Staff Engineer – Robust AI Infrastructure
Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Datavetenskap · Maskininlärning
I korthet
We are seeking a motivated Staff Engineer to drive next-generation GenAI platform development and robust AI infrastructure for the automotive software engineering team. This role focuses on leveraging GenAI frameworks and APIs to build scalable AI-powered tools, intelligent agentic workflows, and engineering assistants. The ideal candidate combines strong software engineering fundamentals with deep hands-on experience in GenAI application development and AI system integration.
Ansvarsområden
- Design and develop AI-powered engineering tools and intelligent assistants using GenAI frameworks and APIs.
- Build and extend GenAI-powered multi-agent applications for coding productivity, knowledge assistance, and task orchestration.
- Develop agentic workflows using LangChain/LangGraph and MCP services to interface AI tools with internal systems (Jira, Confluence, Gerrit, Orbit, Axiom).
- Integrate AI solutions with engineering systems like source repositories, CI/CD toolchains, and internal platforms.
- Rapidly prototype and evaluate emerging GenAI capabilities and deploy proof-of-concept solutions.
- Design and build scalable, reliable AI infrastructure for GenAI application development, deployment, and operation.
- Develop and maintain RAG pipelines, vector databases, and knowledge retrieval systems.
- Architect robust backend services and APIs exposing GenAI capabilities.
- Ensure high availability, observability, and maintainability of AI platform components (model serving, prompt management, inference pipelines).
- Contribute to platform security, data privacy, and responsible AI practices.
- Drive practical integration of GenAI capabilities into engineering workflows.
- Develop and optimize multi-agent architectures for engineering workflow orchestration and task automation.
- Build intelligent dashboards and smart reporting tools using AI-driven analytics.
- Collaborate with cross-functional teams to identify high-impact use cases and deliver innovative AI-powered solutions.
- Champion AI best practices, contribute to internal knowledge sharing, and mentor teammates.
Krav
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Software Engineering, or related field.
- 6+ years of experience in software engineering, with focus on AI/ML systems, platform development, or related technical domains.
- Strong programming skills in Python.
- Familiarity with C/C++ or similar languages.
- Hands-on experience with LLM integration, GenAI application development, and AI platform architecture.
- Strong problem-solving skills with the ability to design and implement practical, production-grade engineering solutions.
- Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Test Engineering or related work experience.
- 2+ years of work experience with Software Test or System Test, developing and automating test plans, and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).
Önskade kvalifikationer
- Experience with GenAI frameworks and APIs (e.g., LangChain, LangGraph, OpenAI API, or equivalent internal platforms).
- Experience with Model Context Protocol (MCP) services and multi-agent system design.
- Familiarity with RAG systems, vector databases (e.g., FAISS, Chroma), and knowledge retrieval pipelines.
- Experience integrating internal or third-party tools with Jira, Confluence, Git, and related engineering platforms.
- Experience with automotive software or embedded platform development.
- Experience in prototyping, evaluating, and scaling AI-enabled productivity solutions in engineering environments.
- Strong ownership and execution mindset.
- Deep understanding of GenAI platform engineering and AI-enabled development workflows.
- Excellent cross-functional collaboration and communication skills.
- Ability to balance technical depth, innovation, and practical delivery.
Förmåner
- Qualcomm is an equal opportunity employer.
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.
- Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
#GenAI#AI Infrastructure#LLM#Agentic Workflows#RAG#Python#Software Engineering#Automotive Software