Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

We are seeking a skilled and experienced High-Performance Computing (HPC) Architect to join our team. As an HPC Architect, you will play a crucial role in designing and implementing cutting-edge architectures for high-performance computing systems, enabling efficient and scalable computation for scientific, research, and data-intensive applications. You will collaborate closely with cross-functional teams, including hardware engineers, software developers, and domain experts, to deliver optimized solutions that meet the demanding requirements of HPC workloads.

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

 

Responsibilities:

  • Design and develop high-performance computing architectures that deliver exceptional computational performance, scalability, and energy efficiency.
  • Collaborate with hardware engineers to design and optimize the system's computational components, including processors, accelerators, interconnects, and memory subsystems.
  • Work closely with software developers to define and implement software frameworks, libraries, and tools that maximize performance and productivity on the target HPC architecture.
  • Conduct performance analysis, benchmarking, and modeling to identify performance bottlenecks, optimize system parameters, and guide architectural enhancements.
  • Define system-level requirements, including processing power, memory capacity, I/O bandwidth, and storage capabilities, and ensure compliance with industry standards and customer expectations.
  • Evaluate and select appropriate technologies, including processors, accelerators, and network fabrics, based on application requirements, performance characteristics, and cost considerations.
  • Collaborate with domain experts and application developers to understand the unique requirements of specific scientific, research, or data-intensive workloads and propose tailored architectural solutions.
  • Stay up-to-date with the latest advancements in HPC hardware, software, and industry trends to guide future system designs and technology adoption.
  • Work closely with vendors and suppliers to evaluate emerging HPC technologies, assess their suitability for specific applications, and negotiate supply agreements.
  • Provide technical guidance and mentorship to junior team members, fostering knowledge sharing and best practices within the HPC architecture domain.

 

Experience & Qualifications:

  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field. A Ph.D. is a plus.
  • Strong expertise in high-performance computing architecture design, including processors, accelerators, interconnects, and memory subsystems.
  • Proven experience in designing and optimizing HPC architectures for scientific, research, or data-intensive applications.
  • Proficiency in parallel programming models and frameworks, such as OpenMP, MPI, CUDA, or OpenCL, and their application to HPC workloads.
  • Solid understanding of performance analysis and optimization techniques for parallel computing, including profiling, tracing, and performance counters.
  • Familiarity with industry-standard interconnects and network fabrics, such as InfiniBand, Ethernet, or Omni-Path, and their impact on HPC system performance.
  • Knowledge of memory subsystems and memory hierarchy designs, including cache coherence protocols, memory models, and NUMA architectures.
  • Experience with HPC software stack components, such as compilers, runtime systems, job schedulers, and scientific libraries.
  • Strong programming skills in languages commonly used in HPC, such as C, C++, Fortran, or Python.
  • Excellent problem-solving abilities and the ability to analyze and address complex performance and scalability challenges.
  • Strong communication and collaboration skills to work effectively with cross-functional teams and domain experts.

 

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.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been sanctioned by the U.S. government.

As this position will have direct and/or indirect access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

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