Qualcomm

Company:

Arriver System Software S.R.L.

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

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 executing 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, 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 hands-on Senior Software Engineer to oversee the execution and maintenance of Stack Based Review activities. The ideal candidate will have experience in Python, Linux, Docker, Elastic stack, databases (SQL/NoSQL), AWS and workflow management systems. Responsibilities include execution of our automated review pipeline, coordinating the team to ensure consistency and efficiency. You will also be coordinating and collaborating with the infrastructure and with product and research teams.

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

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.

Responsibilities:

• Lead the execution and maintenance of stack-based review pipelines.
• Coordinate with teams responsible for executing the pipeline to ensure consistency and efficiency.
• Oversee quality assurance review activities to maintain high standards.
• Provide feedback to annotation suppliers to improve the quality of labeled data.
• Collaborate with auto-labeling teams to enhance automated labeling processes.
• Optimize the software system’s performance, scalability, and costs, considering factors such as resource utilization, throughput requirements, and data movement.
• Provide technical guidance and mentorship to junior team members

What we are looking for:

• Proven track record of maintaining and integrating software systems that emphasize software quality
• Strong problem-solving skills and the ability to troubleshoot complex technical issues.
• Good programming skills in Python
• Familiarity with database (SQL/NoSQL) concepts
• Experience with Elastic stack
• Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitHub, ArgoCD).
• Familiarity with containerization technologies such as Docker and orchestration tools.
• Experience with AWS services, logging and monitoring tools.
• Excellent communication and collaboration skills to work effectively within a cross-functional team.
• You must be a self-starter and be able to work autonomously and take initiative
• Be a curios and lean team player willing to grow and share knowledge

We would love to see:

• Proven track record of creating software systems that emphasize software quality
• Experience with Data Platforms for Automated Driving.
• Familiarity with data storage and retrieval systems.

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