Qualcomm
Senior Machine Learning Performance Architect
Qualcomm, San Diego, California, United States, 92189
Senior Machine Learning Performance Architect
Qualcomm Technologies, Inc. is seeking a Performance Architecture Engineer to drive performance and power enhancements into the hardware and software stacks of state-of-the-art machine learning solutions. The Performance Architecture team covers performance modeling, algorithm development, kernel optimization, hardware accelerator architecture and SOC design. The ideal candidate will contribute to one or many of these areas.
Overview
Today, more intelligence is moving to end devices, and mobile is becoming a pervasive AI platform. Qualcomm envisions making AI ubiquitous — expanding beyond mobile to power other end devices, data centers, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, data center and 5G to make this a reality.
Responsibilities
Develop and enhance performance models predicting performance and power consumption for various AI workloads
Analyze ML/AI algorithms and workloads on Qualcomm hardware and software stacks through simulation and on-device characterization
Define, model and tune algorithms for ML/AI compilers, kernels and hardware features to improve mappings of ML/AI workloads on existing and future hardware
Contribute new and evolutionary features to models of hardware and software
Pre-silicon prediction of performance for various ML algorithms
Analyze performance/area/power trade-offs for future hardware and software ML algorithms including memory and bus impacts
On-device correlation and tuning of algorithm versus pre-silicon predictions
Implement software algorithms for mapping ML/AI workloads on Qualcomm hardware
Collaborate with cross-site and cross-functional teams to achieve best-in-class algorithms
Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware/Software/Systems Engineering or related work experience
OR Master’s degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware/Software/Systems Engineering or related work experience
OR PhD in Computer Science, Engineering, Information Systems, or related field
Minimum Requirements
Master's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
2+ years Hardware Engineering, Systems Engineering, or related work experience
Preferred Skills And Experience
Ability to code in Python
Proficiency in Excel including VBA scripting
Experience modeling hardware and workloads to extract performance and power estimates
Architectural-level hardware modeling experience (preferred)
Strong background in algorithm development and analysis
Strong software engineering principles
Strong communication skills (written and verbal)
Detail-oriented with strong problem-solving, analytical and debugging skills
Ability to learn and adapt in a fast-changing environment
Exposure to front-end ML frameworks (TensorFlow, PyTorch, ONNX)
Experience in compiler design and development is an asset
Knowledge of ML model classes (e.g., LLM, CNN, etc.)
Knowledge of computer architecture, digital circuits and hardware simulators
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 email disability-accommodations@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.
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.
Pay Range And Other Compensation & Benefits
$126,700.00 - $217,900.00
The pay scale reflects broad minimum to maximum for this job code and location. Salary is one component of total compensation, which includes an annual discretionary bonus program and potential RSU grants. Our benefits package supports success at work and at home. Your recruiter can discuss details. For more information about our US benefits, view the provided link.
To all Staffing and Recruiting Agencies: Our Careers Site is for individuals seeking a job at Qualcomm. Staffing and recruiting agency submissions are not accepted. Qualcomm does not accept unsolicited resumes.
Seniority level: Not Applicable • Employment type: Full-time • Job function: Other • Industry: Telecommunications
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Overview
Today, more intelligence is moving to end devices, and mobile is becoming a pervasive AI platform. Qualcomm envisions making AI ubiquitous — expanding beyond mobile to power other end devices, data centers, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, data center and 5G to make this a reality.
Responsibilities
Develop and enhance performance models predicting performance and power consumption for various AI workloads
Analyze ML/AI algorithms and workloads on Qualcomm hardware and software stacks through simulation and on-device characterization
Define, model and tune algorithms for ML/AI compilers, kernels and hardware features to improve mappings of ML/AI workloads on existing and future hardware
Contribute new and evolutionary features to models of hardware and software
Pre-silicon prediction of performance for various ML algorithms
Analyze performance/area/power trade-offs for future hardware and software ML algorithms including memory and bus impacts
On-device correlation and tuning of algorithm versus pre-silicon predictions
Implement software algorithms for mapping ML/AI workloads on Qualcomm hardware
Collaborate with cross-site and cross-functional teams to achieve best-in-class algorithms
Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware/Software/Systems Engineering or related work experience
OR Master’s degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware/Software/Systems Engineering or related work experience
OR PhD in Computer Science, Engineering, Information Systems, or related field
Minimum Requirements
Master's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
2+ years Hardware Engineering, Systems Engineering, or related work experience
Preferred Skills And Experience
Ability to code in Python
Proficiency in Excel including VBA scripting
Experience modeling hardware and workloads to extract performance and power estimates
Architectural-level hardware modeling experience (preferred)
Strong background in algorithm development and analysis
Strong software engineering principles
Strong communication skills (written and verbal)
Detail-oriented with strong problem-solving, analytical and debugging skills
Ability to learn and adapt in a fast-changing environment
Exposure to front-end ML frameworks (TensorFlow, PyTorch, ONNX)
Experience in compiler design and development is an asset
Knowledge of ML model classes (e.g., LLM, CNN, etc.)
Knowledge of computer architecture, digital circuits and hardware simulators
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 email disability-accommodations@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.
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.
Pay Range And Other Compensation & Benefits
$126,700.00 - $217,900.00
The pay scale reflects broad minimum to maximum for this job code and location. Salary is one component of total compensation, which includes an annual discretionary bonus program and potential RSU grants. Our benefits package supports success at work and at home. Your recruiter can discuss details. For more information about our US benefits, view the provided link.
To all Staffing and Recruiting Agencies: Our Careers Site is for individuals seeking a job at Qualcomm. Staffing and recruiting agency submissions are not accepted. Qualcomm does not accept unsolicited resumes.
Seniority level: Not Applicable • Employment type: Full-time • Job function: Other • Industry: Telecommunications
#J-18808-Ljbffr