Senior C++ Engineer

We are seeking a Senior C++ Engineer to support core compiler and machine learning infrastructure. In this role, you will drive the open-source OpenXLA pull request workflow and maintain system stability.

Responsibilities

• 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 active, 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, accurately determining issue severity and technical complexity to guide escalation paths.
• Escalate deep compiler/hardware architecture issues, special privilege requests, or non-trivial investigations to the appropriate FTE/rotation teams.

Minimum Requirements

• 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 pull request 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.
• Strong analytical and triage skills, with the ability to independently isolate root causes in software failures and determine escalation paths.
• High degree of autonomy, proactive follow-up habits, and strong technical communication skills in English.

Preferred Qualifications

• Direct experience with LLVM infrastructure, compilers, or code generation frameworks.
• Practical exposure to XLA, OpenXLA, TensorFlow, PyTorch, or deep learning compiler internals.
• Conceptual understanding or hands-on experience with GPU/CPU internal architectures, memory models, and hardware acceleration, including CUDA or ROCm.
• Familiarity with modern AI-assisted coding tools, such as Claude Code, Cursor, or GitHub Copilot.
• Experience working within Google internal development environments and tooling.

Benefits

• Opportunity to work on bleeding-edge projects.
• Work with a highly motivated and dedicated team.
• Competitive salary.
• Flexible schedule.
• Benefits package including medical insurance and sports.
• Corporate social events.
• Professional development opportunities.
• Well-equipped office.