Gen AI Transformation Engineer

Qualcomm
San Diego, CA, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$160,000.0 - $210,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Static Program Analysis Code Generation Computer Programming Continuous Integration Information Engineering DevOps Embedded Software
+11 more
Firmware Monitoring of Systems Python (Programming Language) Machine Learning Software Architecture Systems Integration Value Engineering Large Language Models AI Platforms Machine Learning Operations Grpc

Job description

Qualcomm seeks a Gen AI Transformation Engineer to accelerate embedded software and engineering productivity for next gen wireless and media platforms. You will design and deploy GenAI solutions across firmware, embedded OS, and toolchains to automate workflows, optimize code, and enhance developer experience. Partner with software, silicon, and DevOps teams to integrate AI copilots, code analysis, and test generation into existing pipelines. Evaluate models, build scalable inference services, measure impact on productivity, and drive best practices for secure, compliant AI adoption in a fast paced, innovation driven environment., * Design and implement Gen

  • AI solutions to enhance embedded software development and engineering productivity
  • Integrate AI copilots, code generation, and static analysis tools into existing CI/CD and development workflows
  • Collaborate with embedded, firmware, tools, and Dev
  • Ops teams to identify and automate high value engineering use cases
  • Build and maintain scalable Gen
  • AI services and APIs optimized for Qualcomm hardware and software stacks
  • Evaluate and fine tune large language models and domain specific models for code and documentation tasks
  • Develop metrics and dashboards to measure productivity, quality, and performance impact of AI solutions
  • Ensure AI systems follow security, privacy, and responsible AI guidelines and Qualcomm standards
  • Create technical documentation, best practices, and internal training for AI augmented engineering workflows

Requirements

  • Embedded software development
  • C/C++ programming
  • Python programming
  • Machine learning and Gen
  • AI (LLMs)
  • Model integration and APIs (REST/GRPC)
  • CI/CD pipelines and Dev
  • Ops tooling
  • Cloud platforms (AWS, Azure, or GCP)
  • MLOps and model monitoring
  • Software architecture and design
  • Data engineering and feature pipelines

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