Qualcomm Cloud Software Architect large scale deployment 

India, Karnataka, Bengaluru 

413272941

Job Area:

Engineering Group, Engineering Group > Software Engineering

Deep learning is becoming ever more important for the drive stack. Our group is focused on creating big data pipelines to process Petabytes of data as systematic engineering of labeled data is required to unlock the full power of AI systems. Areas include data preparation, automated file selection (sampling, active learning), auto-labeling, automated review and quality assurance, data set quality measurement, and data set analysis (e.g., core set and edge case extraction).

We are looking for an experienced software engineer with 10+ years of experience to lead the definition, design and deployment of big data/ML pipelines systems. Responsibilities include high-level software architecture and design for the whole system, advancing and advocating for software quality as a means of maintaining long-term productivity, and coordinating development teams to ensure consistency and efficiency. Relevant technologies and skills include Kubernetes, Argo Workflows, Bazel, micro services architecture, Python and familiarity with modern C++. You will also be coordinating and collaborating with the cloud infrastructure and with product and research teams.

Minimum Skills:

· Proficiency in Python and familiarity with modern C++ · Experience with software architecture, micro services architecture, pipeline automation for large ML systems (cloud and/or on-premises)

· Excellent verbal and written communication skills capable of discussing, summarizing, and documenting large complex systems,

Preferred Skills:

· Proven track record of creating software systems that emphasize software quality

· Experience with both system level architecture and class level design

· Extensive experience in Kubernetes and Argo workflow

· Experience with Bazel build systems

· Automotive or robotics experience

· Extensive experience with different system architectural concepts like event driven architecture, workflows-based architecture, domain driven design

· Experience with available technologies in the space of distributed systems like OpenAPI, gRPC, GraphQL, websockets

Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 10+ years of Systems Engineering or related work experience.

Master's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.

PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Keywords: software architect, large AI system deployment, data pipelines, active learning, autonomous driving, containerized workloads, data ops

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