Role & responsibilities Experienced in - software services, product, engineering services, and electronics manufacturing services doing end to end sales.Key responsibilities:Lead generationBuild sales pipelineSupport the onsite Sales team in target industries by co-owning the sales cycle.and target GCCs in India.Target industries- Automotive, MedTech, Aerospace & Defence, Hi-tech, and Industrial.At least 5 - 6 years experience in lead generation and sales pipeline creation and owning sales cycles and taking those to closure.Experience of working with product engineering and/or IT services companies doing End to End Sales.Ability to run demand creation campaigns, create the pitch content, build Presentations, and work closely with the business units in supporting proposals.

Role & responsibilities Looking for a sales person who can generate the leads along with keep strong focus on sales.Manage Existing and new Academic Accounts in the assigned territory.Basic understanding of Measurement and Instrumentation equipment.Closing working with Professor/Researchers/Faculties for Academic Labs.Execute the planned activities to find, advance and close opportunities.NI Academics Solutions Promotions - Labview, DAQ products, PXI.Interaction with customers to understand user requirements.Excellent communication and presentation skills, Proficient in Microsoft Office

Primary Skill: Camera/ Video/ Audio/ Multimedia Testing (QA)Work Location: Kochi/ ManesarExp: 2 to 5 Years Skill Sets Required: Work experience on embedded systems based on platforms like Qualcomm, TI, Intel, Ambarella, Ingenic, and NVIDIA. Strong understanding of QA methodologies, tools, and processes. Hands-on experience with test management tools (e.g., JIRA, TestRail). Proficiency in writing clear, concise, and comprehensive Test Plans and Test Cases. Design, develop and execute Test Plans & Test Cases for Embedded systems, Firmware, Video Streaming products like IP Cameras, Dash Cameras, NVRs , DVRs etc. Solid knowledge of embedded systems, IP camera technologies, and network protocols. Experience with hardware-software integration testing. Excellent analytical, problem-solving, and troubleshooting skills. Ability to work independently and as part of a large team in a fast-paced environment. Perform thorough regression, integration, system, functional, and performance testing. Good to have experience with scripting language for automating Test Cases Excellent verbal and written communication skills. Work with customers directly to understand requirements and use cases of the product. Stay updated with the latest industry trends and technologies in embedded systems and Video/Streaming devices. Experience with automation testing tools and scripting languages (e.g., Python, Shell scripting). Knowledge of video streaming technologies and standards (e.g., H.264, H.265). Familiarity with Linux/Unix & Windows operating systems. Experience in Subjective Image quality Evaluation. Knowledge of CAN, SPI, I2C, UART protocols and diagnostic tools. Able to lead and manage a team of 2-3 Engineers and mentor them technically Experience with client handling (Domestic and International If interested, please share your updated profile with pravin.cp@vvdntech.in

System Design & Development:Design and develop machine vision systems for automation applications, including industrial inspection, defect detection, and process control.Collaborate with cross-functional teams to integrate vision systems into manufacturing or production lines.Develop and implement algorithms for image processing, pattern recognition, and analysis.Installation & Integration:Install and configure vision hardware, including cameras, lighting, and vision sensors.Integrate vision systems with existing production machinery, PLCs, and robots.Ensure seamless integration of hardware and software for high-quality performance.Programming & Software Development:Write and optimize software code for vision system applications using relevant programming languages (e.g., C++, Python, MATLAB).Utilize machine vision software platforms (e.g., Halcon, OpenCV, NI Vision) to design and test vision applications.Implement AI-driven image recognition models, leveraging deep learning for advanced inspection tasks.Testing & Calibration:Conduct tests to validate the performance of vision systems in real-world environments.Calibrate cameras, lighting, and other system components to ensure accuracy and reliability.Troubleshoot and resolve any issues that arise during system deployment.Continuous Improvement & Support:Monitor system performance and make recommendations for improvements or adjustments.Provide ongoing support for vision systems and automation equipment.Collaborate with the production team to address any production challenges related to automation systems.Documentation & Reporting:Document system specifications, workflows, and testing procedures.Create training materials for end-users and internal teams.Prepare detailed reports on system performance, issues, and improvement recommendations.Preferred candidate profile:2-5 years of experience working with machine vision systems or industrial automation.Experience with programming languages such as C++, Python, MATLAB, or similar.Familiarity with industrial communication protocols (e.g., TCP/IP, Modbus, EtherCAT).Hands-on experience with vision software such as Halcon, OpenCV, or NI Vision.Knowledge of optical design and lighting principles.Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.Experience with robotic vision integration (e.g., robots with vision systems for automated tasks).Strong problem-solving abilities and attention to detail.Excellent communication skills to collaborate with internal teams and clients.Ability to work independently and as part of a multidisciplinary team.