Staff Machine Learning Engineer Computer Vision - Madrid

## \nCompany:\n\nQualcomm Europe, Inc. Spain Branch Office\n\n## Job Area:\n\nEngineering Group, Engineering Group \u003e Machine Learning Engineering\n\nGeneral Summary:\n\nLocation: Madrid, Spain\n\nWe work at the very forefront of personalized AI\u2014secure, private, and reliable. \nOur team develops state\u2011of\u2011the\u2011art perception systems that run on Qualcomm XR chipsets deployed on millions of devices worldwide.\n\n## Job Description / Responsibilities\n\n * Stay current with state\u2011of\u2011the\u2011art research in Machine Perception (computer vision, machine learning, LLMs, world models, and related areas).\n\n * Research relevant papers and design, run, and evaluate experiments.\n\n * Define and drive perception performance KPIs (e.g., accuracy, latency, memory), including work on neural architecture search, quantization, and algorithmic improvements.\n\n * Partner with Product and Development teams to provide input on deploying ML models into production.\n\n * Collaborate with Hardware teams to provide technical feedback that informs future hardware decisions.\n\n\n\n\n## \n\n## Required Qualifications\n\n * 6+ years of relevant industry experience.\n\n * Strong background in computer vision and deep learning (e.g., detection, segmentation, tracking, 3D perception).\n\n * Excellent Python software engineering skills.\n\n * Expertise in PyTorch (or equivalent) and modern CV architectures (CNNs, Transformers).\n\n * Proven production ML experience, including training, evaluation, deployment, and monitoring of CV models.\n\n * Experience optimizing models for latency, memory, and quality, especially for edge or resource\u2011constrained systems.\n\n\n\n\n## \n\n## Preferred Qualifications\n\n * Solid C++ experience for performance\u2011critical components.\n\n * Experience with 3D vision and multi\u2011modal perception (depth, point clouds, sensor fusion).\n\n * Model and inference optimization experience (quantization, TensorRT, ONNX, edge deployment).\n\n * Familiarity with distributed training and MLOps (CI/CD, experiment tracking).\n\n * Domain experience in XR, robotics, or real\u2011time systems.\n\n\n\n\nMinimum Qualifications:\n\n\u2022 Bachelor\u0027s degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. \nOR \nMaster\u0027s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. \nOR \nPhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.\n\n*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.\n\nQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm\u0027s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\n\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\n\nTo all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.\n\nIf you would like more information about this role, please contact Qualcomm Careers.\n