Sr. Engineer - Data Platform - Autonomous Driving

San Diego, CA, United States

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > ADAS R&D Software

General Summary

Qualcomm is hiring multiple software engineers from new grad to 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.

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 1+ year of Software Engineering or related work experience.

OR

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.

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

Level Of Responsibility

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

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 here 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.

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

$114,500.00 - $171,500.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer!

If you would like more information about this role, please contact Qualcomm Careers.

3050233

#J-18808-Ljbffr