Remote AI Workload Performance Engineer – RISC-V

Tenstorrent; Santa Clara (CA); Hybrid; USD 100.000 - 500.000; Vollzeit

Zusammenfassung

Tenstorrent is seeking a Datacenter & Agentic AI Workload Performance Optimization Engineer to optimize workloads on next‑gen RISC‑V platforms. You will identify bottlenecks and craft software, compiler, and hardware‑aware optimizations across runtimes and AI workloads.

The role sits remotely in North America and welcomes varied experience levels; offers are aligned to level during interviews. You’ll work with a forward‑looking team on performance and scalability challenges facing datacenter AI

Qualifikationen

• 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, such as OpenJDK/JIT, LLVM, GCC, V8, Python, or equivalent systems.
• Strong understanding of CPU performance, memory hierarchies, concurrency, garbage collection, vector/SIMD optimization, and RISC‑V architecture.
• Expertise with performance profiling and analysis tools such as Linux perf, runtime profilers, QEMU, tracing tools, and performance modeling environments.
• Strong programming skills in Java, Python, C/C++, and RISC‑V assembly, with the ability to work effectively across multiple software layers.

Aufgaben

• Optimize software workloads on next‑gen RISC‑V platforms and datacenter environments.
• Identify performance bottlenecks and implement software, compiler, runtime, and hardware‑aware optimizations.
• Profile real‑world applications and explore vector/SIMD and custom ISA optimizations.
• Collaborate across compiler, runtime, systems software, hardware, and performance modeling teams.
• Support AI‑assisted development and automated optimization workflows to accelerate performance engineering.

Kenntnisse

Performance optimization

RISC-V experience

Profiling

Cross-functional collab

CPU microarchitecture

Ausbildung

Master’s/PhD in Computer Engineering, Electrical Engineering, or Computer Science

Tools

Linux perf

QEMU

Tracing tools

Performance modeling

LLVM

Jobbeschreibung

Tenstorrent is seeking a Datacenter & Agentic AI Workload Performance Optimization Engineer to optimize workloads on next‑gen RISC‑V platforms. You will identify bottlenecks and craft software, compiler, and hardware‑aware optimizations across runtimes and AI workloads.

The role sits remotely in North America and welcomes varied experience levels; offers are aligned to level during interviews. You’ll work with a forward‑looking team on performance and scalability challenges facing datacenter AI