Principal SW Engineer - LLM Serving (Cloud AI)

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General 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.
• 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.
• 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 delivering 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

EEO Employer

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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of company confidential information and other proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits

$200,800.00 - $301,200.00

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 the link provided.

Contact

For more information about this role, please contact Qualcomm Careers.

To apply, send resume or email View email address on click.appcast.io or call Qualcomm's toll‑free number found on the careers site.

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