[Hiring] Principal ASIC Architect @Tensordyne

Role Description

In this role, you will lead all phases of ASIC architecture definition and design of Tensordyne’s next-generation family of processors for generative AI inference acceleration. This is an exciting opportunity that involves:

• High-level silicon architecture planning
• Hands-on design and prototyping of ASIC design concepts
• Mentoring and technical leadership
• Delivering high-performance multi-chip silicon solutions for data centers

What You'll Do

• Lead the architectural planning and definition of new Tensordyne AI processors, including:
  • Highly specialized floating point AI compute cores
  • Embedded memory
  • Embedded RISC-V CPU cores
  • High speed serial communications with chip-to-chip networking fabric, HBM, and PCIe connectivity
• Analyze technical needs and propose chip design solutions
• Create detailed design specifications and lead architectural modeling
• Establish ASIC development milestones to ensure product requirements are met
• Work closely with external engineering partners and various teams, providing technical guidance and overseeing design reviews
• Lead the evaluation of new silicon IP technologies, EDA tools, and methodologies

Qualifications

• 15+ years of hands-on experience in silicon design engineering and architectural planning of high performance compute (HPC) processors
• Strong understanding of generative AI algorithms and mapping these functions to hardware
• Strong Verilog programming skills and experience with RTL verification and performance modeling
• Track record of developing architectural C-models, SystemC, or TLM
• Expert-level skills in C/C++ and scripting languages like Python or Perl
• An MS or PhD in Electrical Engineering, Computer Engineering or related engineering discipline

Requirements

• Occasional travel needed to interact with global engineering partners

Company Description

Tensordyne (formerly Recogni) builds high-performance, low-power generative AI inference systems. We leverage novel techniques from the latest AI research to build custom silicon, hardware, and software to accelerate multimodal generative AI at scale.

• Headquartered in Sunnyvale, CA, and Munich, Germany
• Remote team members across North America and Europe
• Well-funded, fast-moving startup
• Supports competitive pay, comprehensive benefits, flexibility, and recognition programs