General Summary:
Qualcomm is hiring multiple software engineers at Senior and Staff level to help architect and build its next generation data processing platform to support Autonomous Driving R&D efforts. Our goal is to design and build a highly scalable, efficient, and modular data platform. This platform will be used by engineers to run re-simulation pipelines, machine learning workloads, perform in-depth data analysis/analytics, visualize results, and more. Excellent communication and planning skills are critical in this role as we'll be working with internal teams and external partners.
Responsibilities for this position include:
Work with team leads to understand use cases and requirements
Build proof-of-concepts to validate proposed designs and provide feedback
Implement data management systems, data pipelines, and highly scalable distributed processing services used for autonomous driving research and development
Drive software engineering best practices within immediate and external teams
Support users of the platform
Minimum Qualifications:
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
Preferred Qualifications:
3 to 20 years of relevant experience in a software development role (or equivalent).
Industry experience in designing and implementing scalable solutions used for Autonomous Driving R&D applications.
Experience with building data pipelines and workflow management tools such as Airflow, Prefect, Argo or Cloud native technologies like AWS Batch, Azure Data factory.
Familiarity using a programming language such as Python, Go, C/C++, Java, or Scala
Hands-on experience using managed services from one or more of the major cloud vendors: AWS, GCP, Azure
Experience working with distributed processing frameworks such as Spark, Hadoop, Hive, or other Apache Foundation frameworks.
Understanding of RDBMS, NoSQL DB technologies, and data warehousing solutions and tradeoffs
Experience in Cloud technologies like S3, databases and so on.
Experience in designing, developing, testing, and deploying data integrations in the cloud.
Experience with containerized platforms like docker and Kubernetes
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email toaccommodationsupport
Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found herefor assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.
Qualcomm is an equal opportunity employer and supports workforce diversity.
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.
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If you would like more information about this role, please contact Qualcomm Careers.
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