Principal Software Engineer (Embedded Test Systems)

Location: Remote, with Austin, Texas; Milford, Michigan; Mountain View, California; and Warren, Michigan listed as locations. Employees living within the specified radius of a GM hub must report onsite three times per week or at a frequency set by the manager. Travel is required for less than 25% of the role.

Salary: $238,700–$365,700 annually, plus incentive pay potential.

Company

hirify.global develops automotive products and software-defined vehicle technologies with a focus on safety, emissions reduction, and mobility.

What you will do

• Lead the modernization of a large-scale embedded software test system across multiple engineering teams.
• Define architecture and roadmaps for standardized test execution, configuration and variation management, traceability, quality gates, regression selection, and results reporting.
• Build a fully automated, headless test framework across virtual and physical environments to support full-suite testing multiple times per day.
• Standardize test-result schemas, metadata, diagnostics, and artifacts, enabling Databricks-based analytics, trend analysis, data mining, and reporting.
• Develop APIs and integrations for test execution, test management, issue tracking, failure triage, diagnostics, and CI/CD pipelines.
• Coach and mentor engineers while driving cross-team improvements in test robustness, execution speed, deployment efficiency, and release confidence.

Requirements

• Bachelor’s degree in computer science, computer engineering, electrical engineering, software engineering, systems engineering, or a related field, or equivalent practical experience.
• Typically 15 or more years of experience validating software systems and leading architecture across organizations.
• Deep understanding of real-time software architecture and experience shipping high-quality safety-critical products.
• Experience architecting large-scale CI/CD, embedded test automation, and build-to-test pipelines.
• Expertise in variation management, configuration comparison, change-impact analysis, risk-based regression testing, and test-result data modeling.
• Proficiency with embedded systems, Linux, Git, Python, Bash, Robot Framework, containers, infrastructure as code, Databricks, analytics, and API development.

Nice to have

• Master’s degree or PhD in computer science, software engineering, machine learning, AI, or a related field.
• Experience with automotive software, systems engineering, safety-related toolchains, or GM engineering platforms.
• Experience building AI assistants, coding agents, knowledge systems, vector search, ranking, workflow orchestration, or code intelligence platforms.
• Experience evaluating AI quality in production using acceptance rate, time saved, precision and recall, hallucination reduction, or workflow completion rate.

Culture & Benefits

• Health, dental, vision, Health Savings Account, Flexible Spending Account, retirement savings, life insurance, and sickness and accident benefits.
• Paid vacation and holidays, tuition assistance, and employee assistance programs.
• GM vehicle discounts and eligibility for the company vehicle evaluation program after a motor vehicle report review.
• Remote work is available, with hub-based onsite attendance required for eligible employees.
• Relocation benefits are available for candidates who qualify under company policy.

Hiring process

• Applicants may be required to complete role-related assessments and pre-employment screening.