Senior AI-Centric Release & Automation Software Engineer (AI)

Location: Sunnyvale, California, United States

Salary: $153,200–$234,100 per year, plus bonus potential

Company

hirify.global develops automotive products and autonomous-vehicle technologies with a vision focused on zero crashes, zero emissions, and zero congestion.

What you will do

• Lead automation across software development, testing, release, and operational workflows.
• Build AI-enabled solutions for test analysis, failure classification, defect triage, documentation, reporting, and workflow orchestration.
• Develop scalable CI/CD integrations for simulation, hardware-in-loop, regression, and release validation.
• Build data pipelines combining engineering, QA, simulation, test, and release information into actionable insights.
• Improve visibility into test health, regression trends, flaky tests, failure patterns, and release readiness.
• Define standards and governance for secure, observable, maintainable, and scalable automation and AI solutions.

Requirements

• Strong proficiency in Python and SQL.
• Proven experience with CI/CD systems such as GitHub Actions, Jenkins, GitLab, or equivalent.
• Hands-on experience developing ELT/ETL pipelines and integrating engineering, QA, simulation, and operational data.
• Experience applying AI, machine learning, or LLM-based solutions to engineering productivity, test analysis, defect triage, documentation, or decision-making.
• Experience integrating simulation or hardware-in-loop testing into automated pipelines, with strong analytical, debugging, and communication skills.
• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent experience.

Nice to have

• Experience with AI agents, copilots, retrieval-augmented generation, workflow automation, or intelligent engineering tools.
• Knowledge of autonomous-vehicle or ADAS software architectures and automated vehicle testing.
• Experience with release governance, quality gates, compliance, reliability engineering, or safety-critical systems.
• Experience with cloud environments such as AWS, GCP, or Azure and visualization or observability tools such as Grafana, Superset, or Power BI.
• Experience integrating Jira, GitHub Projects, or similar tools into release tracking and engineering triage.

Culture & Benefits

• Health, dental, and vision insurance options, plus HSA and FSA programs.
• Retirement savings plan, life insurance, sickness and accident benefits, and paid vacation and holidays.
• Tuition assistance, employee assistance programs, and GM vehicle discounts.
• Work in a cross-functional environment with engineering, QA, operations, data, and program teams.

Hiring process

• Applicants may complete role-related assessments and pre-employment screening where applicable.