Qualcomm Jobs

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

• Qualcomm is hiring multiple software engineers at Senior alevel 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 containerized workloads, microservices, distributed messaging systems and highly scalable distributed processing services.

• Drive software engineering best practices within immediate and external teams

• Support users of the platform

• Collaborate in global cross functional team

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ 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.

• Industry experience in designing and implementing scalable solutions.

• Design, develop, and maintain scalable data architectures, databases, and data warehouses to support the organization's data needs.

• Implement and optimize ETL (Extract, Transform, Load) processes to efficiently and securely move data from various sources into data storage systems

• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform, including services like AWS Glue, Azure Data Factory, Data Bricks or Google BigQuery.

• Experience working with Hadoop, Hive, or other Apache Foundation frameworks.

• Strong in RDBMS, NoSQL DB technologies like Posgresql, mongodb etc

• Identify and implement data engineering best practices, tools, and frameworks to streamline data processing and improve overall efficiency

• Familiarity with data governance and security practices, including data privacy regulations (e.g., GDPR, CCPA)

• Strong in building transformation jobs using SPARK and understanding SPARK internals.

• Experience building reliable data processing pipelines in batch mode and realtime.

• Create and maintain robust data models, databases, and data visualization tools to facilitate data-driven decision-making processes

• Collaborate with cross-functional teams to define data requirements, identify key performance indicators (KPIs), and design appropriate data collection methodologies

• Familiarity using a programming language such as Python, Go, C/C++, Java. -> clean coding in these languages, code analysis tools. Strong concepts in Object oriented programming.

• Strong in building CI/CD pipelines on cloud.

• Experience in supporting applications post-production like debugging, documentation, support.

• Quick Learner and able to demonstrate POCs.

Good to have :

• Experience Autonomous Driving R&D applications would be added advantage.

• Experience in working on migration projects such as code migration, data migration etc.

• Experience working with spring boot framework

• Experience working on code builds such as Bazel.

Preferred Qualifications:

Years of Exp -> 3-6 yrs

Applicants : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

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 (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) 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.

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 (http://www.qualcomm.com/contact/corporate) .

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