Qualcomm
Airflow Infrastructure & Automation Engineer – Silicon Design
Qualcomm, Santa Clara, California, United States, 95053
Company:
Qualcomm Technologies, Inc. Job Area:
Engineering Group, Engineering Group > CPU Engineering About Us
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. Role Overview
As an
Airflow Infrastructure & Automation Engineer , you will
design, scale, and maintain Apache Airflow 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
highly available, secure, and optimized for large-scale compute environments , supporting the engineering teams that deliver world-class CPU technology. What You’ll Do
Manage Multi-Instance Airflow Deployments:
Bring up and manage
multiple Apache Airflow instances across different data centers , ensuring high availability, security, and performance. Custom Development:
Develop
custom Airflow DAGs, operators, providers, and plugins
to meet specialized workflow requirements. Build & Maintain:
Design, optimize, and scale
Airflow infrastructure and pipelines
for CPU design, verification, and performance workflows. Platform Engineering:
Deploy and manage Airflow on
Kubernetes or other distributed environments
for scalability and fault tolerance. Integrate:
Connect Airflow with
EDA tools, simulation environments, and HPC clusters . Automate:
Streamline repetitive engineering tasks and enable
CI/CD for pipeline deployments . Collaborate:
Work closely with
CPU architects, verification engineers, and DevOps teams
to ensure seamless orchestration across the design ecosystem. What We’re Looking For
Technical Skills:
Strong Python programming skills . Experience managing multiple Apache Airflow instances in production . Experience developing workflows, pipelines, and DAGs with Apache Airflow , including scaling and performance tuning. Familiarity with
Kubernetes , containerization (Docker), and distributed systems. Knowledge of
cloud platforms
(AWS/GCP/Azure) and infrastructure-as-code tools (Terraform, Helm). DevOps experience , including CI/CD pipeline design and automation. Experience managing
GitHub repositories
and implementing
GitHub Actions
for CI/CD workflows. SQL proficiency
for data integration and workflow orchestration. Experience with
FastAPI
for building APIs and
React
for front-end integration. Familiarity with
EDA workflows, HPC clusters , or large-scale compute environments is a plus. Nice-to-Have
Experience with
Airflow on Kubernetes
or managed Airflow solutions (MWAA, GCP Composer). Familiarity with
EDA tools
(Synopsys, Cadence) or silicon design flows. Knowledge of
security best practices
for workflow orchestration systems. Why Join Us?
Impact:
Your work will accelerate the development of industry-leading CPUs that power premium devices worldwide. Culture:
We value technical depth, autonomy, and innovation. Growth:
Opportunities to expand into
platform engineering, EDA automation, or compute infrastructure . Minimum Qualifications:
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. 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. 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. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits:
$198,700.00 - $298,100.00 Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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Qualcomm Technologies, Inc. Job Area:
Engineering Group, Engineering Group > CPU Engineering About Us
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. Role Overview
As an
Airflow Infrastructure & Automation Engineer , you will
design, scale, and maintain Apache Airflow 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
highly available, secure, and optimized for large-scale compute environments , supporting the engineering teams that deliver world-class CPU technology. What You’ll Do
Manage Multi-Instance Airflow Deployments:
Bring up and manage
multiple Apache Airflow instances across different data centers , ensuring high availability, security, and performance. Custom Development:
Develop
custom Airflow DAGs, operators, providers, and plugins
to meet specialized workflow requirements. Build & Maintain:
Design, optimize, and scale
Airflow infrastructure and pipelines
for CPU design, verification, and performance workflows. Platform Engineering:
Deploy and manage Airflow on
Kubernetes or other distributed environments
for scalability and fault tolerance. Integrate:
Connect Airflow with
EDA tools, simulation environments, and HPC clusters . Automate:
Streamline repetitive engineering tasks and enable
CI/CD for pipeline deployments . Collaborate:
Work closely with
CPU architects, verification engineers, and DevOps teams
to ensure seamless orchestration across the design ecosystem. What We’re Looking For
Technical Skills:
Strong Python programming skills . Experience managing multiple Apache Airflow instances in production . Experience developing workflows, pipelines, and DAGs with Apache Airflow , including scaling and performance tuning. Familiarity with
Kubernetes , containerization (Docker), and distributed systems. Knowledge of
cloud platforms
(AWS/GCP/Azure) and infrastructure-as-code tools (Terraform, Helm). DevOps experience , including CI/CD pipeline design and automation. Experience managing
GitHub repositories
and implementing
GitHub Actions
for CI/CD workflows. SQL proficiency
for data integration and workflow orchestration. Experience with
FastAPI
for building APIs and
React
for front-end integration. Familiarity with
EDA workflows, HPC clusters , or large-scale compute environments is a plus. Nice-to-Have
Experience with
Airflow on Kubernetes
or managed Airflow solutions (MWAA, GCP Composer). Familiarity with
EDA tools
(Synopsys, Cadence) or silicon design flows. Knowledge of
security best practices
for workflow orchestration systems. Why Join Us?
Impact:
Your work will accelerate the development of industry-leading CPUs that power premium devices worldwide. Culture:
We value technical depth, autonomy, and innovation. Growth:
Opportunities to expand into
platform engineering, EDA automation, or compute infrastructure . Minimum Qualifications:
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. 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. 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. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits:
$198,700.00 - $298,100.00 Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
#J-18808-Ljbffr