Staff Embedded Software Engineer

General Motors; Austin (TX); On-site; USD 160,000 - 210,000; Full time

Job summary

General Motors is seeking a Staff Embedded Software Engineer to lead design and optimization of distributed control and data planes across a fleet of vehicles. You will work on on‑board ECUs, cloud integration, and data pipelines, balancing performance with reliability in real‑world connectivity conditions.

You will mentor peers, contribute to open‑source projects, and steer large‑scale coordination initiatives while collaborating with DevOps and Cloud teams to safely deploy updates across

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proficiency in programming languages such as C, C++, and other related languages (8+ years of hands‑on development experience).
• Experienced developing software for Linux, Android, and QNX platforms.
• Solid understanding of distributed systems, configuration management, and large‑scale data pipelines.
• Experience designing, developing, or operating a control plane, fleet management system, or other large‑scale distributed coordination service.
• Familiarity with vehicle communication protocols (UDS, CAN, SOME/IP, XCP).
• Familiarity with Autosar standards.
• Experience in leading complex cross‑organizational initiatives.
• Expert in software development and optimization.
• Strong problem‑solving skills and the ability to troubleshoot complex issues in production environments.
• Excellent communication skills and the ability to work effectively in a team environment.
• Has delivered software in a production environment and supported it once in the field.

Responsibilities

• Design, implement, and maintain the on‑vehicle control plane that retrieves configuration from the cloud and applies it across the vehicle's ECUs.
• Design, implement, and maintain the on‑vehicle data plane that collects, processes, and forwards data from vehicle systems to cloud storage.
• Optimize our control and data plane for reliable data egress and configuration delivery over intermittent connectivity, rapid convergence to new configuration, and a minimal CPU and memory footprint on the target ECU.
• Integrate with cloud services such as Azure, AWS S3, and Firestore for configuration delivery, device state reporting, and data egress.
• Collaborate with DevOps and Cloud teams to roll out new on‑vehicle software and configuration safely.
• Instrument our software with the observability needed to monitor the fleet, diagnose issues in production, and resolve them at the source.
• Contribute to the open‑source community by reporting issues, contributing to documentation, and submitting patches.
• Drive the technical direction of how we manage thousands of vehicles from a single control plane, including configuration distribution, version management, device identity, and remote diagnostics.
• Mentor junior and senior peers, and support team growth.
• Promote best practices within the software community.
• Be an integral part of a dynamic, growing team, contributing positively to team culture and success.

Skills

C/C++

Distributed systems

Embedded software

Cloud integration

Open-source

Problem solving

Communication

Mentoring

CI/CD

Fleet management

Education

Bachelor's degree in Computer Science or Engineering

Tools

Linux

Android

QNX

Job description

Job Description

We are looking for a skilled Staff Embedded Software Engineer with a deep understanding of distributed systems and fleet‑scale device management to develop, optimize, and maintain our embedded control and data plane infrastructure. The ideal candidate will have a strong background in software development (C/C++), a passion for open‑source technologies, and experience designing and operating data‑intensive pipelines together with the configuration systems that manage them across a distributed device fleet.

What You'll Do (Responsibilities)

• Design, implement, and maintain the on‑vehicle control plane that retrieves configuration from the cloud and applies it across the vehicle's ECUs.
• Design, implement, and maintain the on‑vehicle data plane that collects, processes, and forwards data from vehicle systems to cloud storage.
• Optimize our control and data plane for reliable data egress and configuration delivery over intermittent connectivity, rapid convergence to new configuration, and a minimal CPU and memory footprint on the target ECU.
• Integrate with cloud services such as Azure, AWS S3, and Firestore for configuration delivery, device state reporting, and data egress.
• Collaborate with DevOps and Cloud teams to roll out new on‑vehicle software and configuration safely.
• Instrument our software with the observability needed to monitor the fleet, diagnose issues in production, and resolve them at the source.
• Contribute to the open‑source community by reporting issues, contributing to documentation, and submitting patches.
• Drive the technical direction of how we manage thousands of vehicles from a single control plane, including configuration distribution, version management, device identity, and remote diagnostics.
• Mentor junior and senior peers, and support team growth.
• Promote best practices within the software community.
• Be an integral part of a dynamic, growing team, contributing positively to team culture and success.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proficiency in programming languages such as C, C++, and other related languages (8+ years of hands‑on development experience).
• Experienced developing software for Linux, Android, and QNX platforms.
• Solid understanding of distributed systems, configuration management, and large‑scale data pipelines.
• Experience designing, developing, or operating a control plane, fleet management system, or other large‑scale distributed coordination service.
• Familiarity with vehicle communication protocols (UDS, CAN, SOME/IP, XCP).
• Familiarity with Autosar standards.
• Experience in leading complex cross‑organizational initiatives.
• Expert in software development and optimization.
• Strong problem‑solving skills and the ability to troubleshoot complex issues in production environments.
• Excellent communication skills and the ability to work effectively in a team environment.
• Has delivered software in a production environment and supported it once in the field.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Understanding of network communication and security protocols, including mTLS and certificate‑based device identity.
• Familiarity with cloud platforms (AWS, GCP, Azure) and their device management services (IoT Hub, IoT Core, Pub/Sub, or equivalent).
• Familiarity with OpenTelemetry.
• Experience building fleet management, OTA, or remote configuration systems, and contributions to Fluent Bit or other data‑intensive open‑source projects.
• Experience working with Firestore.
• Knowledge of security best practices for device provisioning, configuration delivery, and authentication of cloud‑to‑device traffic.
• Experience with CI/CD pipelines and automation tools.

Gm does not provide immigration‑related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h‑1b, tn, stem opt, etc.) Now or in the future.

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