Datacenter & Agentic AI Workload Performance Analysis Engineer
Tenstorrent · Santa Clara, California, United States · North America
CHECKED 21H AGO
Infrastructureonsite$100k–$500k
At a glance
Highlights
- Shape next-gen RISC-V CPU performance for datacenter and agentic AI workloads.
- Turn profiling and simulation insights into CPU architectural improvements.
- Reduce large production workloads for performance modeling and exploration.
Ideal candidate
A curious performance-minded engineer who loves digging into complex workloads and bridging hardware and software. You enjoy collaborating with architects and software teams to turn analysis into better CPU designs.
Requirements
- PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field with experience in workload characterization or performance analysis
- Deep understanding of CPU architecture and RISC-V including pipelines, speculative execution and memory hierarchies
- Hands-on experience with performance analysis and simulation tools such as Linux perf, strace, QEMU or microarchitecture simulators
- Strong programming skills in C/C++, Python, Bash/Shell, and assembly or intrinsic programming near hardware/software boundary
- Strong understanding of systems software including operating systems, virtualization, compilers, runtimes and GNU/RISC-V ecosystems
- remote policy
- Remote based out of North America
Lab profile
About Tenstorrent
Builds high-performance RISC-V CPUs and AI accelerators with full-stack software for efficient AI computing.
What they build
- AI accelerators
- RISC-V CPUs
- AI software and compilers
Known for
- Custom RISC-V CPU development from scratch
- Full-stack AI hardware and software
- Performance, ease of use and cost efficiency
Key facts
- Founded in 2016
- Headquartered in Toronto, Canada
- Backed by Samsung and Hyundai Motor Group