Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$150к-300к/год
$190к$220кмедиана$260к
По похожим ролям (48) ~ $220к/год
На СНГ рынке: $4.2к/мес ($3.2к - $5к)
88
Крутая вакансия
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Передовые исследования в AI, понятная прикладная роль, серьёзное финансирование и зарплата на уровне рынка делают вакансию перспективной; главный компромисс - неопределённость быстрорастущего стартапа.
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Риски стартапаПередовой AIСерьёзные инвестицииСовременный стекЗарплата по рынкуПонятные задачи
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied Researcher (AI Agents) (Frontier AI/Semiconductor Design): Building agent environments, verifiers, evaluations, and post-training systems for semiconductor design and verification workflows with an accent on reinforcement learning, EDA tools, and long-horizon experimentation. Focus on designing rewards for functional correctness and engineering constraints, debugging multi-tool failures, and evaluating recovery and generalization across designs.
Location: San Francisco, New York, London, or remote
Cash compensation: $150,000–$300,000 annually plus equity incentives
Company
hirify.global is building an open superintelligence stack combining compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for frontier AI research and production.
What you will do
Build interactive environments where agents use EDA tools to modify designs, debug failures, and plan multi-step work.
Develop verifiers and reward signals grounded in tests, simulation, formal methods, design rules, and engineering outcomes.
Run experiments on credit assignment when feedback arrives late and multiple tools contribute to outcomes.
Design evaluations for correctness, recovery, and generalization across blocks, designs, and constraint sets.
Build agents, environments, evaluations, and post-training systems for RTL generation and debugging, formal verification, simulation, physical design, optimization, and orchestration across EDA tools.
Work directly with customers, users, or research partners while maintaining a substantive research agenda.
Requirements
Depth in reinforcement learning, agents, or post-training systems, with the ability to become fluent in semiconductor workflows.
Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops.
Strong experimental judgment, including meaningful baselines, careful trace inspection, clear failure attribution, and evidence-driven iteration.
Strong Python skills and the ability to build artifacts that other researchers and engineers can run, inspect, and extend.
Comfort owning ambiguous problems and keeping partners and teammates current while resolving them.
Nice to have
Prior work in design automation, compilers, formal methods, or machine learning for systems.
Publications, open-source systems, benchmarks, or shipped products demonstrating exceptional work.
Culture & Benefits
Flexible work from San Francisco, New York, London, or remotely.
Visa sponsorship and relocation support.
Professional development budget.
Team off-sites and conference attendance.
Opportunity to work at the intersection of frontier research, real infrastructure, and customer-facing applied research.
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