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.
Candidates for this position will demonstrate the following
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.
- OR
- 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.
- OR
- PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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Pay range and Other Compensation & Benefits
$194,400.00 - $291,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
