Nutanix
Principal Software Engineer LLM Serving (Cloud AI)
Nutanix, San Diego, California, United States, 92189
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. 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 EEO and Accommodations
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application hiring process, Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. 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. Salary is only one component of total compensation. We also offer a competitive annual discretionary bonus program and opportunity for RSU grants. Our benefits package is designed to support your success at work, at home, and at play. Your recruiter will discuss details; more information about US benefits is available via the provided link. #J-18808-Ljbffr
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. 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 EEO and Accommodations
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application hiring process, Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. 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. Salary is only one component of total compensation. We also offer a competitive annual discretionary bonus program and opportunity for RSU grants. Our benefits package is designed to support your success at work, at home, and at play. Your recruiter will discuss details; more information about US benefits is available via the provided link. #J-18808-Ljbffr