Senior C++ Engineer

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. The company has 8 years of experience and leadership in enterprise AI, supported by expertise and investment in data, analytics, cloud & DevOps, application modernization, and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

• 5+ years of commercial software engineering experience with a strong foundation in modern C++ (C++14/17/20).
• Proven experience working with large-scale, complex C++ open-source codebases and managing PR workflows.
• Strong expertise in C++ build systems, CI/CD pipelines, and debugging build/test failures in Linux environments.
• Hands-on professional background within semiconductor, chipmaker, hardware design, or enterprise hardware organizations (e.g., NVIDIA, AMD, Intel, Qualcomm, ARM, Dell, Linaro, Huawei, Linux Foundation, Microsoft).
• Strong analytical and triage skills to isolate root causes in software failures and determine escalation paths.
• High degree of autonomy, proactive follow-up, and strong technical communication skills in English.

Nice to have:

• Direct experience with LLVM infrastructure, compilers, or code generation frameworks.
• Practical 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 (CUDA, ROCm).
• Familiarity with modern AI-assisted coding tools (e.g., Claude Code, Cursor, GitHub Copilot).
• Experience working within Google internal development environments and tooling.

• Manage, coordinate, and streamline the OpenXLA pull request (PR) workflow within a large-scale, high-concurrency open-source C++ repository.
• Diagnose, debug, and implement code fixes for failed OpenXLA PRs and internal automated test suites.
• Monitor open PRs, conduct technical triage, and communicate with PR 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 to determine issue severity and guide escalation paths.
• Escalate deep compiler/hardware architecture issues and non-trivial investigations to FTE/rotation teams.

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