Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Чётко очерченная graduate-роль даёт практический опыт с AI-ускорителями, ML-нагрузками и тестовой инфраструктурой, а также обучение и поддержку; ограничение по праву на работу в Великобритании сужает доступ.
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Без визового спонсорстваСовременный стекAI-инфраструктураОбучение с поддержкой
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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