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3 месяца назад

Principal Software Engineer (ML Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US

Описание вакансии

Текст:
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TL;DR
Principal Software Engineer (ML Infrastructure): Designing and scaling ML inference platform services with an accent on high-throughput RPC services and distributed systems. Focus on overseeing technical strategy, optimizing GPU utilization for LLM inference, and ensuring system reliability at scale.

Location: Must be based in the US (Bellevue, Los Angeles, New York, Palo Alto, or Seattle). Expected to work in an office 4+ days per week.

Company

Technology company operating hirify.global, Specs Inc., and Bitmoji, focusing on visual communication and human-centric computing.

What you will do

  • Oversee technical strategy and architecture for ML Inference Platform services.
  • Design, implement, and scale critical engineering components to support ML inference and deployment.
  • Collaborate across teams to translate product requirements into scalable technical solutions.
  • Advocate for and apply best practices in availability, scalability, operational excellence, and cost management.
  • Provide technical direction that influences the engineering approach across the entire company.

Requirements

  • 10+ years of post-Bachelor’s software development experience (or equivalent with Master's/PhD).
  • 2+ years of experience in technical leadership or acting as a domain expert for a technical organization.
  • Proven experience architecting and developing large-scale distributed systems and high-throughput RPC services.
  • Excellent programming and software design skills, including debugging and performance analysis.
  • Must be located in one of the specified US office locations and adhere to the 4+ days per week in-office policy.

Nice to have

  • Experience with Tensorflow, PyTorch, Kubernetes, GPU, and LLM inference.
  • Advanced degree in Computer Science or a related technical field.
  • Experience with cross-platform development.
  • Ability to drive a portfolio of concurrent engineering projects from research to launch.

Culture & Benefits

  • "Default Together" culture emphasizing the value of in-person collaboration.
  • Comprehensive medical coverage and emotional/mental health support programs.
  • Paid parental leave.
  • Compensation packages that allow employees to share in the company's long-term success.