2 дня назад
LLM Inference (AI)
183 800 - 309 700CHF
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
LLM Inference (AI): Building and optimizing inference systems and tools for frontier generative AI research and production deployment with an accent on GPU kernel programming, distributed systems, profiling, and heterogeneous compute efficiency. Focus on implementing research ideas, diagnosing performance and numerical bottlenecks, and optimizing PyTorch models with frameworks such as vLLM and SGLang.
Location: Zurich, Switzerland. Employees living within 25 miles of a designated office are expected to work from that office at least four days per week.
Salary: CHF 183,800–309,700 per year across Switzerland.
Company
AI is a startup-like organization within focused on developing safe, responsible AI systems that amplify human potential.
What you will do
- Work with researchers and engineers to implement frontier AI research ideas.
- Develop systems, tools, and techniques that improve large-scale model inference performance.
- Build diagnostics for performance bottlenecks, numerical instability, and distributed-systems issues.
- Establish tools and processes that improve collective engineering productivity.
- Overcome technical roadblocks and deliver iterative improvements to users.
Requirements
- Bachelor’s degree in Computer Science or a related technical field, plus 6+ years of technical engineering experience, or equivalent experience.
- Strong coding experience in languages including C, C++, C#, Java, JavaScript, or Python.
- Experience with generative AI, distributed computing, and large-scale production inference.
- Expertise in Python and its ecosystem, GPU kernel programming, and benchmarking, profiling, and optimizing PyTorch generative AI models.
- Experience with open-source inference frameworks such as vLLM and SGLang.
- Working knowledge of the JAX scaling book and familiarity with Infiniband and NVLink.
Nice to have
- Master’s degree in Computer Science or a related technical field.
- 8+ years of technical engineering experience, or 12+ years with a bachelor’s degree.
Culture & Benefits
- Applied research environment embedded directly in AI’s research organization.
- Work spanning kernels, architecture co-design, distributed systems, profiling, and testing tools.
- Culture centered on growth mindset, respect, integrity, accountability, inclusion, and collaboration.
- Opportunity for AI models and research to reach billions of users through product partnerships.
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