**Company:** Qualcomm India Private Limited **Job Area:** Engineering Group, Engineering Group > Systems Engineering **General Summary:** As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. **Minimum Qualifications:** • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. **Principal Engineer – Machine Learning** We are looking for a Principal AI/ML Engineer with expertise in **model inference** , **optimization** , **debugging** , and **hardware acceleration** . This role will focus on building efficient AI inference systems, debugging deep learning models, optimizing AI workloads for low latency, and accelerating deployment across diverse hardware platforms. In addition to hands-on engineering, this role involves **cutting-edge research** in **efficient deep learning, model compression, quantization, and AI hardware-aware optimization techniques** . You will explore and implement **state-of-the-art AI acceleration methods** while collaborating with **researchers, industry experts, and open-source communities** to push the boundaries of AI performance. This is an exciting opportunity for someone passionate about **both applied AI development and AI research** , with a strong focus on **real-world deployment, model interpretability, and high-performance inference** . **Education & Experience:** + **20+ years** of experience in AI/ML development, with at least **5 years** in model inference, optimization, debugging, and Python-based AI deployment. + Master’s or Ph.D. in **Computer Science, Machine Learning, AI** **Leadership & Collaboration** + Lead a team of AI engineers in **Python-based AI inference development** . + Collaborate with **ML researchers, software engineers, and DevOps teams** to deploy optimized AI solutions. + Define and enforce **best practices for debugging and optimizing AI models** **Key Responsibilities** **Model Optimization & Quantization** + Optimize deep learning models using **quantization (INT8, INT4, mixed precision etc), pruning, and knowledge distillation** . + Implement **Post-Training Quantization (PTQ) and Quantization-Aware Training (QAT)** for deployment. + Familiarity with **TensorRT, ONNX Runtime, OpenVINO, TVM** **AI Hardware Acceleration & Deployment** + Optimize AI workloads for **Qualcomm Hexagon DSP, GPUs (CUDA, Tensor Cores), TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine** . + Leverage **Python APIs for hardware-specific acceleration** , including **cuDNN, XLA, MLIR** . + Benchmark models on **AI hardware architectures** and debug performance issues **AI Research & Innovation** + Conduct **state-of-the-art research** on **AI inference efficiency, model compression, low-bit precision, sparse computing, and algorithmic acceleration** . + Explore **new deep learning architectures (Sparse Transformers, Mixture of Experts, Flash Attention) for better inference performance** . + Contribute to **open-source AI projects** and publish findings in top-tier ML conferences (NeurIPS, ICML, CVPR). + Collaborate with **hardware vendors and AI research teams** to optimize deep learning models for next-gen AI accelerators. **Details of Expertise:** + Experience optimizing **LLMs, LVMs, LMMs** for inference + Experience with **deep learning frameworks** : TensorFlow, PyTorch, JAX, ONNX. + Advanced skills in **model quantization, pruning, and compression** . + Proficiency in **CUDA programming and Python GPU acceleration** using **cuPy, Numba, and TensorRT** . + Hands-on experience with **ML inference runtimes (TensorRT, TVM, ONNX Runtime, OpenVINO)** + Experience working with RunTimes Delegates (TFLite, ONNX, Qualcomm) + Strong expertise in **Python programming** , writing optimized and scalable AI code. + Experience with **debugging AI models** , including **examining computation graphs using Netron Viewer, TensorBoard, and ONNX Runtime Debugger** . + Strong debugging skills using **profiling tools (PyTorch Profiler, TensorFlow Profiler, cProfile, Nsight Systems, perf, Py-Spy)** . + Expertise in **cloud-based AI inference** (AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi). + Knowledge of **hardware-aware optimizations** (oneDNN, XLA, cuDNN, ROCm, MLIR, SparseML). + Contributions to **open-source community** + Publications in International forums / conferences / journals **Applicants** : 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 disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr\_public\_article\_view&sysparm\_article=KB0039028) . 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). Qualcomm 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. **To 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. If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) . EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification