AI Kernel Optimization Engineer

As an AI Kernel optimization Engineer, you will play a key role in pushing the limits of AI inference performance on Openchip RISC-V platforms.You will design, implement, and optimize AI compute kernels (Gen AI Large Language Model, AI Vision, CNNs, etc) and runtime components to fully exploit the underlying hardware architecture — from vector/matrix units and memory hierarchies down to the assembly level.Your work will directly influence how efficiently AI models run on Openchip SoCs, shaping the performance of next-generation inference accelerators. You will collaborate closely with hardware architects, compiler engineers, and AI framework developers to achieve optimal hardware–software co-design.Key ResponsibilitiesDevelop, optimize, profile, and debug AI compute kernels (e.g., GEMM, attention, activation) targeting Openchip RISC-V architectures.Identify and resolve performance bottlenecks at the ISA, compiler, and runtime levels.Collaborate with the hardware and architecture teams to guide design decisions that improve real-world performance.Contribute to the development and tuning of AI runtime and graph execution engines.Evaluate and benchmark AI inference workloads on Openchip platforms.Implement performance analysis tools and scripts to automate profiling and validation.Work with AI frameworks (e.g., PyTorch, ONNX Runtime, TensorRT, TVM) to ensure efficient mapping to Openchip targets.Stay up to date on AI kernel optimization trends, emerging hardware acceleration techniques, and open-source contributions.Required QualificationsMSc or PhD in Computer Engineering or Computer Science, or equivalent practical experience.3+ years of experience in performance optimization for AI Inference or HPC use cases.Technical skillsStrong background in low-level performance optimization (vectorization, memory access optimization, loop unrolling, instruction scheduling, data-tiling, etc).Proficiency in C/C++ and good understanding of assembly-level optimizations (SIMD, intrinsics, compiler flags).Solid understanding of CPU/GPU/AI accelerator architecture (pipelines, caches, memory hierarchies, compute units).Experience with RISC-V architectures or other custom ISAs.Experience with profiling and performance analysis tools (perf, VTune, nvprof, etc).Strong knowledge of parallel programming (SIMD, multithreading, OpenMP, CUDA, or similar).Solid software engineering skills (version control, CI/CD, testing).Nice to haveExperience with AI inference workloads or libraries (e.g., BLAS, cuDNN, oneDNN, TVM, or similar).Familiarity with MLIR/LLVM or other compiler infrastructures.Contributions to open-source AI inference engines or kernel libraries.Understanding of chiplet-based architectures or heterogeneous computing.Experience with quantization and mixed precision inference.Soft SkillsPassion for performance and detail-oriented mindset.Strong analytical and problem-solving abilities.Proactive, collaborative, and open to cross-disciplinary work.Curious and self-driven, with a learning mindset.Comfortable working in an international, fast-evolving startup environment.WHAT WE OFFERRemote policy: Up to 2 days per week remote work possibleBenefits: Meal vouchers, Premium health coverage, Sustainable mobility incentives, Generous paternity leave, etc.We offer a remuneration package that values your experienceWe believe in investing in our employees and providing them with opportunities for growth and career development.Join an innovative team and experience company growth.A chance to work at one of the most transformative AI and silicon engineering companies in Europe.Opportunity to travel to other countries in Europe to meet the teams, collaborate and drive solutionsWe are looking for outstanding people willing to join our mission to change the silicon industry and help build a better world. If you identify with Openchip, please contact us.At Openchip & Software Technologies S.L., we believe a diverse and inclusive team is the key to groundbreakingideas. We foster a work environment where everyone feels valued, respected, and empowered to reach their fullpotential - regardless of race, gender, ethnicity, sexual orientation, or gender identity. #J-18808-Ljbffr