3 Imus Jobs

Qualcomm India Private Limited is seeking a Systems Lead Engineer to join the XR Research team, which focuses on developing cutting-edge XR solutions. As part of this team, you will be at the forefront of creating next-generation technologies and architectures that will shape the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) applications. The ideal candidate for this position should have a Bachelor's degree in Computer Science, Electrical Engineering, Information Systems, or a related field, along with a minimum of 3 years of experience in C++ Programming Language and embedded device development. The role involves designing and developing highly optimized embedded software/firmware using C and C++ languages on various platforms such as Windows, Android, and Linux. Additionally, the candidate should have a strong understanding of embedded hardware and driver concepts, as well as excellent verbal and written communication skills. The ability to work effectively in a team with minimal supervision is also essential. Responsibilities of the Systems Lead Engineer include working on prototype devices for perception technologies, developing low-level device drivers, managing HW/SW interfaces, and collaborating with different stakeholders to define device requirements. The role also involves bringing up new camera and IMU sensors, working on I2C/SPI interfaces, and having a basic understanding of electronics. Flexibility in work assignments is crucial due to the dynamic nature of the fast-paced environment. Preferred qualifications for this role include a Master's degree in Computer Science, Electrical Engineering, Information Systems, or a related field, as well as experience in Augmented/Virtual Reality technologies and computer vision enabling technologies. Candidates with a background in designing prototype devices using microcontrollers, sensors, FPGA, cameras, and IMUs, as well as experience in developing sensor drivers, are encouraged to apply. Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, you can contact Qualcomm via email at disability-accommodations@qualcomm.com or through their toll-free number. It is essential for all employees at Qualcomm to adhere to the company's policies and procedures, including those related to security and the protection of confidential information. The company expects its employees to maintain confidentiality and comply with applicable laws and regulations. For more information about this role or to inquire further, please reach out to Qualcomm Careers.,

Qualcomm India Private Limited is seeking a Systems Lead Engineer to join the XR Research team in developing cutting-edge XR solutions, including Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) technologies. As a Systems Lead Engineer, you will play a key role in driving next-generation technologies and architectures while shaping the future of perception technologies for XR applications. The ideal candidate will have a Bachelor's degree in Computer Science, Electrical Engineering, Information Systems, or a related field, along with a minimum of 3 years of experience in C++ programming language and embedded device development. The successful candidate will be responsible for designing and developing highly optimized embedded software/firmware using C and C++ languages on Windows, Android, or Linux platforms. Additionally, the candidate should have a strong understanding of embedded hardware and driver concepts, as well as excellent verbal and written communication skills. Key responsibilities of the Systems Lead Engineer include collaborating with stakeholders to define device requirements, developing low-level device drivers, working on HW/SW interfaces, and bringing up camera/IMU sensors drivers. The candidate will also be involved in building reference/prototype devices, coordinating with cross-functional teams, and adapting to changing priorities in a fast-paced environment. Preferred qualifications for this role include a Master's degree in Computer Science, Electrical Engineering, Information Systems, or a related field, as well as experience with Augmented/Virtual Reality technologies and computer vision enabling technologies. Candidates with experience in designing prototype devices using microcontrollers, sensors, FPGA, cameras, and IMUs, as well as familiarity with camera, flash/LEDs, and IMUs sensor drivers development, are highly desirable. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact disability-accommodations@qualcomm.com or Qualcomm's toll-free number. Qualcomm expects its employees to adhere to all applicable policies and procedures, including those related to the protection of confidential information. Please note that Qualcomm's Careers Site is intended for individuals seeking employment directly with Qualcomm, and submissions from staffing and recruiting agencies will not be accepted. For more information about this role, please contact Qualcomm Careers.,

As a Machine Learning Engineer specializing in Computer Vision, you will play a crucial role in designing, developing, and deploying cutting-edge computer vision models and algorithms for real-world robotic applications. Working alongside a talented team, you will utilize state-of-the-art deep learning techniques to solve complex vision problems ranging from object detection to image segmentation and 3D perception. Your contributions will directly influence the evolution of intelligent systems within the field of robotics. This position is based on-site in Pune and requires immediate availability for joining within one month. Qualifications: - Educational Background: B.Tech., B.S., or B.E. in CSE, EE, ECE, ME, Data Science, AI, or related fields with a minimum of 2 years of hands-on experience in Computer Vision and Machine Learning. Alternatively, an M.S. or M.Tech. in the same disciplines with 2 years of practical experience in Computer Vision and Python programming. - Technical Expertise: You should possess strong experience in developing deep learning models and algorithms for various computer vision tasks, including object detection, image classification, segmentation, and keypoint detection. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, or Keras is essential. Additionally, experience with OpenCV for image processing and computer vision pipelines is required. A solid understanding of convolutional neural networks (CNNs) and other vision-specific architectures such as YOLO, Mask R-CNN, and EfficientNet is expected. Ability to build, test, and deploy robust models using PyTest or PyUnit testing frameworks is necessary. Hands-on experience with data augmentation, transformation, and preprocessing techniques for visual data is also a key requirement. Familiarity with version control using Git is a plus. - Desirable Skills: Experience with 3D vision, stereo vision, or depth sensing technologies will be advantageous. Familiarity with ROS2 for integrating vision systems into robotic platforms, understanding of sensor fusion techniques (e.g., LiDAR, depth cameras, IMUs), exposure to MLOps for deploying and maintaining computer vision models in production environments, knowledge of CMake for building and integrating machine learning and vision-based solutions, experience with cloud-based solutions for computer vision, and ability to work with CUDA, GPU-accelerated libraries, and distributed computing environments are desirable skills. Location: This role is on-site in Pune, India, and immediate availability for joining is required. Why Join Us - Shape the future of robotics and AI by focusing on state-of-the-art computer vision applications. - Work in a dynamic and collaborative environment with a team of highly motivated engineers. - Competitive salary and benefits package, including performance-based incentives. - Opportunities for growth and professional development, including mentorship from industry experts. If you are passionate about leveraging deep learning and computer vision to develop intelligent systems that perceive and interact with the world, we look forward to hearing from you!,