Qcom | Hiring | Staff Engineer – Data Platform – Autonomous Driving | San Diego, CA | BigDataKB.com | 30 Sept 2022

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Job Location: San Diego, CA

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:
Qualcomm is hiring Staff Software Engineers 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
  • Deploy, manage, and support large-scale infrastructure on the cloud and on-premise
  • Drive software engineering best practices within immediate and external teams
  • Support users of the platform
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:
  • MS or PHD in Computer Science, Electrical Engineering, Computer Engineering or related field
  • Industry experience designing and implementing scalable solutions used for Autonomous Driving R&D applications
  • Experience managing, deploying, and maintaining large-scale infrastructure on the cloud for “Big Data” applications
  • Familiarity with machine learning frameworks (e.g. Tensorflow, PyTorch)
  • Hands-on experience using Docker and Kubernetes
  • Experience using infrastructure and configuration management tools such as Terraform, Ansible, and Helm
  • Experience with workflow management tools such as Airflow, Prefect, etc.
Ideal Candidate will have:
  • 3-7 years of relevant experience in a software development role (or equivalent)
  • Backend development experience with a focus on data management, distributed systems, ML/AI, and high performance compute applications
  • 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 building RESTful web APIs and services
  • Proficiency with common software engineering tools, CI/CD, and version control systems such as git, GitLab CI/CD, Jenkins, Python virtual environments, etc.
  • Strong interpersonal skills and demonstrated ability to work with multi-functional teams
  • Excellent communication skills
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

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for 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.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: 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.
If you would like more information about this role, please contact

Qualcomm Careers

.

Apply Here

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