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Workload Performance Optimization Engineer at Tenstorrent - ApplyBlast

Workload Performance Optimization Engineer

Tenstorrent

15 days ago

3.6 on Glassdoor

Remote

Full Time

Medior

0 applicants

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About this role

Tenstorrent is seeking a Workload Performance Optimization Engineer to optimize software workloads on next-generation RISC-V platforms, focusing on datacenter and agentic AI applications. The role involves identifying performance bottlenecks and developing software, compiler, runtime, and hardware-aware optimizations to improve throughput, latency, and efficiency. This position sits at the intersection of software runtimes, compilers, CPU microarchitecture, and RISC-V silicon.

Responsibilities

Optimize software workloads on next-generation RISC-V platforms
Identify performance bottlenecks and develop software and hardware-aware optimizations
Profile real-world applications and investigate memory and concurrency behavior

Skills

Qualifications

Master's degreePhD

About Tenstorrent

tenstorrent.com

Headquarters

Toronto, Ontario, Canada

Company Size

201-500 employees

Founded

2016

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Tenstorrent is a next‑generation computing company that builds computers optimized for AI workloads. They design AI silicon and systems—leveraging RISC‑V, custom ASICs, and advanced architecture—alongside neural‑network compilers and software to accelerate training and inference. Headquartered in the U.S. with offices in Austin and Silicon Valley and global teams in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together expertise in computer architecture, ASIC design, and compiler technology. Their hardware‑plus‑software approach targets developers, researchers, and enterprises needing scalable, efficient AI compute.