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6 часов назад

Computational Scientist (Quantum AI)

200 000 - 300 000$
Формат работы
onsite
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

Текст:
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TL;DR
Computational Scientist (Quantum AI): Applying quantum-native generative methods to partner workloads through prototyping, benchmarking, and reproducible scientific computing with an accent on generative modeling, simulation, and quantitative validation. Focus on comparing quantum, classical, and hybrid approaches, modeling workloads for quantum-accelerated AI architectures, and producing evidence for research and partner-facing decisions.

Location: San Francisco, United States; onsite. Occasional travel is required for cross-site coordination and partner meetings.

Salary: $200,000–$300,000 base salary per year, plus equity.

Company

hirify.global Technologies develops quantum-accelerated AI servers and quantum-native approaches for AI training, inference, reasoning, and generative modeling.

What you will do

  • Assess where quantum-native generative methods can provide value in partner domains.
  • Build proof-of-concept implementations and adapt research-team methods to partner workloads.
  • Validate results against trusted molecular dynamics, Monte Carlo, classical solver, and production-model baselines.
  • Design realistic quantum, classical, and hybrid benchmarks using simulation, circuit emulation, and analytic resource models.
  • Model partner workloads on the company’s quantum-accelerated architecture and create charts, comparisons, and reproducibility artifacts.
  • Present technical results to domain experts and feed findings into future algorithm development.

Requirements

  • Advanced training at MS or PhD level in a computational field, or equivalent industry experience.
  • Strong Python and scientific computing skills, including linear algebra, ODE/SDE solvers, sampling, Monte Carlo methods, and uncertainty quantification.
  • Experience with generative modeling, including diffusion, flow matching, normalizing flows, score-based, or energy-based models.
  • Exposure to tensor networks or other structured representations for high-dimensional problems.
  • Applied experience in molecular or materials modeling, time-series forecasting, physical simulation, or generative design.
  • Technical writing skills and a record of reproducible research artifacts or collaborative publications.

Nice to have

  • Prior quantum computing experience.

Culture & Benefits

  • Grounded, optimistic, rigorous, and collaborative working culture.
  • Company-sponsored health coverage for employees and families.
  • Visa sponsorship support when possible.
  • Unlimited PTO.
  • Company offsites and casual team socials.
  • Opportunities to publish algorithm research and use agentic AI tools in daily workflows.

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