Qualcomm

AI/ML Platform Architect - Engineer, Principal

Qualcomm
Apply
7 days ago
San Diego, CA, USAStaff+
H1B Sponsor

Base Salary

$201k - $301k/yr

Responsibilities

  • Analyze ML network design trends and determine their implications for hardware and software architecture.
  • Characterize AI and ML workloads through simulation and on-device analysis across Qualcomm hardware and software stacks.
  • Correlate on-device performance with pre-silicon predictions and tune algorithms for improved performance and power efficiency.
  • Analyze enterprise AI workflows and propose on-device Snapdragon AI PC components that complement enterprise cloud AI systems.
  • Collaborate with cross-functional teams to deliver performant reference implementations, tools, and documentation for third-party developers.
  • Develop and propose features and system designs for next-generation SoCs that reduce workflow performance bottlenecks.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field with 8+ years of relevant experience; or a master's degree with 7+ years; or a PhD with 6+ years.
  • 15+ years of experience in high-performance computing system engineering or software, including 5+ years in AI system optimization.
  • Strong understanding of AI frameworks such as TensorFlow and PyTorch, GPU/NPU programming, parallel computing, and complete software stacks.
  • Experience optimizing AI applications on Windows using processor-specific optimization tools, libraries, and primitives for GPUs and NPUs.
  • Strong background in end-to-end system performance analysis, profiling tools, and algorithmic performance improvement methods.
  • Knowledge of computer architecture, embedded system implementations, agentic AI, and AI domains including computer vision, audio, generative AI, and foundational models.
  • Strong software engineering principles and proficiency in Python and C++.
  • Strong communication, leadership, analytical, debugging, strategic thinking, and problem-solving abilities.
  • Master's or PhD in Computer Science or Electrical Engineering is listed as a preferred qualification.
  • Familiarity with software development methodologies, version control systems, and agile project management practices.

Benefits

  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Competitive benefits package supporting employees at work, at home, and at play.

Tech Stack

C++PythonPyTorchTensorFlowWindows
Qualcomm

About Qualcomm

10,000+ employees

Inspired by 250 years of American ingenuity, we build technologies that expand what’s possible. From wireless to AI at scale and 6G, our innovations power progress worldwide.

Contact me