Datacenter AI Workload Performance Engineer

Tenstorrent

Santa Clara (CA)

Remote

USD 100.000 - 500.000

Vollzeit

Vor 11 Tagen
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Zusammenfassung

Tenstorrent is seeking a Datacenter & Agentic AI Workload Performance Analysis Engineer to shape CPU performance across datacenter and AI workloads. You will bridge hardware and software, profiling real-world workloads, and guiding architectural improvements with engineers across CPU, RTL, compilers, and runtimes.

This remote role is based in North America, welcoming candidates at various experience levels; offers competitive compensation and a path to impact next-generation RISC-V CPUs.

Qualifikationen

  • PhD or equivalent in Computer Engineering, CS, or Electrical Engineering with strong workload characterization, benchmark development, performance analysis, or simulation experience.
  • Deep understanding of CPU architecture and RISC-V, including pipelines, speculative execution and vector/SIMD.
  • Hands-on experience with profiling and simulation tools such as perf, strace, QEMU, or CPU simulators.
  • Strong programming skills in C/C++, Python, Bash, and assembly or intrinsics.
  • Solid understanding of OS, virtualization, compilers, runtimes, and GNU/RISC-V ecosystems.

Aufgaben

  • Analyze CPU performance on datacenter and AI workloads and translate findings into architectural improvements.
  • Work across CPU, RTL, software, and compiler teams to optimize performance.
  • Profile, simulate, and correlate workloads with hardware behavior to guide design decisions.
  • Communicate technical results clearly to architects and engineers.

Kenntnisse

CPU performance analysis
Microarchitecture knowledge
Profiling & simulation
Hardware-software boundary
Technical communication

Ausbildung

PhD in Computer Engineering/CS/EE

Tools

Linux perf
strace
QEMU
CPU simulators

Jobbeschreibung

Tenstorrent is seeking a Datacenter & Agentic AI Workload Performance Analysis Engineer to shape CPU performance across datacenter and AI workloads. You will bridge hardware and software, profiling real-world workloads, and guiding architectural improvements with engineers across CPU, RTL, compilers, and runtimes.

This remote role is based in North America, welcoming candidates at various experience levels; offers competitive compensation and a path to impact next-generation RISC-V CPUs.

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