Senior Embedded Software Developer - Data Plane

General Motors; Markham; On-site; CAD 100,000 - 130,000; Full time

Job summary

General Motors is seeking a Senior Software Engineer to lead the development and optimization of embedded data systems. The ideal candidate will have expertise in C/C++ and a passion for open-source technologies. This role involves designing data processing pipelines, optimizing system performance, and collaborating with DevOps to ensure smooth operation. Join GM in revolutionizing the automotive industry towards a sustainable future.

Qualifications

• Strong background in software development, particularly with C/C++.
• Experience in building and managing data flows.
• Passion for open-source contributions and community engagement.

Responsibilities

• Design, implement, and maintain embedded data processing pipelines.
• Optimize performance for data planes ensuring high throughput and low latency.
• Collaborate with DevOps for deployment and maintain logging infrastructure.

Skills

C/C++

Data processing

Open-source technologies

DevOps collaboration

Tools

Azure

S3

Job description

Work Arrangement: This role is categorized as hybrid. The successful candidate is expected to report to the office at least three days per week.

At General Motors, we envision a future with zero crashes, zero emissions, and zero congestion. We are pioneering next-generation vehicle compute platforms, revolutionizing automotive software development, and integrating seamless cloud and edge connectivity. Join us in leading the way toward a sustainable and safe automotive future.

The Role

We seek a talented Senior Software Engineer with expertise in building data-intensive systems to develop, optimize, and maintain our embedded data plane infrastructure. The ideal candidate will have a strong background in software development (C/C++), a passion for open-source technologies, and experience in managing and scaling data flows.

Responsibilities

• Design, implement, and maintain embedded data processing pipelines using various technologies.
• Optimize the performance of our data plane for high throughput and low latency.
• Integrate embedded data collection with storage systems such as Azure, S3, and others.
• Develop custom plugins to support specific data processing needs.
• Collaborate with DevOps teams for deployment and operation of logging infrastructure.
• Monitor and troubleshoot data plane software to ensure reliability.
• Contribute to the open-source community through issue reporting, documentation, and patches.
• Assist in developing and integrating a control plane for managing large-scale distributed architecture.