Intel

AI Frameworks Engineer

215.7k - 388.3k PLN215 740 - 388 330 PLN/ rok./ rok.UoPUmowa o pracę (brutto)

SeniorHybryda·GdańskFull-time·Umowa o pracę

#459703·Dodano 9 dni temu·0

Źródło: Intel

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Tech Stack / Keywords

Python PyTorchvLLMLinuxGPUAILLMDistributed ComputingPerformance ProfilingCompute Kernels

Firma i stanowisko

Intel's Data Center Group (DCG) develops AI frameworks and workloads that empower researchers and developers to create high-performance, scalable solutions for complex AI challenges, focusing on AI frameworks and workload development for LLM inference on Intel GPUs.

Wymagania

Bachelor's degree in AI, Computer Science, Computer Engineering, Mathematics, Physics, or related field.
4+ years of relevant experience with a Bachelor's degree, or 3+ years with a Master's degree.
Advanced expertise in Python programming.
Hands-on experience with AI inference and large language models (LLMs).
Demonstrated proficiency in PyTorch.
Solid foundation in AI frameworks, machine learning algorithms, and software engineering practices.
Strong problem-solving skills with experience in debugging and designing optimized software and algorithms.
Proficiency in Linux environments from a user perspective.

Nice to have:

Experience in performance profiling and optimization for AI workloads, including hardware-level profiles.
Familiarity with parallel and distributed computing concepts and collective communication libraries.
Familiarity with vLLM or another LLM inference serving framework.
Track record of accepted contributions to major open-source AI projects.
Understanding of numerical precision and quantization formats (FP8, INT8, INT4) and accuracy implications.
Knowledge of writing/optimizing GPU compute kernels.
Creativity and innovative technical problem-solving skills.
Strong communication skills and ability to work across global teams.

Obowiązki

Design, develop, and optimize AI framework software for LLM inference on Intel GPUs, contributing upstream to external open-source frameworks such as vLLM and PyTorch.
Develop and optimize compute kernels for transformer inference.
Implement and tune distributed execution paths including tensor, pipeline, and data parallelism, collective communication, and asynchronous data movement within deep learning frameworks.
Transform and optimize the computational-graph representation of neural network models, and develop machine learning primitives in mathematical and kernel libraries.
Profile inference workloads to identify performance bottlenecks across the stack, quantify them, and propose and drive solutions with component teams.
Optimize code for various computing hardware backends, adapting to memory hierarchy, instruction sets, and execution models.
Build and extend unit tests, correctness checks, and performance regression coverage to maintain reliability as upstream projects evolve.
Collaborate with framework, compiler, and machine learning engineers globally and engage with the open-source community through code review and discussions.

Benefity

Safe working environment at home or on-site.
Continuous professional development through technical and soft skills training, innovation projects, and rotational programs.
Flexible working hours.
Benefits including Stock Program, Annual and Quarterly Bonuses, Employee Pension Plan, Medical Plan and life insurance for employee and family, Peer-to-peer recognition, Ticket restaurant Card, Multisport/Holiday card, groups of enthusiasts, exclusive employee discounts, and (online) events.

Elastyczne godziny

Premie

Inne informacje

All qualified applicants will receive consideration for employment without regard to legally protected characteristics as described in the Posting Statement.

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