מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Job Area:
Engineering Group, Engineering Group > Software Engineering
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
Support users of the platform
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
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
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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