Be an early applicantLess than 25 applicants

Company

Recogni · 6 hours ago

Sr EDA Workflow Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

Maximize your interview chances

Artificial Intelligence (AI)Autonomous Vehicles

H1B Sponsor Likely

Insider Connection @Recogni

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Lead EDA tools and associated engineering workflow development for Recogni’s multimodal generative AI inference acceleration products.

Guide and assist colleagues to improve and invent EDA workflows 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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

ASIC engineering experienceVLSI/SoC designEDA tools SynopsysEDA tools CadenceSystemVerilogC/C++PerlTCLPythonCI/CDGit Branching workflowsLinux system administrationCloud-based devopsEDA workflows supportMaster's degree

Required

10+ years of hands-on ASIC engineering experience, that includes deep 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.

Strong 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.

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.

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.

Expert level knowledge of Linux system administration and familiarity with cloud-based devops (IaC, CaC, etc.), with experience in supporting EDA tools in a cloud-based environment (as opposed to on-premises).

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

Flexible spending

Bonusly awards

Company

Recogni

Recogni is a system solution company that specializes in the design of high-performance, low-power AI inferencing

Founded in 2017

San Jose, California, USA

51-200 employees

https://recogni.com

H1B Sponsorship

Recogni has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (3)

2022 (4)