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8 дней назад

Principal Test Automation Engineer (AI)

195 000 - 285 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Principal Test Automation Engineer (AI): Building AI-enabled workflow automation across the software development lifecycle, including agent harnesses, engineering tool integrations, and quality-engineering automations with an accent on cross-layer failure attribution, evaluation methodology, and auditable guardrails. Focus on designing reliable automations for hardware-backed software stacks, measuring nondeterministic system behavior, and setting technical direction across engineering teams.

Location: Santa Clara, California or remote within the United States; hybrid work

Salary: $195,000–$285,000 annually, plus bonus and incentive opportunities

Company

hirify.global develops software and hardware for generative AI, including silicon, compiler, firmware, device drivers, and inference-serving systems.

What you will do

  • Set the technical direction for AI-enabled automation across build, CI, testing, and release workflows.
  • Build an agent harness and integrations with GitLab, Jira, test results, logs, and observability data.
  • Develop evaluation methods to measure time savings, correctness, and the impact of nondeterministic automations.
  • Define guardrails, autonomy boundaries, engineering standards, and auditability requirements for AI-driven changes.
  • Deliver quality-engineering automations for failure attribution, failure clustering, defect deduplication, coverage-gap analysis, and release-readiness summaries.
  • Establish shared engineering patterns through design reviews and mentoring.

Requirements

  • Extensive production software engineering experience with strong Python skills.
  • Working experience with Rust and/or C++ sufficient to understand build flows and diagnose compiler errors.
  • Production experience shipping AI-enabled tools or automation used by other engineers.
  • Hands-on experience with LLM APIs, agent harnesses, tool integration, and context engineering.
  • Experience with CI/CD, testing, release processes, and evaluations for nondeterministic systems.
  • Experience setting technical direction across teams and choosing appropriately between AI agents, deterministic tools, and scripts.

Nice to have

  • Experience with compilers, firmware, or hardware-in-the-loop testing.
  • Experience with MCP or similar integration protocols.
  • Experience with GitLab, Jira, or Prometheus APIs.
  • Experience managing cost and latency in LLM-based systems.
  • Daily use of Claude Code, Cursor, Copilot, or similar AI coding tools.

Culture & Benefits

  • Collaborative and inclusive environment centered on respect, humility, and direct communication.
  • Medical, dental, and vision coverage.
  • 401(k) and rewards tied to individual and company performance.
  • Work on generative AI software and hardware systems.

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