Fabric SOC Architect

Tenstorrent$100K — $500K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in Electrical Engineering (EE), Electrical and Computer Engineering (ECE), Computer Engineering (CE), or Computer Science (CS)
  • Deep understanding of Network-on-Chip (NoC) topologies and traffic scheduling
  • Expertise in cache coherency protocols (AMBA CHI/AXI)
  • Proficiency in C/C++ programming for performance modeling
  • Familiarity with ML/AI traffic patterns is a strong plus

Responsibilities

  • Bridge software execution with silicon design to enhance SoC performance
  • Analyze workloads to extract architectural insights
  • Collaborate with cross-functional teams on performance architecture
  • Evaluate and optimize cache coherency protocols
  • Design data-driven strategies for improving high-performance systems

Benefits

  • Remote work opportunity based in the United States
  • Opportunities for professional growth across various experience levels
  • Engagement in cutting-edge AI and HPC technology
  • Access to advance best practices in performance modeling and architecture
  • Innovative work environment that impacts future hardware and software solutions
Full Job Description


At Tenstorrent, we're building cutting-edge hardware and software solutions that power AI, HPC, and general-purpose workloads. As a Performance Architect on our Platform Architecture team, you'll work across ML software stacks, compilers, CPU design, cache coherency protocols, and interconnect fabrics to shape the future of high-performance systems. This role is all about bridging software execution and silicon design-making data-driven decisions that directly influence our SoC performance.

This role isremote, 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.

Who You Are
  • Passionate about solving complex system-level performance problems.
  • Comfortable working across hardware and software boundaries.
  • Analytical and data-driven, with a talent for turning workloads into architectural insights.
  • Collaborative, thriving in cross-functional teams spanning compilers, CPU, and interconnect.
  • Excited to shape the future of AI/HPC platforms through performance architecture.


What We Need
  • BS/MS/PhD in EE, ECE, CE, or CS
  • Deep understanding of NoC topologies, routing algorithms, QoS, and traffic scheduling.
  • Expertise in cache coherency protocols (AMBA CHI/AXI) and modern memory/IO technologies (DDR, LPDDR, GDDR, PCIe, CCIX, CXL).
  • Proficiency in C/C++ programming, with experience in building efficient performance models.
  • Familiarity with ML/AI traffic patterns or formal verification of cache coherence protocols is a strong plus.


What You Will Learn
  • How real ML/AI traffic patterns influence SoC interconnect and cache design.
  • The art of balancing performance vs. complexity in coherence and memory hierarchies.
  • How performance models feed into CPU and accelerator microarchitecture decisions.
  • Best practices for correlating pre-silicon and post-silicon performance.
  • Cutting-edge approaches to integrating heterogeneous compute systems at scale.


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

About Tenstorrent

Tenstorrent is a semiconductor company that designs and develops computer processors for artificial intelligence and machine learning applications. The company's processors are designed to be energy-efficient and scalable, and are used by a range of businesses, from small startups to large enterprises. Tenstorrent was founded in 2016 and is headquartered in Toronto, Ontario.
Learn more about Tenstorrent
Size
51 employees
Industry
Founded
2016

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