Cloud Software Architect for large scale data processing pipelines (Automated Driving)

Key Skills

3D data processing, Aartificial intelligence, C++, Data Engineering, Data pipelines, Deep Learning, Design, GraphQL, Machine learning techniques, OpenAPI, Python Programming

Job Description

At Qualcomm, we are transforming the automotive industry with our Snapdragon Digital Chassis and building the next generation software defined vehicle (SDV). Snapdragon Ride is an integral pillar of our Snapdragon Digital Chassis, and since its launch it has gained momentum with a growing number of global automakers and Tier1 suppliers. Snapdragon Ride aims to address the complexity of autonomous driving and advanced driver assist systems (ADAS) by leveraging its high-performance, power-efficient SoC, industry-leading artificial intelligence (AI) technologies and pioneering vision and drive policy stack to deliver a comprehensive, cost and energy efficient systems solution.

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 15+ years of experience to lead the design and development 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, modern C++, and Python. You will also be coordinating and collaborating with the cloud infrastructure and with product and research teams.

Our teams are primarily in India, Sweden, Romania, Germany, and the US.

Minimum Qualifications:

• Proficiency in Python and modern C++ · Experience with software architecture, data 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,
• A bachelor’s degree in computer science, software engineering, computer engineering or electrical engineering and 15+ years of experience

Preferred Qualifications:

• 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

Minimum Qualifications:

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

OR

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

OR

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

Keywords: software architect, data engineering, data pipelines, active learning, autonomous driving, containerized workloads, data ops

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 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.