5 of 5 LLVM Jobs

have, but is not required Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with contributions to MLIR or LLVM projects a plus Experience with optimization methods (LP/MIP, CP, SAT/SMT) using solvers like Gurobi or OR-Tools for scheduling and resource

automated bug-detection tooling that will underpin the entire platform. What do we need from you? Strong experience with compiler frameworks such as LLVM/Clang, Soot, WALA, Spoon, JavaParser, CodeQL, Infer, Qodana etc. Background in program analysis, including static or dynamic analysis, reverse engineering, or code-understanding tooling.

automated bug-detection tooling that will underpin the entire platform. What do we need from you? Strong experience with compiler frameworks such as LLVM/Clang, Soot, WALA, Spoon, JavaParser, CodeQL, Infer, Qodana etc. Background in program analysis, including static or dynamic analysis, reverse engineering, or code-understanding tooling.

development of a cutting-edge compiler development project. Significant hires have already been made in the team to support this role. Mostly LLVM based, it is important you also have experience working with GPUs to an extent. About you: 6 years+ as a compiler engineer Strong C++ programming skills … Experience with LLVM, MLIR, Triton or other compilers Experience with GPU architectures Full details are available. Please don't hesitate to get in touch.

Experience with cycle-accurate microarchitecture simulation and performance modelling. Desirables: Experience with gem5, Sniper, ChampSim, or other cycle-accurate detailed microarchitecture simulators. Experience with LLVM backend development or custom ISA extension implementation. Strong knowledge of profile-guided optimization (PGO) and feedback-directed optimization. Experience with compiler development (LLVM