1 day ago
Base Salary
$141k - $211k/yr
Responsibilities
- Conduct applied and fundamental machine learning research in model efficiency, generative AI, reasoning, reinforcement learning, and other areas.
- Develop model compression, sparsity, quantization, and model-implementation optimization methods for balancing memory, speed, and power.
- Create and train state-of-the-art machine learning models for computer vision, audio, speech, NLP, video, wireless, graphics, chip design, and other use cases.
- Research and develop machine learning frameworks and compilers for hardware accelerators and edge devices.
- Design, implement, and test deep learning and reinforcement learning algorithms and complex training and evaluation pipelines.
- Research on-device learning, federated learning, edge-cloud systems, heterogeneous computing, and other advanced machine learning computing paradigms.
- Publish and help transition research and industry state-of-the-art methods into deployed Qualcomm technologies.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field and 2+ years of relevant engineering experience; or a master's degree and 1+ year of relevant experience; or a PhD in a related field.
- PhD in AI, Computer Science, Engineering, Information Systems, or a related field, or a master's degree with 4+ years of machine learning research or related experience.
- Strong computer science and deep learning fundamentals.
- Strong programming skills in Python and PyTorch, including complex training and evaluation pipelines.
- Exceptional analytical, development, debugging, and problem-solving skills.
- Experience with LLM, LVM, LMM, and other neural network architectures.
- Experience with machine learning accelerators, hardware acceleration, and heterogeneous or parallel computing systems.
- Experience designing generalized AI solutions, including retrieval and agentic systems, and conducting LLM reasoning or inference acceleration research.
- Experience with on-device AI model production or mobile and edge device environments.
- Experience as a first author on publications at major AI conferences such as NeurIPS, ICML, or ICLR.
- Excellent interpersonal, written, and oral communication skills.
Benefits
- Annual pay range of $140,800.00-$211,200.00, plus a discretionary bonus program and potential annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- Qualcomm is an equal opportunity employer and provides reasonable workplace accommodations.
Categories
AI ResearchML Engineering
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.