Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$195к-285к/год
$170к$220кмедиана$250к
По похожим ролям (50) ~ $220к/год
На СНГ рынке: $3.6к/мес ($2.5к - $4.5к)
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Крутая вакансия
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Чётко очерченная роль технического лидера в сфере генеративного ИИ сочетает сильную зарплату выше рыночного ориентира и работу со сложными аппаратными и программными системами.
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Сфера ИИСовременные технологииПонятная рольВыше рынка
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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