Airflow Infrastructure & Automation Engineer – Silicon Design

Qualcomm-posted 3 months ago
$198,700 - $298,100/Yr
Full-time • Mid Level
Santa Clara, CA
5,001-10,000 employees
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We are building custom-designed, record-breaking CPU technology that powers the next generation of premium devices. Our Qualcomm Oryon™ CPU delivers ultimate performance and power efficiency, featured in Snapdragon® X Series, Snapdragon® 8 Elite, Snapdragon Ride™ Elite, and Snapdragon® Cockpit Series platforms. Built on a 64-bit architecture and the latest process technology, our CPUs enable best-in-class performance at low power, redefining what’s possible for high-performance computing. Our culture values technical excellence, innovation, and collaboration. We empower engineers to take ownership, solve complex challenges, and shape the future of computing. As an Airflow Engineer, you will design and maintain workflow orchestration systems that enable critical automation for our CPU development lifecycle. From silicon design verification to performance analysis, you’ll ensure that our pipelines are scalable, reliable, and efficient, supporting the engineering teams that deliver world-class CPU technology.

  • Develop and optimize Apache Airflow DAGs for CPU design, verification, and performance workflows.
  • Connect Airflow with EDA tools, simulation environments, and compute clusters.
  • Streamline repetitive engineering tasks and enable CI/CD for pipeline deployments.
  • Implement observability, alerting, and performance tuning for Airflow jobs.
  • Work closely with CPU architects, verification engineers, and DevOps teams to ensure seamless orchestration across the design ecosystem.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 6+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
  • OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 5+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
  • OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
  • Strong Python programming experience (Airflow DAGs, custom operators).
  • Hands-on experience with Apache Airflow in production.
  • Familiarity with EDA workflows, HPC clusters, or large-scale compute environments is a plus.
  • Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
  • SQL proficiency; exposure to big data tools (Spark, Hive) is a bonus.
  • Experience with Airflow on Kubernetes or managed Airflow solutions.
  • Familiarity with EDA tools (Synopsys, Cadence) or silicon design flows.
  • Knowledge of observability stacks (Prometheus, Grafana).
  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package designed to support success at work, at home, and at play.
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