Physical Design Engineer
About the job
- The candidate must have a B.Tech or M.Tech in Electrical or Electronics Engineering from a top-tier university.
- The candidate must have 2–4 years of hands-on physical design experience in the semiconductor industry.
- The candidate must have expert-level proficiency with industry-standard tools.
- The candidate must understand multi-corner multi-mode closure, low-power design techniques using UPF/CPF, and physical verification.
- The candidate must be diligent, detail-oriented, and able to take ownership of blocks under tight deadlines.
- Drive RTL-to-GDSII implementation, including floorplanning, placement, clock tree synthesis, routing, and physical verification (LVS/DRC/ERC).
- Execute high-performance design closure focused on power, performance, and area targets in advanced process nodes of 3 nm or below.
- Perform comprehensive timing closure, including signal integrity, crosstalk analysis, and common path pessimism removal optimization.
- Conduct static and dynamic IR-drop analysis and electromigration checks to ensure robust power delivery.
- Develop and integrate AI/ML-based automation scripts to optimize the physical design flow and reduce turnaround time.
- Proficiency in Innovus is preferred.
- Proficiency in Python or Tcl and experience using AI/ML models for electronic design automation tool automation or predictive power, performance, and area analysis are a plus.
About the company
EnCharge AI develops hardware and software for artificial intelligence computation, ranging from edge devices to cloud servers. The company utilizes analog in-memory computing through chiplets, ASICs, and PCIe cards to process AI tasks directly within memory, which reduces the power and space required for complex calculations. Unlike competitors using traditional digital methods, EnCharge AI offers significantly lower CO2 emissions and a lower total cost of ownership by integrating its specialized technology into the existing semiconductor supply chain. The company's goal is to democratize advanced AI by making it economically viable and sustainable for businesses to solve large-scale human challenges.
Company Size
51-200
Company Stage
Series B
Total Funding
$162.9M
Headquarters
Santa Clara, California
Founded
2022
Get referred to EnCharge AI
See people who can refer or advise you
Simplify's Take
What believers are saying
- EN100 launched May 29, 2025 for laptops, workstations, and edge devices.
- Fast Company recognized EnCharge in 2026 World Changing Ideas, boosting brand visibility.
- Samsung Ventures, Foxconn-linked HH-CTBC, RTX Ventures, and Princeton expand distribution and partnerships.
What critics are saying
- EN100 lacks independent benchmark validation against Nvidia and AMD as of launch.
- Round 1 early access is full, but commercial scale still depends on OEM adoption.
- Analog compute commercialization has execution risk; one silicon bug can delay 2025 revenue.
What makes EnCharge AI unique
- EN100 uses analog in-memory computing for 200+ TOPS at 8.25W.
- Tiger Global led EnCharge's $100M Series B on February 13, 2025.
- DARPA's OPTIMA grant with Princeton validates EnCharge's technical credibility and defense relevance.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Health Insurance
- 401(k) Retirement Plan
- Remote Work Options