Tensordyne · 8 months ago
Sr. ASIC EDA Workflow Engineer
Recogni is a system solution company that specializes in the design of high-performance, low-power AI inferencing. In this hands-on, technology leadership role, you will lead EDA tools and DevOps systems for AI inference acceleration products, while guiding your ASIC team to enhance their workflows and EDA needs.
Artificial Intelligence (AI)SemiconductorSoftware
Responsibilities
Lead EDA tools, DevOps systems, and associated engineering workflow development for Recogni’s multimodal generative AI inference acceleration products
Guide and assist colleagues to improve and invent EDA workflows and DevOps systems within a fast-paced, agile HPC development environment
Drive Recogni’s optimization, implementation and exploration of new EDA tools and technologies for the full ASIC chip design process
Continuously innovate and improve scalable, reliable, high-performance systems and tools to enable the next generation of Recogni products
Work closely with ASIC team members engaged in the design and verification of Recogni products to understand and improve their workflows and EDA needs
Qualification
Required
10+ years expert level knowledge of Linux system administration and familiarity with cloud-based devops (IaC, CaC, etc.), with experience in supporting EDA tools in a primarily cloud-based environment (as opposed to primarily on-premises)
Experience leading the development and support for compilation, build automation, testing, packaging and installation project generators that build object files like either CMake, GNU make, and/or Ninja, as well as experience with CI/CD and modern Git Branching workflows
Hands-on ASIC engineering experience, that includes knowledge of VLSI/SoC chip design and verification workflows, with ASIC EDA tool suites from Synopsys and/or Cadence, for physically-aware logic synthesis, RTL and gate-level simulation, structural analysis (CDC, RDC, etc.) and lint tools, ECO creation and LEC tools, and other commonly-used parts of the ASIC development ecosystem
Programming and debugging skills with SystemVerilog as well as with key languages to automate tasks and improve efficiency like C/C++, Perl, TCL and Python, with experience developing tools for design verification scripting as well as HDL code generators and scripts for creating hard macros from higher level descriptions
Prior work experience with onboarding and supporting ASIC engineers with EDA workflows, including installation of new tool versions, FlexLM license management, and debugging/fixing issues with EDA vendors
Excellent analytical, written, and verbal interpersonal skills along with an ability to productively collaborate within a global engineering team that moves at a startup pace
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering or a related technical field
Benefits
Comprehensive benefits
Competitive compensation
Flexible spending
Bonusly awards
Company
Tensordyne
Math, Chips, and Systems for AI Inference.
Funding
Current Stage
Growth StageTotal Funding
$211.05MKey Investors
Premji InvestHSBC Innovation BankingCelesta Capital
2025-07-28Series C· $35M
2024-02-20Series C· $102M
2024-02-20Debt Financing
Recent News
2025-09-17
High-Performance Computing News Analysis | insideHPC
2025-06-01
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