Principal SW Engineer - LLM Serving (Cloud AI)
Qualcomm · San Diego, United States · 8d ago
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
The Qualcomm Cloud AI team is developing software solutions for Inference Acceleration.
We are seeking an ambitious, bright and innovative engineer who has delivered commercial software and experience spanning design, compiler technology, performance modeling, and bottleneck analysis.
Job activities span the whole product life cycle from early R&D to commercial deployment. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must.
We are looking to staff engineers at multiple levels in systems & software, integration and test. Details of one of the roles we are looking to staff are listed below.
Backfill position
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ 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 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Ideal candidates for this position will demonstrate the following:
Proven ability of planning, managing and deliver large commercial software projects
Experience in serving frameworks, like vLLM
Strong development skills in PyTorch
Strong understanding of LLMs, Multi-modal and reasoning models
Experience in executing, analyzing, and optimizing neural networks
Experience in writing high performance software for multicore systems
Experience with C++, Python
Strong skills in analyzing performance of software/hardware solutions on multi-core architectures; understanding of multi-core architecture fundamentals (core, cache, memory, bus, PCIe, etc)
Understanding of multi-core processor architecture and SoC architectures (NoCs, caches, memories, etc.)
Experience with Performance modeling of SoC architectures
Excellent communication skills (written and verbal) and team player
Experience with machine learning accelerators and related software is highly desired
Background and understanding of neural network operators and mathematical operations: linear algebra, math libraries, desirable
Master's, Computer Engineering and/or Computer Networks & Systems and/or Computer Science
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Pay range and Other Compensation & Benefits:
$223,600.00 - $335,400.00The 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.