We are seeking a highly motivated and passionate CPU Architect to join our processor architecture team, focusing on the CPU’s load-store unit. In this role, you will contribute to the design, analysis, and optimization of cutting-edge CPU architectures with an emphasis on a high-performance load-store unit. This is an excellent opportunity to work alongside world class architects in high-performance computing and processor design.

This role is Remote, based out of The United States.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Responsibilities:

• Drive the architecture, micro-architecture, design and optimization of the CPU load-store unit for Tenstorrent’s high-performance out-of-order RISCV CPUs
• Propose new implementations to optimize load-store PPA
• Perform simulations, modeling, and performance analysis of advanced CPU features and state-of-the-art data prefetchers
• Collaborate with hardware and software teams to optimize memory access patterns and system performance.
• Stay up to date with industry trends and emerging technologies in CPU architecture and the memory subsystem
• Support documentation and presentation of architectural decisions, trade-offs, and findings.

Experience & Qualifications:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science (or equivalent experience).
• Strong understanding of computer architecture fundamentals, including memory hierarchy, cache coherence, and data prefetching
• Familiarity with performance modeling and simulation tools (e.g., Gem5, SimpleScalar, or similar).
• Basic knowledge of hardware description languages (e.g., Verilog, VHDL) and system-level programming (C, C++).
• Problem-solving skills and ability to analyze complex system interactions.
• Excellent communication and teamwork abilities.
• Hands-on experience with performance profiling tools and benchmarking methodologies.
• Exposure to parallel processing architectures and multi-core systems.

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.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking an AI Performance Simulation Architect to help shape the future of our AI computing.  In this role, you’ll architect and build scalable cycle-accurate AI accelerator performance models that can run representative AI workloads.  Your work will directly inform how we design and optimize future hardware platforms, from high-level performance models to cycle-accurate simulations.

This role is remote, based out of North America.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You’re a senior technical leader with deep experience in AI accelerator architecture and micro-architecture, performance simulation, and system-level modeling.
• You’re comfortable switching between abstraction layers—from C++ performance models to software frameworks and system requirements.
• You have a strong grasp of AI workloads and how to distill them into inputs for performance models.
• You understand how system design affects the performance and scalability of AI workloads.
• You collaborate well across hardware, software, and research domains—and enjoy mentoring others along the way.

What We Need

• Architect and develop simulation environments for AI systems—spanning accelerators, NoCs, and memory hierarchies.
• Define and implement abstraction layers, from high-level analytical models to detailed simulations using tools like GEM5 or SST.
• Lead performance modeling and bottleneck analysis to guide architectural design and system optimization.
• Lead integration of the AI accelerator performance model into a larger heterogeneous simulation modeling environment to examine system performance.
• Deep experience with parallel programming (OpenMP, MPI, CUDA, OpenCL) and system analysis tools.

What You Will Learn

• How Tenstorrent is building next-gen AI infrastructure at datacenter scale.
• How to influence silicon and system-level decisions using simulation-driven insights.
• How to collaborate with vendors and technology partners to assess emerging processors, accelerators, and interconnects.
• How to bridge simulation and deployment by working across hardware, dev tools, software stacks, and customer use cases.

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.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.