Principal CAD Engineer

🕒 July 27

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

Cloud

Node.js

Perl

Python

Shell Scripting

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Logo of TYLsemi

TYLsemi

11 - 50 employees

Founded 2026

🔧 Hardware

🤖 Artificial Intelligence

🤝 B2B

Hardware • Artificial Intelligence • B2B

TYLsemi is a chiplet-first silicon company focused on AI infrastructure solutions. It provides production-ready, validated chiplets and a unified platform to take designs from architecture to deployed silicon, enabling faster, lower-risk development of AI systems. TYLsemi's offerings (branded TYL. IO, TYL. Power, TYL. Forge) target critical AI infrastructure functions—XPUs, switches, connectivity, power, and system scaling—and it also offers chiplet-enabled custom silicon, packaging, and manufacturing integration. The company promotes up to ~50% faster development and reduced costs, and recently raised $43M in an oversubscribed early-stage funding round.

📋 Description

• Architect, develop, and maintain scalable CAD flows for synthesis, physical design, STA, low-power verification, and signoff. • Drive automation and methodology improvements to enhance design efficiency, runtime, and QoR. • Collaborate with design, verification, DFT, and implementation teams to understand flow requirements and deployment challenges. • Debug complex flow, tool, and infrastructure-related issues across project execution. • Integrate and qualify new EDA tool releases and advanced node methodologies. • Develop automation scripts, regression environments, dashboards, and flow monitoring infrastructure. • Work with foundries and EDA vendors on technology enablement and issue resolution. • Mentor engineers and establish CAD best practices across teams.

🎯 Requirements

• Bachelor’s or Master’s degree in Electronics, Computer Engineering, VLSI, or related field. • 10+ years of experience in CAD engineering, physical design methodology, or EDA flow development. • Strong expertise in ASIC/SOC implementation flows including synthesis, P&R, STA, physical verification, and low-power methodologies. • Hands-on experience with industry-standard EDA tools such as Cadence, Synopsys, and Siemens EDA tool suites. • Strong programming and scripting skills in Tcl, Python, Perl, and Shell scripting. • Experience with distributed computing environments, regression frameworks, and infrastructure management. • Strong debugging, analytical, communication, and stakeholder management skills. • Good to Have: Experience with cloud-enabled EDA infrastructure and workload management systems. • Good to Have: Exposure to AI/ML-driven CAD optimization methodologies. • Good to Have: Knowledge of advanced technology nodes (5nm/3nm) and multi-die design flows.

🏖️ Benefits

• Remote-Friendly, Global Team • Move Fast, Ship Real Products

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