4 дня назад
Senior Software Engineer (Machine Learning)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
Senior Software Engineer (Machine Learning): Designing and deploying machine learning models across gaming consoles and CPU/GPU architectures with an accent on inference performance, real-time game integration, and proprietary runtime tooling. Focus on optimizing CPU/GPU execution, developing high-performance compute shaders, and integrating ML workflows into game engines.
Location: Stockholm, Sweden; hybrid work model
Company
is Electronic Arts' game engine and technology organization, developing tools and runtimes used to deliver interactive gaming experiences.
What you will do
- Design end-to-end solutions for running machine learning models on a variety of devices.
- Optimize CPU and GPU inference to meet performance targets while minimizing impact on real-time gameplay.
- Integrate ML solutions into proprietary tools and game runtimes.
- Improve workflows for game teams to import, test, and analyze ML models.
- Collaborate with ML experts, game engineers, technology engineers, and researchers to assess and optimize models and architectures for on-device performance.
Requirements
- 7+ years of hands-on software engineering experience with C++, including multithreading and low-level or near-hardware optimization.
- GPU programming experience, including high-performance compute shaders in HLSL or an equivalent technology.
- Proficiency in debugging, profiling, and optimizing real-time software.
- Understanding and practice of version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile.
- Experience collaborating and sharing updates with developers and partners, including remote and asynchronous teams across different time zones.
- BSc or MSc in Computer Science, Engineering, Mathematics, or equivalent professional experience.
Nice to have
- Experience with machine learning inference runtimes or engines such as ONNX Runtime, llama.cpp, or similar technologies.
- Familiarity with PyTorch, TensorFlow, or similar frameworks.
- Experience owning technical projects end to end and mentoring other engineers.
Culture & Benefits
- Collaborative environment involving game and central technology engineers, researchers, and remote teams.
- Benefits may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, and complimentary games, tailored to local needs.
- Workplace accommodations are available for qualified individuals with disabilities as required by applicable law.
- Equal opportunity employment with consideration for applicable protected characteristics and criminal-record requirements.
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