Datacenter & Agentic AI Workload Performance Optimization Engineer

Tenstorrent is seeking a Workload Performance Optimization Engineer to optimize software workloads on next-generation RISC-V platforms. The role involves working across datacenter and agentic AI workloads, identifying performance bottlenecks, and developing software, compiler, runtime, and hardware-aware optimizations. This remote position is based in North America and requires collaboration across teams.

Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field with strong experience in performance optimization, computer architecture, compilers, or systems software. Hands-on experience with runtime or compiler optimization (OpenJDK/JIT, LLVM, GCC, V8, Python). Strong understanding of CPU performance, memory hierarchies, concurrency, vector/SIMD, RISC-V. Expertise with profiling tools (Linux perf, QEMU). Strong programming in Java, Python, C/C++, RISC-V.