Вакансия дает редкий практический опыт на стыке программных нагрузок и разработки RISC-V процессоров в AI-продуктовой компании, но широкий диапазон оплаты и ограничения по экспортному контролю оставляют неопределенность по конкретному предложению и доступу к работе.
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Разброс оплатыОграничения доступаАктуальные технологииAI-железоПонятные задачи
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Hirify AI/Оригинал
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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