## nCompany:nnQualcomm India Private Limitednn## Job Area:nnEngineering Group, Engineering Group u003e Hardware EngineeringnnGeneral Summary:nnWe are seeking a Senior AI Compute Engineer to develop, optimize, and scale compute infrastructure for training and deploying ML and GenAI workloads. This role focuses on GPU acceleration, distributed training frameworks, and highu2011performance compute systemsnnMinimum Qualifications:nnu2022 Bacheloru0027s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. nOR nMasteru0027s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. nOR nPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.nnKey Responsibilitiesnn * Design and optimize GPUu2011accelerated training pipelines for ML and LLM workloads.nn * Implement distributed training strategies using frameworks like PyTorch Distributed or DeepSpeed.nn * Work with HPC clusters, multiu2011GPU systems, and parallel computing architectures.nn * Profile, optimize, and troubleshoot compute performance bottlenecks.nn * Collaborate with ML and platform teams to integrate scalable compute solutions.nn * Develop tools for monitoring, scheduling, and managing largeu2011scale training jobs.nn * Optimize CUDA kernels, memory usage, and compute flows where needed.nnnnnMinimum Qualifications:nn * Bacheloru2019s or Masteru2019s in Computer Science, Computational Engineering,



or similar.nn * Robust expertise in GPU computing, CUDA, or parallel processing.nn * 3u20138 years of experience working with ML model training environments.nn * Handsu2011on experience with distributed training frameworks.nn * Solid understanding of computer architecture and performance optimization.nn * Strong analytical and problem-solving skills.nn * Hands-on experience with supervised and unsupervised learning techniques (e.g., classification, clustering, dimensionality reduction).nn * Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorchnnnnnPreferred Qualifications:nn * Experience with multiu2011node training, HPC clusters, or cloud GPU environments.nn * Experience in large Model Development u0026 Training from the Scratch.nn * Familiarity with model parallelism, pipeline parallelism, or largeu2011scale DL training.nn * Experience with deep neural network architectures including RNNs, and Transformers.nn * GenAI, LLMs, RAG Optimization. LLM Finetuning, Distillation Experience.nnnnnApplicants: Qualcomm 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 Qualcommu0027s 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).nnQualcomm 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.nnTo 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.nnIf you would like more information about this role, please contact Qualcomm Careers.n

📌 Senior AI Compute Engineer HPC, GPUs & Distributed Training (Bengaluru)
🏢 Important Company of the Sector
📍 Bengaluru