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Staff Software Engineer (AI)

160 200 - 246 300$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Software Engineer (AI): Building and delivering production-grade AI capabilities to modernize engineering workflows and improve developer productivity with an accent on embedded software toolchains. Focus on designing scalable AI systems, integrating LLM-based solutions into CI/CD pipelines, and driving technical strategy across cross-functional engineering teams.

Location: Must be based in Austin, TX, Mountain View, CA, or Warren, MI (Hybrid: 3 days/week in office)

Salary: $160,200–$246,300

Company

hirify.global is a global automotive leader committed to a future of zero crashes, zero emissions, and zero congestion through innovation and inclusive engineering.

What you will do

  • Define the technical vision for AI-powered developer productivity tools and workflows.
  • Design and deliver scalable AI solutions to automate issue resolution, code analysis, and engineering support.
  • Lead architecture decisions for AI systems including model orchestration, evaluation, and observability.
  • Integrate AI capabilities into enterprise CI/CD systems and cloud-hosted engineering platforms.
  • Establish technical standards for responsible AI use, including security and maintainability guardrails.
  • Mentor engineers on AI system design and influence technical roadmaps across organizational boundaries.

Requirements

  • Must be authorized to work in the US without company sponsorship.
  • Bachelor’s degree in Computer Science, Software Engineering, or related field.
  • 10+ years of experience in software engineering, developer tooling, or applied AI.
  • Strong proficiency in Python and at least one additional engineering language.
  • Demonstrated expertise in applying LLMs to engineering problems like code analysis or workflow automation.
  • Experience leading technically ambiguous, cross-functional efforts from concept to production.

Nice to have

  • Master’s degree or PhD in a technical field.
  • Experience with embedded software, automotive toolchains, or safety-related systems.
  • Familiarity with GitHub-based engineering workflows and AI coding agents.
  • Experience evaluating AI quality using metrics like precision, recall, and hallucination reduction.

Culture & Benefits

  • Comprehensive health and wellbeing programs including medical, dental, and vision.
  • Retirement savings plan and life insurance.
  • Paid vacation and holidays.
  • Tuition assistance programs and employee assistance services.
  • Access to GM vehicle discounts.

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