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3 дня назад

Graduate Software Engineer, AI/ML Test Systems (AI)

45 000GBP
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
UK
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
Graduate Software Engineer, AI/ML Test Systems (AI): Creating and analysing machine learning workloads to test numerical accuracy and performance on Graphcore accelerator hardware with an accent on Python, C++, test automation, and CI/CD. Focus on designing tests across simulated and physical platforms, investigating difficult hardware-software problems, and turning performance data into measurable improvements.

Location: Bristol, UK; applicants must already have the right to work in the UK for the full duration of the programme without requiring visa sponsorship.

Salary: £45,000 per annum.

Company

hirify.global builds next-generation AI compute, including semiconductors, software, and systems at datacenter scale, and is owned by SoftBank Group.

What you will do

  • Create representative machine learning workloads and analyse numerical accuracy and performance on hirify.global accelerator hardware.
  • Design tests and improve testing strategies and infrastructure across simulated and physical hardware.
  • Build CI/CD pipelines and contribute to automated software quality checks.
  • Investigate difficult software and hardware problems, using test results and performance data to identify measurable improvements.
  • Connect machine learning frameworks and models with underlying hardware while collaborating with development teams on quality, security, and maintainability.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Maths, Machine Learning, Data Science, or a related field.
  • Strong Python skills and proficiency in C++.
  • Experience working with Linux operating systems.
  • Ability to learn new technologies quickly.
  • Already have the right to work in the UK for the full duration of the programme without requiring visa sponsorship.

Nice to have

  • Exposure to machine learning frameworks such as PyTorch, JAX, Triton, or TensorFlow.
  • Experience with test automation, CI/CD, data analytics, hardware architectures, or compilers.
  • Experience with distributed workload management systems or MLOps pipelines.

Culture & Benefits

  • Permanent role with a two-year graduate programme focused on hands-on learning across machine learning, testing, automation, and performance analysis.
  • Small squads with ownership of specific software-quality areas, supported by a buddy and manager.
  • Flexible working and thoughtfully designed office spaces with free food and an on-site barista.
  • Up to 5% matched pension, phantom equity, income protection, and life assurance.
  • Flexible benefits including private medical and dental cover, health cash plan, cycle-to-work scheme, and electric vehicle salary sacrifice.
  • Inclusive environment with interview adjustments available on request.

Hiring process

  • Submit application questions, CV, and cover letter.
  • Successful candidates complete a technical assessment.
  • Final-stage candidates attend in-person assessments in early spring; application outcomes are expected by early December.

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