Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

As an Engineer, you will be a hands-on contributor towards building a highly scalable, efficient, and modular data platform to support Autonomous Driving R&D efforts.

The candidate should have high proficiency in Python and experience in building solutions on cloud platforms such as AWS. The candidate will partner across data engineering, product, and safety domains to deliver scalable, secure, and cost-efficient solutions.

Key Responsibilities

· Implement containerized workloads, microservices and highly scalable distributed processing services

· Leverage data and metrics to continuously improve platform user and customer experience

· Leverage AI and ML to enhance platform features and reduce user friction

· Write clean, well-tested, and well-documented code. Participate in code reviews and uphold development best practices.

· Implement Infrastructure as Code (CloudFormation, Terraform or CDK) and CI/CD to ensure repeatable, reliable deployments.

· Build observability (logging, metrics, tracing) and drive performance/cost optimization across services.

· Collaborate within a cross-functional, international team and contribute to agile planning and delivery

• High proficiency in programming using PythonHands-on expertise with AWS services such as S3, Lambda, API Gateway, Step Functions, ECS/EKS, DynamoDB/RDS, IAM, and CloudWatch
• Proficiency with Docker and Kubernetes
• Strong grounding in software engineering practices, including Git, unit and integration testing, code reviews, and CI/CD (e.g., GitHub Actions, AWS Code Build / Code Pipeline).
• Demonstrated problem-solving, debugging, optimization, and performance tuning skills.

Minimum Qualifications:

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

· Strong communication and collaboration skills to work effectively within global, cross-functional teams

· Exposure to running ML experiments or inference tasks on AWS (e.g., using SageMaker), with a willingness to learn best practices for cloud-based ML

· Awareness of agentic AI systems and approaches (such as autonomous agents and LLM orchestration frameworks) and interest in applying these to real-world scenarios

· Proficiency in Java

· Proficiency with data engineering concepts: ETL/ELT, data modeling, and working with both SQL and NoSQL databases.

· Familiarity with big-data tools (Spark, Hive, Presto) for data processing and analytics, or a strong interest in developing these skills.

· Background in ADAS/Autonomous Driving data processing and testing (nice to have)

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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.

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.

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