Teams at Majestic Labs AI

Lead go-to-market and enterprise sales for custom AI infrastructure. Own the full sales cycle, technical validation, benchmarking, TCO modeling, contract negotiation, procurement, ecosystem evangelism, strategic partnerships, and outbound pipeline generation. Engage hyperscalers, datacenter operators, AI labs, and quantitative trading firms while translating hardware and software capabilities into customer performance and cost advantages. Define sales playbooks, pricing models, and GTM strategy for an early-stage company.

Lead architecture and integration of RISC-V-based compute clusters and vector engines for AI acceleration. Define ISA extensions, interconnects, memory hierarchies, scheduling, and cache utilization; collaborate with compiler, ML runtime, RTL, verification, and firmware teams; evaluate performance/power trade-offs; and specify debug, trace, and performance-monitoring features to deliver scalable, power-efficient AI SoC compute subsystems.

Design and implement high-performance kernels for AI primitives (GEMM, attention, normalization, convolution). Optimize throughput, latency, and memory hierarchy across heterogeneous compute units. Integrate kernels with Triton/PyTorch/SYCL, profile and tune with Perfetto/VTune/Tracy, prototype precision formats and stochastic rounding, and contribute micro-architecture feedback. Write reusable C++/CUDA/Triton/LLVM MLIR code.