross-functional team members and work collaboratively with key stakeholders to deliver on the following: Operational Efficiency Identify gaps and risks to the organization and operational efficiencies. Create programs, processes, and policies to drive improvements. Monitor, evaluate, and continuously improve the organization by being a trusted advisor, facilitator, and creative problem solver. Implement continuous improvements to the organization and the program management process Execution Drive the execution of operational programs, projects, and initiatives. Handle issue escalations and proactively remove obstacles to drive momentum and progress Set and scale new pilot projects, write detailed SOPs for the vendor teams, identify process challenges along with tool improvements Financial and Headcount Management Ensure organizational spending aligns with budget and priorities Communication Lead the communications strategy for your programs. Ensure information flows clearly and efficiently to enable teams Build strong partnerships with Product, Engineering, and Data Science teams and represent GSS in cross-team meetings/reviews Insights Identify data based opportunities to improve process and customer experience - What You Will Need - Experience managing programs in 2D and 3D LiDAR annotations, object detection, semantic segmentation, polyline, and polygon annotation Ideate and drive programs aimed at driving efficiencies for GSS Facilitate and drive high-impact initiatives to improve process quality and the customer experience Collaborate with key stakeholders for scoping and prioritizing project activities based on the business impact and team OKRs Turn analyzed data into actionable deliverables for the product, support, and operational improvements Work with vendor teams to execute ideas and deliver continuous improvement of programs Interface with tech leads and engineers to estimate efforts, define milestones, track progress, resolve dependencies, evaluate risks and communicate status to project stakeholders Ability to work with engineer/product/ internal teams to deliver tool/tech solutions that will drive long term improvements in operational efficiency Communicate plans, insights, data, and results to project stakeholders Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization Design experiments and interpret the results to draw detailed and actionable conclusions Present findings to senior management to guide business decisions Track, analyze, and report data patterns and trends associated with the programs you own - Preferred Qualifications - Worked at a high-paced, fast-growing tech startup, large tech company, or has a consulting background Analytics background. You have collected, structured and analyzed data to drive key insights

* Operate drones for aerial surveillance, terrain mapping, and data collection. * DGCA certified Remote Pilot License * Knowledge of mapping software (e.g., QGIS, Global Mapper, ArcGIS) is a plus. Travel allowance Food allowance

Any degree/Bachelor's degree in Geospatial Science, Geomatics, Remote Sensing, or a related field. Minimum of 6 months of practical experience in LiDAR data collection, processing, and analysis. Proficiency in LiDAR software and tools (e.g., TerraScan, LAStools, ArcGIS, Microstation). Strong understanding of LiDAR technology, principles, and applications. Solid problem-solving and analytical skills. Excellent attention to detail and data accuracy. Effective communication and teamwork abilities. Knowledge of GPS and GNSS systems is a plus. Contact : 99381013517 Ping to : aneesa@dsmsoft.com For more details: www.dsmsoft.com

Naksha solutions is looking for GIS / Remote sensing Expert / Executive to join our dynamic team and embark on a rewarding career journey Assisting with the preparation of operating budgets, financial statements, and reports. Processing requisition and other business forms, checking account balances, and approving purchases. Advising other departments on best practices related to fiscal procedures. Managing account records, issuing invoices, and handling payments. Collaborating with internal departments to reconcile any accounting discrepancies. Analyzing financial data and assisting with audits, reviews, and tax preparations. Updating financial spreadsheets and reports with the latest available data. Reviewing existing financial policies and procedures to ensure regulatory compliance. Providing assistance with payroll administration. Keeping records and documenting financial processes.

I. Hiring specifications Job Purpose: OEM Engineering Lead will be responsible to drive the development and integration of Advanced Driver Assistance Systems (ADAS) products. This role requires deep technical expertise in ADAS technologies, system integration, and OEM collaboration. The ideal candidate will act as the technical lead, ensuring smooth execution of ADAS programs from concept to production while interfacing with internal and external stakeholders. This role requires a deep understanding of automotive engineering, ADAS technologies, and integration processes. Role Expectations Oversee the engineering design, development, and integration of ADAS components, including sensors, cameras, radar, lidar, and control systems. Work closely with hardware and software teams to ensure seamless system integration into OEM vehicle platforms. Manage technical risk assessments and propose mitigation strategies. Act as the primary technical interface between the company and OEM customers for ADAS product development. Lead discussions on system integration, requirements, and validation processes. Ensure alignment between OEM requirements and internal engineering capabilities. Manage technical reviews, design reviews, and program milestones with OEMs. Monitor project progress, identify risks, and implement corrective actions as needed. Drive continuous improvement initiatives and best practices in ADAS development. Reporting Structure Role will report into Product and Technology Head Interactions Internal Stakeholders: Engineers from product development External Stakeholders: Customers/Clients II. PEOPLE SPECIFICATIONS Profile: Ideally ~ BE or B.Tech in Mechanical Engineering or Industrial engineering with 8-12 years Bachelor’s or Master’s degree in CSE, Electrical Engineering, Automotive Engineering, or a related field. Requisites Strong knowledge of ADAS technologies Hands-on experience in ADAS system design, integration, and validation. Proven track record of working with OEMs and Tier 1 suppliers in the automotive industry. Strong foundation in automotive engineering, embedded systems, and control systems. Experience leading technical discussions, product integration, and system validation with OEMs. Competencies Technical: Strong understanding of ADAS technologies, sensors (Camera, Radar, LiDAR), and perception algorithms. Experience in vehicle integration, system engineering, and E/E architecture. Proficiency in automotive communication protocols (CAN, LIN, Ethernet, FlexRay). Behavioural Hi Tech way of working: We value behaviour aligned with CCODERS Customer First: Operate with customer success mind set and align all our actions accordingly. Collaborative problem solving: Organisation interest supersedes individual interests; working together to solve problems effectively. Ownership & Commitment: Going above & beyond the call of duty while also keeping up with the promises & targets under any circumstances. Data Driven, First Principle : Objective Decision making based on data (Not on Hunches) Expanding-Growth Mind set: Be open to new challenges whilst willing to step out of comfort zone in order to learn and grow. Result & commercial orientation: Manage cost and resources to achieve business outcomes & commercial success. Speed and Scalable Process Approach: Deploy processes that are flexible, agile and unlocks business value with speed. Show more Show less

Job Description Summary: "We’re looking for a UAV Flight Test Engineer to lead and execute flight trials of Soaron's industrial drone systems, including the Colorown painting modules and CleanHigh cleaning modules. The ideal candidate brings both hands-on drone flight expertise and the discipline of structured aerospace testing to validate, improve, and push our products to deployment." Key Skills and Background: Technical Competence Strong in aerodynamics , flight mechanics , control systems , and dynamics of multirotors or hybrid UAVs. Deep understanding of drone flight controllers (e.g., Pixhawk, CubePilot, DJI SDK). Familiarity with onboard sensors : IMU, GPS, barometer, lidar, cameras, etc. Able to configure/test autonomous flight plans , failsafes , and manual override systems . Test Methodology Experience in designing flight test plans , safety protocols , and data logging procedures . Capable of analyzing telemetry , flight logs , and performance data . Skilled in using tools like Mission Planner , QGroundControl , or proprietary platforms. Practical Execution Comfortable with hands-on drone assembly , calibration, ground checks. Can execute or supervise test flights , and interpret abnormal behavior . System Thinking Able to collaborate with mechanical , electrical , and software teams to debug flight issues. Understands integration of subsystems: payload, communication, power management, etc. Preferred Background: B.Tech / M.Tech in Aerospace , Avionics , Mechatronics , or Electronics . 2–5 years of UAV testing experience (especially with industrial drones or custom builds ). Ideally has worked with startups or R&D labs, showing agility and ownership. DGCA RPAS experience or knowledge of Indian drone regulations is a plus. Soft Skills: Calm under pressure during live tests. Systematic thinker , not trial-and-error driven. Strong documentation and reporting skills . Willing to work on-site during integration and long test cycles. Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: telemetry protocols (mavlink, dds, rtps),python,qt,drone integration,simulation tools,c/c++,javafx,simulation tools (gazebo, x-plane, matlab/simulink),java,react,rf/antenna setups,mission planning systems,networking fundamentals (udp/tcp, qos),linux/windows os,docker/kubernetes,flight testing & analysis,airworthiness standards,embedded hardware,ground control system Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

About The Opportunity Operating at the cutting edge of Aerospace & Unmanned Aerial Systems (UAS) , our Mobility Solutions division engineers next-generation ground-control hardware and software that connect autonomous aircraft to operators across complex environments. From mission-planning GUIs to secure telemetry links, we tackle real-time challenges where reliability, safety, and intuitive UX converge. Role & Responsibilities Co-develop ground-control software and workstation hardware for mission planning, telemetry monitoring, and command-and-control of multi-rotor and fixed-wing UAV fleets. Integrate GCS with avionics, nav-systems, and SATCOM/RF links, collaborating closely with flight-control, payload, and networking teams to ensure seamless data flow. Write, debug, and unit-test code in C/C++, Python, or Java; contribute to modular architectures that scale from desktop to ruggedized field stations. Configure, calibrate, and troubleshoot ground stations for lab, field-test, and customer demos, documenting best-practice deployment playbooks. Author and execute verification plans (SIL/HIL, regression, environmental) to validate performance, safety, and airworthiness compliance under diverse conditions. Analyse flight-test data to uncover issues, drive root-cause analysis, and recommend design or process improvements. Skills & Qualifications Must-Have Bachelor’s degree in Computer Science, Aerospace, Electronics, Robotics, or related discipline. 3-6 yrs experience building or testing ground-control stations, mission-planning software, or real-time operator consoles for UAVs or similar robotics. Proficiency in C/C++ or Python plus familiarity with version control and CI/CD pipelines. Working knowledge of telemetry protocols (MAVLink, DDS, RTPS) and networking fundamentals (UDP/TCP, QoS). Hands-on experience with simulation tools (e.g., Gazebo, X-Plane, MATLAB/Simulink) and basic flight-dynamics principles. Strong troubleshooting skills across Linux/Windows OS, embedded hardware, and RF/antenna setups. Preferred Exposure to airworthiness or safety standards (DO-178C, DO-330, DO-331). Experience integrating payload sensors (ISR, EO/IR, LIDAR) and autonomous mission workflows. Familiarity with Docker/Kubernetes for containerised GCS deployments. Prior participation in flight-test campaigns and post-mission data analytics. Knowledge of JavaFX, Qt, or React-based UIs for operator consoles. Certifications in drone pilot licensing or regulatory compliance (DGCA, FAA Part 107). Skills: Simulation tools,Airworthiness Standards,Drone integration,Flight testing & Analysis,Ground Control System,Mission planning systems Show more Show less

Job Summary: The GIS Expert will lead the Geographic Information System (GIS) initiatives within the organization, providing technical expertise, strategic direction, and leadership in GIS technology and applications. This role involves collaborating with stakeholders to analyze spatial data requirements, design GIS solutions, and implement geospatial workflows to support business objectives. The ideal candidate has extensive experience in GIS, strong analytical skills, and the ability to manage complex projects. What You’ll Do: Lead the development and implementation of our GIS strategy. Design custom GIS solutions using tools like ArcGIS, QGIS, Mapbox, and Leaflet. Build and manage spatial databases and interactive mapping applications. Collaborate across teams to integrate GIS into business workflows. Deliver impactful maps, dashboards, and visualizations. Train internal teams and promote GIS best practices. What We’re Looking For Bachelor's in Computer Science, IT, or a related field (Master’s preferred). Minimum of 5+ years of experience in GIS, with at least 3 years in a senior role. Strong leadership, project management, and team coordination skills. Expert knowledge of GIS software (ArcGIS, QGIS), spatial databases (PostGIS, Oracle Spatial), and scripting (Python, JavaScript, R). Familiarity with tools like Tableau, Power BI, Mapbox, OpenLayers, Leaflet, etc. Knowledge of geospatial data standards (OGC, WMS, WFS) and cloud GIS platforms. Experience of working with geospatial data in various formats such as Excel, CSV, shape file, KML etc. and developing geospatial data validation tools (web based). Ability to simplify complex spatial concepts and communicate them clearly. Bonus Points For Experience with Agile/Scrum methodologies and DevOps workflows. Exposure to remote sensing, LiDAR, and GPS-based data collection. Hands-on development of geospatial dashboards and interactive maps. Enthusiasm to train others and promote a culture of data-driven decision-making. Apply directly via our website: 👉 https://dic.gov.in/jobs/gis-expert-2/ Show more Show less

About the Role: We are looking for an experienced Digital Twin Developer to lead the design and implementation of a next-generation simulation and analytics platform for connected transportation systems. This role focuses on creating real-time, physics-accurate digital replicas of road environments, vehicles, pedestrians, and infrastructure using tools like NVIDIA Omniverse technology or similar enterprise digital twin platforms. You’ll work closely with ML engineers, data scientists, and simulation experts to bring to life traffic participant’s behaviour onto the platform. Key Responsibilities: Develop scalable, interactive digital twins for autonomous driving simulation , including vehicle behaviour, traffic dynamics, pedestrian modeling, and V2X scenarios. Integrate LiDAR, camera, and RADAR sensor data into high-fidelity 3D environments using Omniverse or VISSIM or similar. Collaborate with AI/ML teams to inject ground truth data and synthetic variations to improve prediction accuracy. Develop 3D assets / city visualizations and integrate with live data feed with accurate positioning . Required Skills: ~5 years of experience in simulation, game engines, or digital twin development. 3D modelling tools like Maya / Blender & USD composer / presenter. Proficiency in Python , C++ , and 3D simulation platforms (e.g., Omniverse / Nucleus , CARLA , Unity and/or VISSIM ). Experience with integrating LiDAR, RADAR, and camera simulations. Understanding of basic ML systems . Familiarity with event-driven architectures , real-time streaming (Kafka, Flink) , and CEP engines . Deploying / Hosting digital twin platforms in cloud. Hands-on experience with 3D modelling formats like USD, FBX, or glTF. Nice to have skills: Strong mathematical and physics fundamentals for kinematics and motion modeling. Experience with HD maps , city visualizer, localization systems, and coordinate transformations. Any Previous work in factory modelling, smart city infrastructure , or V2X communications would be an added advantage Show more Show less