Q

Qualcomm

Designs mobile chips and licenses wireless patents

Senior System Performance Engineer - Data Center/AI, PPT Systems Engineering

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

About the Job

Requirements

  • A Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field is preferred.
  • Four or more years of practical post-silicon experience in power and performance analysis of complex systems-on-chip is preferred.
  • Strong programming and scripting skills in Python and C/C++ are preferred.
  • Knowledge of modern artificial intelligence, machine learning, and large language model workloads and their performance characteristics is preferred.
  • Strong understanding of memory hierarchy, cache systems, and high-performance system interconnects is preferred.
  • Understanding of ARM system-on-chip concepts and architecture specifications such as SMMU, GIC, Coresight-PMU, and various bus interface protocols is preferred.
  • Understanding of industry-standard performance and power benchmarks, workload characterization, and system-level interactions is preferred.
  • Experience with system performance analysis methodologies, profiling techniques, and performance monitoring infrastructure is preferred.
  • Strong computer architecture and hardware fundamentals are preferred.
  • Understanding of software power-management frameworks, operating-system scheduling, and resource-management behavior is preferred.
  • Familiarity with distributed computing, artificial intelligence infrastructure, and datacenter system concepts is a plus.
  • Strong communication, collaboration, and problem-solving skills are preferred.
  • Ability to work independently on technical investigations is preferred.

Responsibilities

  • Enable, profile, and analyze complex artificial intelligence, machine learning, high-performance computing, and concurrent system workloads in emulation and software environments.
  • Execute performance and power analysis plans for workloads spanning compute, memory, storage, networking, accelerators, and concurrent system scenarios.
  • Identify performance, power, and efficiency optimization opportunities across system-on-chip hardware and software architectures.
  • Analyze and triage performance, power, and scalability issues, determine root causes, and communicate findings to stakeholders.
  • Collaborate with product management, hardware, software, and architecture teams to improve system performance and efficiency.
  • Evaluate emerging artificial intelligence, machine learning, and datacenter workloads to understand system behavior and identify optimization opportunities.
  • Provide technical guidance, reviews, and knowledge sharing to more junior engineers.
  • Prepare reports, technical documentation, and presentations to communicate findings and recommendations.
  • Develop automation, tooling, and analysis infrastructure to improve engineering productivity and streamline performance investigations.

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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