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4 дня назад

Software Engineer, Productivity - Inference Runtime (AI)

230 000 - 385 000$
Формат работы
onsite
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

Software Engineer, Productivity - Inference Runtime (AI): Developing and scaling engineering systems, safeguards, and developer workflows for hirify.global's inference runtime with an accent on deploy gate validation and CI/CD infrastructure. Focus on reducing noise from flaky tests, improving release automation, and enhancing the reliability of large-scale model deployments.

Location: San Francisco, USA

Salary: $230K – $385K

Company

AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Develop and evolve tooling for deploy gate validation to ensure inference engine releases are performant and regression-free.
  • Standardize and harden release, validation, branching, and deployment processes across the inference stack.
  • Optimize CI, testing, and validation infrastructure to reduce flakiness and improve signal quality.
  • Build automation for failure triage, ownership detection, debugging, and escalation.
  • Collaborate with inference and infrastructure teams to improve rollout safety and reduce developer friction.

Requirements

  • Strong experience with CI/CD systems, testing infrastructure, and large-scale build systems.
  • Proficiency in Python, as much of the current validation infrastructure is Python-based.
  • Ability to debug complex distributed systems and operate in ambiguous environments.
  • High ownership and developer empathy to proactively drive workflow improvements.
  • Must be based in San Francisco.

Nice to have

  • Experience with C++ for performance-sensitive systems or inference engine code.
  • Prior experience with large-scale inference systems.

Culture & Benefits

  • Opportunity to work on one of the largest and most performance-sensitive inference platforms in the world.
  • High-impact environment where work directly enables new model launches.
  • Commitment to safety, human needs, and diverse perspectives in AI development.
  • Equal opportunity employer with a focus on inclusivity.

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