AI Performance Engineer

AI Performance Engineer (Cloud AI Engineering) – Senior – Staff – Senior Staff role at Qualcomm. Engineering Group, Machine Learning Engineering. Job Summary Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration. Responsibilities Convert, optimize and deploy models for efficient inference using PyTorch, ONNX. Work at the forefront of GenAI by understanding advanced algorithms e.g. attention mechanisms, MoEs and numerics to identify new optimization opportunities. Performance analysis and optimization of LLM, VLM, and diffusion models for inference. Scale performance for throughput and latency constraints. Mapping the next generation AI workloads on top of current and future hardware designs. Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams. Analyze complex performance or stability issues to work towards final root cause of underlying problems. Create engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time. Design and implement high-level kernels, e.g. in Triton, with a focus on generating efficient, low-level code. Qualifications Hands-on experience in building and optimizing language models, notably in PyTorch, ONNX, preferably in production-grade environments. Deep understanding of transformer architectures, attention mechanisms and performance trade-offs. Experience in workload mapping strategies exhibiting sharding or various parallelisms. Strong Python programming skills. Proactive learning about the latest inference optimization techniques. Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems. Strong communication, problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative environment. MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering. Bonus Skills Background in neural network operators and mathematical operations, including linear algebra and math libraries. Understanding of machine learning compilers. Experience in converging accuracy and its evaluation methods. Knowledge of torch.compile or torchDynamo. PhD in Computer Science, Computer Engineering or Machine Learning. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Pay Range And Other Compensation & Benefits $178,400.00 - $267,600.00Qualcomm offers competitive annual discretionary bonus program and RSU grants. Contact Qualcomm Careers for more details. Equal Opportunity and Accessibility Statement 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. Contact disability-accomodations@qualcomm.com or call Qualcomm's toll‑free number for reasonable accommodations. 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. #J-18808-Ljbffr