Назад
18 дней назад

Datacenter & Agentic AI Workload Performance Optimization Engineer (RISC-V)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
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Описание вакансии

Текст:
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TL;DR
Datacenter & Agentic AI Workload Performance Optimization Engineer (RISC-V): Optimizing software workloads across Java, Python, PHP, Node.js, Lua, Go, and Rust for next-generation RISC-V platforms with an accent on runtime, compiler, memory, concurrency, and hardware-aware performance tuning. Focus on profiling real-world datacenter and agentic AI applications, leveraging RISC-V Vector/Matrix capabilities and custom instructions, and building AI-assisted optimization workflows.

Location: Remote, based out of North America; listed locations include Santa Clara, California, United States and Toronto, Ontario, Canada.

Company

Tenstorrent develops AI computing platforms combining software, compilers, networking, high-performance RISC-V CPUs, and semiconductor technology.

What you will do

  • Optimize modern datacenter and agentic AI workloads across Java, Python, PHP, Node.js, Lua, Go, and Rust.
  • Profile real-world applications, identify bottlenecks, and improve throughput, latency, and efficiency.
  • Bring up and tune runtimes while investigating memory behavior, concurrency, garbage collection, and CPU performance.
  • Develop software, compiler, runtime, and hardware-aware optimizations for RISC-V platforms.
  • Explore RISC-V Vector, Matrix, and custom instruction capabilities for workload acceleration.
  • Collaborate with compiler, runtime, systems software, hardware, and performance modeling teams.

Requirements

  • Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
  • Strong experience in performance optimization, computer architecture, compilers, or systems software.
  • Hands-on experience with runtime or compiler optimization, such as OpenJDK/JIT, LLVM, GCC, V8, or Python.
  • Strong understanding of CPU performance, memory hierarchies, concurrency, garbage collection, vector/SIMD optimization, and RISC-V architecture.
  • Experience with Linux perf, runtime profilers, QEMU, tracing tools, or performance modeling environments.
  • Strong programming skills in Java, Python, C/C++, and RISC-V assembly.

Nice to have

  • Experience using AI-assisted development and automated workflows for profiling, coding, benchmarking, and optimization.
  • Experience optimizing software on RISC-V or another modern CPU architecture.

Culture & Benefits

  • Collaborative environment focused on curiosity and solving technically difficult problems.
  • Opportunity to influence both the RISC-V software ecosystem and future CPU architecture.
  • Competitive compensation package and benefits.
  • Equal opportunity employment.
  • Employment is subject to eligibility to access U.S. export-controlled technology.

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