Staff Software Developer - AV Diagnostics

Job Description

Remote: This role is based remotely in California but if you live within a 50-mile radius of Mountain View, CA, you are expected to report to that location three times a week, at minimum. 

The Role

Join us in shaping the future of mobility at General Motors, where innovation drives everything we do. Our team is building next-generation autonomous platforms, integrating advanced sensors and embedded systems to deliver safe, intelligent, and scalable solutions. 

We are seeking a highly skilled and motivated Staff Software Developer to join our Diagnostic Software team in the Autonomous Vehicle Integrity Platform department. In this role, you will act as the subject matter expert in diagnostic software development, responsible for architecting new diagnostic software applications and core diagnostic software libraries, along with their interfaces.

The ideal candidate will possess strong analytical and problem-solving skills, with a proven ability to collaborate effectively in a cross-functional team environment. You should demonstrate exceptional attention to detail, a commitment to delivering high-quality software solutions, and the ability to adapt to changing priorities.

As a Staff Software Developer, you will play a critical role in defining the next generation of Diagnostic Software. Your work will be conducted in a collaborative engineering environment, where you will exercise the highest levels of creativity, initiative, and independent judgment.

What You'll Do (Responsibilities)

• Lead the diagnostic software architecture and development related to all AV diagnostics.

• Own the diagnostic software applications and strategy for the development of in-house diagnostic software, collaborating effectively with cross-functional teams.

• Create and manage comprehensive architecture diagrams and technical execution plans.

• Deliver new diagnostic software solutions that comply with GM requirements and specifications. Consistently produce high-quality software through rigorous unit testing, thorough code reviews, and frequent check-ins for continuous integration.

• Review and approve Engineering Change Requests that impact GM Autonomous Vehicle Platform diagnostics globally.

• Communicate technical issues and decisions efficiently to management.

• Work with GM's manufacturing and service diagnostic teams to support new vehicle architectures, including Software Defined Vehicles (SDV).

• Collaborate with other Platform teams (Cybersecurity, Programming, Serial Data Communication, etc.) to analyze and address potential UDS integration issues.

• Assist in resolving production diagnostic problems by reviewing vehicle communication logs and other data records.

• Serve as a technical lead, actively guiding and mentoring fellow developers on the team to foster growth, collaboration, and technical excellence.

• Actively participate in hiring, development of technical questionnaires, resume reviews and perform interviews

• Represent the GM Diagnostic Software Team internally and externally through automotive industry work groups (ISO, SAE).

Your Skills & Abilities (Required Qualifications)​​:

• Bachelor’s degree in Computer Science, Computer Engineering, or work equivalent experience.

• Proven expertise in C++ programming language and other object-oriented programming languages (e.g., Python)

• A minimum of 8 years of experience in software design and development, with a strong focus on diagnostic software applications and diagnostic protocols (UDS).

• Experience in diagnostic strategy and software architect.

• Knowledge of vehicle diagnostic serial data protocols: UDS (ISO-14229), DoIP (ISO-13400), and KWP2000.

• Experience reading vehicle communication logs collected from Ethernet bus loggers and Wireshark.

• Understanding of vehicle electrical architecture systems and standards.

• Strong problem-solving skills and the ability to troubleshoot complex issues.

• Excellent communication skills and the ability to work effectively in a team environment.

• Proven results in successful project execution.

What Will Give You A Competitive Edge (Preferred Qualifications)​:

• Master’s degree in Software Engineering, Computer Science, Computer Engineering or related.

• Experience in embedded software development on System-on-Chips (SoCs).

• Familiarity with embedded Linux such as Yocto project.

• Experience with CI/CD pip