{"id":2498065,"url":"https://alion.io/job/majestic-labs-ai-kernel-engineer","title":"AI Kernel Engineer","company":{"id":3786079,"name":"Majestic Labs","domain":"majestic-labs.ai","url":"https://alion.io/company/majestic-labs","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ra'anana, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"OpenMP","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Triton","optional":false},{"name":"LLVM","optional":true},{"name":"MLIR","optional":true}],"status":"live","first_seen_at":"2026-09-07T10:48:21Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-10-19T03:17:40Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":41},"description":"Description\nWe’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training.\nBacked by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!\nAbout the position\nDesign and implement high-performance compute kernels for AI primitives such as GEMM, attention, normalization, and convolution.\nOptimize for throughput, latency, and memory hierarchy across heterogeneous compute units (SIMD, matrix engines, DMA).\nCollaborate with compiler and runtime teams to integrate kernels into Triton and PyTorch pipelines.\nProfile and tune kernels using tools like Perfetto, VTune, Tracy, Nsight, or custom simulators.\nPrototype and evaluate precision formats (FP16/BF16/FP8/e5m2, MXFP/FP4, etc.).\nContribute to micro-architecture feedback loops, helping co-design ISA and memory features with the hardware team.\nRequirements\nDegree at any level in Computer Science, Computer Engineering, or a related field from a recognized university.\nStrong background in parallel programming (CUDA, Triton, RISC-V Vector (RVV), POSIX Threads, or OpenMP).\nDeep understanding of memory layout, vectorization, thread/block scheduling, and cache behavior.\nExperience programming wide-SIMD vector units and matrix/systolic engines.\nFamiliarity with the parallel-computing ecosystem and its high-performance libraries and\nprimitives, such as BLAS/BLIS, dense linear algebra, and parallel scan/reduce/sort.\nSkilled in performance analysis and parallel debugging using tools such as GNU Debugger and Nsight.\nHands-on experience profiling and optimizing compute or AI workloads (e.g., GEMM, softmax, attention).\nSolid grasp of numerical stability, precision formats, and mixed precision arithmetic.\nProficiency in C++17 or higher, with strong knowledge of standard algorithms, data structures, and generic programming paradigms.\nCollaborative work style with the ability to operate effectively in multicultural, cross-disciplinary environments.\nPreferred qualifications\nExperience with optimization of irregular algorithms, such as graph computations or sparse\nnumerical linear algebra, combining high-level data structure design with low-level SIMD and synchronization optimizations.\nFamiliarity with LLVM/MLIR.\nRISC-V systems or bare-metal programming, including RISC-V vector and matrix extensions.\nWe seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don't meet all requirements, we'd love to hear from you if you have the mindset to tackle complex challenges.\nMajestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. 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