c/c++ developer for AI infrastructure

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. The company helps enterprise organizations solve complex technical challenges and achieve business outcomes during digital transformation.

• Manage, coordinate, and streamline the OpenXLA pull request workflow within a large-scale, high-concurrency open-source C++ repository;
• Diagnose, debug, and implement code fixes for failed OpenXLA pull requests and internal automated test suites where resolutions are well understood or non-complex;
• Monitor open pull requests, conduct technical triage, and maintain professional communication with pull request authors and community contributors;
• Monitor, troubleshoot, and resolve complex build and runtime failures across XLA:GPU and XLA:CPU pipelines;
• Follow established OpenXLA engineering practices and determine issue severity and technical complexity to guide escalation paths;
• Escalate deep compiler or hardware architecture issues, special privilege requests, and non-trivial investigations to the appropriate FTE or rotation teams.

• 5+ Years of commercial software engineering experience with a strong foundation in modern C++ (C++14/17/20);
• Experience working with large-scale, complex C++ open-source codebases and managing pull request workflows;
• Strong expertise in C++ build systems, CI/CD pipelines, and debugging build and test failures in Linux environments;
• Professional experience in semiconductor, chipmaker, hardware design, or enterprise hardware organizations;
• Strong analytical and triage skills, with the ability to independently isolate root causes in software failures and determine escalation paths;
• High autonomy, proactive follow-up habits, and strong technical communication skills;
• English for professional communication;
• Nice to have: Direct experience with LLVM infrastructure, compilers, or code generation frameworks, exposure to XLA, OpenXLA, TensorFlow, PyTorch, or deep learning compiler internals, understanding or hands-on experience with GPU/CPU architectures, memory models, and hardware acceleration such as CUDA or ROCm, familiarity with AI-assisted coding tools, experience with Google internal development environments and tooling.

• Flexible schedule;
• Benefits package including medical insurance and sports;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office;
• Competitive salary.