Senior Complier Engineer

About the job: You will be part of a high-performance systems team focused on optimising code generation and execution for a next-generation compute architecture. This role involves working deeply across compiler development and hardware interaction to improve performance and enable new architectural capabilities.You will be responsible for:Enhancing and contributing to the development of an LLVM-based compilerCollaborating on the programming model for a high-performance computing platformWorking closely with hardware design teams to co-optimise compiler strategies with architectureBuilding and optimising custom front-end and back-end compiler passesSupporting internal and external stakeholders on compiler-related challengesIdeal CandidateYou have an MS or PhD in Computer Science with 5+ years of experience in compiler developmentYou have strong proficiency in C++ (C++11 or later)You have hands-on experience with LLVM or GCC codebasesYou have a solid foundation in graph algorithms and data structuresYou have strong knowledge of front-end and back-end compiler techniquesYou have experience working on performance optimisation at the systems or compiler levelNice to HaveYou have experience with compiler strategies for parallel architectures such as GPUs or DSPsYou have knowledge of end-to-end toolchains including compilers, linkers, and debuggersWhats on OfferCompetitive compensation with meaningful equityHigh-impact role in a technically strong, low-bureaucracy environmentOpportunity to build long-term career and work on cutting-edge systemsAbout the employerOur client is a Silicon Valleybased deep-tech company building a new compute architecture for real-time AI at the edge. Founded by engineers from leading research backgrounds, the focus is on solving the gaps in current neural processing approaches through tight integration of hardware and software.The platform is built to run both neural network inference and conventional compute workloads efficiently across a wide range of edge devices. Unlike typical accelerators that only handle parts of an ML graph, this architecture supports end-to-end execution, including both neural network graph code and standard C++ DSP and control code, enabling greater flexibility and performance in real-world deployments. Who can apply: Only those candidates can apply who: have minimum 7 years of experience are Computer Science Engineering students Salary: Competitive salary Experience: 7 year(s) Deadline: 2026-09-23 23:59:59