Datacenter & Agentic AI Workload Performance Analysis Engineer

Job summary

Responsibilities

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

• How real-world datacenter and agentic AI workloads influence CPU microarchitecture and architectural decisions.
• How to connect workload characterization and performance modeling to CPU design, RTL implementation, emulation, and silicon.
• How hardware/software co-design can improve CPU throughput, scalability, and performance-per-watt efficiency.
• How to analyze complex production workloads and reduce them into representative workloads and traces for architectural exploration.
• How emerging RISC-V capabilities, cloud infrastructure, compiler technology, and AI software stacks are shaping the future of high-performance.

What they're looking for

• You have a strong background in CPU performance analysis, workload characterization, or computer architecture, with experience connecting software behavior to hardware performance.
• You understand modern CPU microarchitecture, including superscalar pipelines, speculative execution, memory hierarchies, and vector/SIMD architectures.
• You enjoy digging into complex workloads, using profiling and simulation data to identify bottlenecks and turn analysis into actionable recommendations.
• You’re comfortable working across hardware and software, from CPU microarchitecture and RTL to operating systems, compilers, runtimes, and applications.
• You’re a strong technical communicator who enjoys collaborating with architects, designers, and software engineers on complex performance problems.

Tech stack

• C++
• Python