> Markdown version of [/jobs/ext/2039261-emulation-front-end-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/2039261-emulation-front-end-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Emulation Front-End Infrastructure Engineer - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Experienced - **Salary:** $136,000.0 - $218,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Engineering, Software Debugging, Electronic Design Automation, Perl (Programming Language), Emulators, Make (Software), Hardware Description Language, Hardware Design, Python (Programming Language), Perforce, Shell Script, SystemVerilog, Tcl (Programming Language), Verilog, Scripting, Large Language Models, Git, Slurm, Front End Software Development - **Published:** August 12, 2026 - **Apply:** https://www.disabledperson.com/jobs/74201940-emulation-front-end-infrastructure-engineer ## About the Role * A BS degree in Electrical Engineering, Computer Engineering, or a related field (or equivalent experience) with 5+ years of relevant experience; or an MS degree in a related field with 3+ years of relevant experience. * Experience with RTL compilation, synthesis, front-end design implementation, and flow automation. * Working proficiency in Verilog and SystemVerilog, including the ability to read, debug, and modify RTL for emulation needs. * Strong understanding of RTL elaboration, synthesis, logic optimization, and front-end design methodologies. * Hands-on experience with front-end synthesis and compilation EDA tools, including Synopsys Design Compiler, ZeBu Compiler, and Cadence HDL-ICE. * Strong automation and scripting skills in Python, Perl, Tcl, shell scripting, and Makefile-based flows. * Experience running high volumes of jobs on distributed compute farms using workload schedulers such as LSF or Slurm, and using revision-control systems such as Perforce or Git. * Strong debugging, problem-solving, communication, and cross-functional collaboration skills. Ways to stand out from the crowd: * Experience with hardware-emulation compilation flows and runtime bring-up or debugging is a plus! * Deep expertise with Synopsys Design Compiler, ZeBu Compiler, and Cadence HDL-ICE. * Experience building scalable regression, reporting, monitoring, and flow-debug infrastructure. * Experience building AI/LLM agents or automation that can classify tool logs, diagnose failures, and drive automated recovery. * Experience partnering directly with EDA vendors to resolve complex tool, methodology, or performance issues. ## Description * Own and evolve front-end compilation, synthesis, and flow infrastructure for NVIDIA hardware emulation platforms. * Develop, maintain, and automate robust compilation and synthesis flows using scripting and industry-leading EDA tools. * Run, analyze, and debug regular compilation and synthesis regressions; help maintain RTL design stability in close partnership with logic designers. * Explore and apply AI techniques to improve flow automation, triage compilation failures, identify recurring failure patterns, and accelerate root-cause analysis. * Evaluate, deploy, and support EDA tools and methodologies for front-end implementation and emulation compilation. * Diagnose complex compilation, elaboration, synthesis, and implementation issues, working closely with internal design teams and EDA vendors. * Improve flow performance, reliability, scalability, usability, and observability across a large-scale hardware development environment. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Nemotron: NVIDIA's open model strategy for developers](https://www.wearedevelopers.com/videos/100064-nemotron-nvidia-s-open-model-strategy-for-developers) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Your Next AI Needs 10,000 GPUs. 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