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описание
Onboarding must take place in person, and travel may be required.
Grid Dynamics is a technology consulting, platform and product engineering, AI, and advanced analytics services provider. It helps enterprise companies address technical challenges and achieve business outcomes during digital transformation.
задачи
Work with large existing C++ codebases related to ML compilation and runtime infrastructure;
Adapt and evolve existing systems to operate correctly across multiple environments and deployment contexts;
Improve portability, reliability, and consistency of core infrastructure components;
Collaborate with compiler, framework, and infrastructure teams to ensure correct integration and validation;
Contribute to the ongoing stabilization and refinement of AI infrastructure used at scale.
требования
Strong proficiency in C++ with experience working in large, mature codebases;
Familiarity with LLVM or compiler-based systems;
Understanding of CPU architecture and performance considerations;
Familiarity with open source ML compiler or runtime projects targeting CPU or GPU;
Experience working in Linux-based development environments;
Hands-on experience working in containerized development or CI environments, such as Docker;
Working knowledge of Python for general engineering tasks and tooling;
Bachelor’s degree in Computer Science or a similar field;
Nice to have: exposure to large-scale ML frameworks such as TensorFlow or JAX and their compilation or execution paths, work around ML compiler stacks including XLA, MLIR, or LLVM-based backends, interest in low-level, performance-sensitive AI infrastructure and compiler-driven execution models.
условия
Competitive salary;
Flexible schedule;
Medical, vision, and dental insurance;
Corporate social events;
Professional development opportunities;
Well-equipped office;
All onboardings must occur in person, and travel may be required.
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