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Job Information

Qualcomm System Performance Modeling Engineer in San Diego, California

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > ASICS Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives communication and data processing transformation to help create a smarter, connected future for all.

The infrastructure IP Team consists of a multi-disciplinary group involved in the definition and design of Platform infrastructure HW components such as Interconnect (NOC), System Cache, Memory controllers and System MMU that are implemented in all Qualcomm SoCs. This position primarily involves studying System Performance using cycle-accurate/approximate models and support both Infra IP level u-architecture optimizations as well as System level application performance verification. The ideal candidate should demonstrate the ability to understand the HW u-architecture of the Infrastructure components involved, in particular the memory system and interconnect, identify performance bottlenecks; define experiments and conduct data-driven performance analyses and debug using simulation; Ability to partner effectively with IP designers, Design Verification teams and System performance architects.

This is a challenging position, working on most innovative technologies, surrounded by experts but also by users of our technology all over the world.

You will contribute to evaluate performance of future envisioned hardware architectures and providing key data points to decision makers. You will participate to develop a key architecture modeling platform and support its continuous improvement.

Responsibilities

In your role, you will:

  • Participate in architecture exploration campaigns working closely with key architects from various teams. Analyze complex dataset to identify insights and patterns that will help define the requirements for next-generation SoCs

  • Support on exploratory methodology projects, involving machine learning, data science, etc.

  • Expand, maintain and document innovative modeling frameworks. Participate in defining a new hardware modeling semantic, breaking up with conventional hardware programing languages.

Skills/Experience

  • Robust understanding of computer architecture and memory hierarchy

  • Strong knowledge of Object Oriented Programming (C++, Python)

  • Interest for programming paradigms

  • Knowledge in bus components micro-architecture

  • Understanding of performance/power/area tradeoff.

  • Ability to quickly react and adapt to changes.

  • Excellent communication skills.

Requirements

  • Degree in Microelectronics, Computer Science, or related field.

  • Preferably 2-5 years of solid experience in SoC modeling and/or software development, new graduated will be considered upon strong internships & motivation.

  • Understanding of interconnect protocols like AHB/AXI/ACE/ACE-Lite/NoC concepts.

  • Experience in Data Science, Machine Learning

Preferred Qualifications

  • Master’s or PhD degree in Microelectronics, Computer Science, or related field.

  • Strong Mathematical background

  • Knowledge in network traffic engineering

  • Knowledge of Memory Controller, LPDDR & DDR protocols

  • Experience with performance verification and driving microarchitecture investigations on blocks like memory controller, CPU, GPU, NoC and multi-media is a plus

Minimum Qualifications:

• Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.

OR

Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.

OR

PhD in Science, Engineering, or related field.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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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 confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range:

$108,000.00 - $162,000.00

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!

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

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

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