14 days ago
Base Salary
$118k - $177k/yr
Responsibilities
- Develop AI/ML solutions integrating Qualcomm AI hardware, software, technologies, and ecosystem components.
- Design, develop, implement, and deploy generative AI and LLM applications.
- Implement fine-tuning and distillation techniques and optimize AI models and workloads for deployment.
- Research, design, simulate, develop, and validate system-level software, AI hardware, architectures, deep learning algorithms, and AI solutions.
- Benchmark AI models and perform functional and system-performance analysis to drive requirements and specifications.
- Develop deployment strategies that improve AI model and workload performance, power efficiency, and scalability.
- Define system requirements, interfaces, functional and performance characteristics, and implementations for new or modified systems.
- Collaborate across teams to implement and test features and verify AI system accuracy.
- Troubleshoot system-level issues, determine root causes, and present testing and debugging results.
- Track advances in AI/ML models, hardware, and software and develop innovative product and feature solutions.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field plus 2+ years of Systems Engineering or related experience; or a master's degree plus 1+ year; or a PhD in a related field.
- Strong proficiency in Python and ML frameworks including PyTorch and TensorFlow.
- Deep understanding of ML development, deployment, applications, system performance profiling, and parallel computing.
- Preferred: master's or PhD in Engineering, Information Systems, Computer Science, Physics, or a related field.
- Preferred: understanding of generative AI architectures including transformers, diffusion, hybrid architectures, LLMs, LVMs, and embeddings.
- Preferred: experience fine-tuning generative AI models, reinforcement learning, compiler optimization for ML workloads, and large-scale AI systems.
- Preferred: experience optimizing inference across CPUs, GPUs, and specialized accelerators, including caching, batching, and parallelization strategies.
- Preferred: familiarity with hardware acceleration, Git, Gerrit, GitHub, GitLab, Docker, Kubernetes, GitOps, MLOps, rack-level orchestration, and data center automation.
- Preferred: experience with open-source development practices, collaborative development workflows, and large matrixed organizations.
Benefits
- Annual discretionary bonus program and potential annual RSU grants are available in addition to base pay.
- Qualcomm offers a competitive benefits package supporting employees at work, at home, and at play.
- The posted U.S. base pay range is $117,800.00-$176,600.00 annually.
Tech Stack
Categories
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.