Staff Software Engineer - Automation Library Development

Description

The company is building a scalable automation ecosystem for the Software-Defined Vehicle (SDV) and is modernizing how vehicles are tested, validated and integrated.

This is a hybrid role. You are expected to report to Seattle, WA, Warren, MI or Milford, MI three times per week.

The role leads the company's software strategy for new technologies, complex features and major program enhancements. You will provide technical leadership to the teams that build and integrate the software, oversee design analysis, and lead integration and verification testing of software builds.

You will track new technologies and competitive products to shape the company's direction, set and share best practices across the software community, and act as a subject matter expert for specific platforms or applications.

You will also take part in hiring, including writing technical questionnaires, reviewing resumes and running interviews. You will work on projects that may lead to patent applications and keep visibility across infotainment teams and sites. Other related duties may be assigned.

Responsibilities

• Define and deliver automation software library strategy and solutions for vehicle-level test automation across all systems and subsystems.
• Build Python automation libraries and framework enablers for scalable vehicle-level testing.
• Set and enforce standards for clean, efficient and well-documented code.
• Review code and drive engineering best practices.
• Work with global teams to improve automation architecture and tooling.
• Partner with virtual engineering teams to create next-generation SDV tools and processes.
• Lead technical workshops to solve complex problems.
• Mentor and grow a high-performing software automation team.
• Drive continuous improvement of enterprise-scale automation pipelines and quality frameworks.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering or a related field.
• 7+ years of software development experience in C++, C, Python or similar languages.
• Hands-on experience building test automation and frameworks.
• Experience with open-source or commercial automation tools.
• Preferred: understanding of vehicle electrical architecture and vehicle subsystems and features.
• Preferred: experience adopting AI-enabled development practices, such as AI-assisted coding, test generation, documentation, code review and automation workflow optimization.
• Preferred: advanced degree in engineering, computer science or a technical leadership discipline.
• Preferred: 3+ years of automotive software development or test automation experience.
• Preferred: experience with Automotive Ethernet and the SOME/IP communication protocol.
• Preferred: experience designing and extending automation frameworks and platform enablers.
• Preferred: strong grasp of SDV architecture principles, including service-oriented architecture and decoupled software and hardware systems.
• Preferred: knowledge of AUTOSAR Adaptive and/or Classic Platforms.
• Preferred: experience with TCP/IP networking fundamentals and communication protocols.
• Preferred: experience debugging or analyzing in-vehicle network traffic, such as with Wireshark or packet-level inspection.
• Preferred: understanding of end-to-end communication flows across ECUs in automotive architectures.

Conditions

Hybrid work: report to Seattle, WA, Warren, MI or Milford, MI three times per week.

The company does not provide immigration sponsorship for this role. Do not apply if you will now or in the future need GM immigration sponsorship, including direct company sponsorship, the company as employer of record on a government form, or any work authorization that requires a written submission or other immigration support from the company, such as H-1B, OPT, STEM OPT, CPT, TN or J-1.

The role may be eligible for relocation benefits.

The company is committed to equal employment opportunity and an inclusive workplace.

Benefits

• Well-being support at work and at home from the start of employment.
• Total Rewards programme covering career and personal rewards.
• Role-related assessments and pre-employment screening may be required before starting.