Senior C++ Developer
As a Senior C++ Developer embedded in the XLA:GPU team, you will serve as the primary owner of two foundational third-party GPU libraries - cuDNN and NCCL. You will manage their full update lifecycle, from integration and patch maintenance through validation and regression triage, across a diverse hardware fleet spanning legacy Volta to the latest GPU generations. This role exists to free core compiler engineers to focus on development by providing a dedicated expert on library integration, build stability, and proactive infrastructure improvement. Given the breadth of GPU usage across the stack, even minor regressions carry significant downstream impact - making precision and rigor central to everything you do.
Essential functions
Library integration: Execute end-to-end update playbooks for cuDNN (monthly) and NCCL (bi-monthly), covering internal versioning, user migration, and OSS build alignment.
Triage & debugging: Identify, investigate, and resolve performance regressions and functional bugs surfaced during library update cycles.
Build maintenance: Manage and rebase custom patches for NCCL; resolve complex build and dynamic/static linking issues arising from new library configurations.
Validation & benchmarking: Verify new library versions against the XLA benchmarking suite and coordinate with internal partners to validate siloed codebases.
Infrastructure improvement: Proactively enhance regression benchmarking suites and automation tooling to reduce manual effort in library rollouts.
Documentation & tracking: Maintain rigorous records of analyses and investigations in the issue tracker; keep integration playbooks current and accurate.
Qualifications
C++ proficiency: 6+ years of professional engineering experience with deep hands-on C++ skills; able to read, navigate, and debug large, complex codebases confidently.
Linux systems programming: Deep understanding of compilation pipelines, dynamic and static linking, ELF binaries, and shared library mechanics.
Systems environments: Proficiency with Linux command-line tooling and Bash scripting for automation tasks.
Communication: Upper-intermediate English, sufficient for technical documentation, cross-team coordination, and async written communication.
Problem-solving: Proven track record of triaging ambiguous technical issues and conducting thorough root-cause analysis.
Build systems : Familiarity with large-scale build tools such as Bazel, Blaze, or CMake.
GPU libraries: Prior exposure to CUDA, cuDNN, or NCCL architectures is highly advantageous.
Hardware awareness: Experience managing software compatibility across multiple GPU hardware generations.
Would be a plus
Data & workflow tools: Experience with internal monitoring or data pipeline tooling is a plus.
We offer
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, sports
Corporate social events
Professional development opportunities
Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing 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.
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