We are looking for a highly skilled Senior C++ Engineer to join our team working on cutting-edge machine learning compiler technologies for CPUs and GPUs. This position is part of a project for a world-renowned high-tech company, focused on building and improving the infrastructure that enables large scale machine learning frameworks used across the industry. In this role, you will contribute to performance-critical systems, collaborate with open-source communities, and help build scalable compiler infrastructure that powers modern ML frameworks.
Essential functions
Responsibilities
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
Qualifications
Requirements
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 (Docker or similar)
Working knowledge of Python for general engineering tasks and toolingNice 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
We offer
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.