Full-Time

Staff GenAI Evaluation Engineer

Qualcomm Research, Machine Learning Engineering

Confirmed live in the last 24 hours

Qualcomm

Qualcomm

10,001+ employees

Develops and licenses semiconductor technologies

Compensation Overview

$158.4k - $237.6k/yr

+ Bonus + RSU Grants

Senior

Company Historically Provides H1B Sponsorship

San Diego, CA, USA

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
LLM
Tensorflow
Neural Networks
Pytorch
Machine Learning
Requirements
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • Great at software development with excellent analytical, development, and debugging skills.
  • Strong understanding of Machine Learning fundamentals.
  • Understanding of generative AI and its usage in various application.
  • Experience with LLM, LVM, LMM models, and other NN architectures.
  • Proficiency in designing, implementing and training ML algorithms in high-level languages/frameworks (PyTorch and TensorFlow).
  • Excellent interpersonal, written, and oral communications skills.
Responsibilities
  • As GenAI evaluation engineer, work with world-class engineers at Qualcomm Research to evaluate ML software tools and algorithms to ensure they meet quality standards.
  • Learn the latest cutting-edge technologies in machine learning and new emerging applications and participate in each step of the development process and drive quality improvements.
  • Port AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU).
  • Collaborate with members of the software teams and plan a comprehensive evaluation approach.
  • Work with a small team of engineers to implement the evaluation strategy, deciding key performance metrics (KPIs), developing automation, and performing qualitative tests.
  • Develop a deep understanding of the ML algorithms developed in the project.
  • Apply tools and algorithms on wide variety of use cases, develop best practices, provide detailed analysis, extend research, and identify areas for further optimization.
Desired Qualifications
  • MS or PhD in Computer Science/Engineering.
  • 5+ years of proven experience in software development for GenAI, machine learning or high-performance computing with strong programming skills in Python and software design.
  • Familiarity with AI agent frameworks (like LangChain, LlamaIndex, Autogen).
  • Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT).
  • Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems.
  • Design and develop generalized AI solutions, including RAG systems, to enhance user capabilities with our AI accelerators.
  • Experience in Android/Linux or other embedded systems.

Qualcomm develops and commercializes advanced wireless technologies and semiconductor products. The company designs and manufactures integrated circuits that enhance connectivity and power management for various applications, including mobile devices, automotive systems, and Internet of Things (IoT) devices. Qualcomm generates revenue by selling these semiconductor products and licensing its extensive portfolio of patents. What sets Qualcomm apart from its competitors is its strong focus on innovation in wireless technology and its diverse client base across multiple industries. The company's goal is to drive the evolution of smart devices and networks, ensuring efficient performance and connectivity.

Company Size

10,001+

Company Stage

IPO

Headquarters

San Diego, California

Founded

1985

Simplify Jobs

Simplify's Take

What believers are saying

  • 5G technology expansion boosts Qualcomm's market share in telecommunications.
  • AI adoption in edge computing offers Qualcomm new development opportunities.
  • Electric and autonomous vehicles drive demand for Qualcomm's semiconductor solutions.

What critics are saying

  • Legal battles with Apple could harm Qualcomm's finances and reputation.
  • Fraud conviction of a former executive may affect investor confidence.
  • New Snapdragon chipsets face competition, risking Qualcomm's smartphone market share.

What makes Qualcomm unique

  • Qualcomm leads in wireless technology with a strong patent portfolio.
  • Snapdragon processors power a wide range of devices, from smartphones to PCs.
  • Qualcomm's AI and IoT solutions enhance connectivity and performance across industries.

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Benefits

Premium-free health coverage

Onsite health & fitness centers

Retirement programs

Disability & life insurance programs

Tuition reimbursement

Product discounts

Flexible time off

Parental leave

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