Q

Qualcomm

Designs mobile chips and licenses wireless patents

GPU Power Analysis Engineer - GPU ASICS Engineering

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • Understanding of GPU and/or system-on-chip architecture and common system-on-chip hardware blocks, including displays, central processing units, and buses.
  • Understanding of power concepts at the microarchitecture and system architecture levels.
  • Strong knowledge of Python or another programming language.
  • Analytical and problem-solving skills.
  • Fluency in using current artificial intelligence tools for coding and debugging system-level problems.
  • A bachelor's degree and 4+ years of relevant work experience, or a master's degree and 3+ years of relevant work experience, or a PhD and 2+ years of relevant work experience. Relevant experience may be in software engineering, hardware engineering, systems engineering, or related work.
  • Understanding of power concepts, system-level architecture, and microarchitecture details; ability to analyze performance and power from silicon measurements; understanding of system-on-chip components such as the CPU, GPU, DDR, and path-to-DDR; and a strong programming background.

Responsibilities

  • Contribute to performance and power-efficiency analysis and modeling at the GPU and system levels for graphics and artificial-intelligence workloads, such as benchmarks and games, using software, hardware, and architectural parameters to identify opportunities to improve performance per watt.
  • Work with the broader modeling team to establish a scalable methodology for power projections for next-generation GPU and system-on-chip sizing.
  • Contribute to competitive performance and power analysis for popular benchmarks and games, identifying or explaining gaps with reasonable evidence that could lead to next-generation architecture, hardware, or software improvements.
  • Develop tools for efficient, streamlined, and scalable debugging and validation tasks.
  • Contribute to improving next-generation models by providing post-silicon learning.

Desired Qualifications

  • A master's degree or PhD.
  • Three to five years of relevant experience.
  • System-on-chip-level and product-level power analysis experience.
  • Knowledge of graphics application programming interfaces.
  • Knowledge and experience working with signal-processing techniques.
  • Experience in competitive performance and power analysis for CPU- or GPU-centric use cases.
  • Post-silicon debugging experience.

About the Company

Qualcomm

Designs mobile chips and licenses wireless patents

Qualcomm designs the Snapdragon processors and modems inside many Android phones, and it licenses its wireless patents to device makers around the world. It helped commercialize CDMA, the cellular technology behind 3G networks, and its patents cover core parts of the 4G and 5G standards that phones use to connect. The company does not run its own chip factories; contract foundries make its chips, which it sells to makers of phones, PCs, cars, and connected devices. Device makers also pay Qualcomm royalties for using its patented technology, which forms a second business alongside chip sales. Qualcomm was founded in 1985 and is based in San Diego, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1985

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