About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.
Job Responsibilities and Description:
The Physical Design and Verification Engineer will be responsible for RTL to GDSII Physical Design Implementation, including Synthesis, Placement, Clock Tree Synthesis, Detailed Routing and Optimization, in addition to Physical Signoff Verification.
Required Qualifications:
- Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience.
- Minimum 5 years of experience in digital physical design and verification.
- Excellence in complete RTL to GDSII flow with strong experience in the usage of industry-standard Electronic Design Automation (EDA) tools for both physical design and timing signoff.
- Deep knowledge on industry standards and practices in physical design including physically-aware synthesis flow, floor-planning, and place & route, metal fill, chip finishing, signal integrity checks, and dynamic EMIR-Drop analysis, and formal ESD verification.
- Experience in Signoff ECO flow to fix timing, noise, IR-Drop and EMIR violations.
- Experience in physical design verification to debug LVS/DRC/PERC issues at the chip/block level using industry standard tools.
- Experience in developing automation flow and scripts using Python, Perl, Makefile, Tcl and UNIX shell.
Preferred Qualifications:
- Master of Science (M.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience.
- Experience working on physical design and implementation of complex ASIC systems at advanced technology nodes, preferably 16nm and below.
- Experience in DFT (Design For Test) flows and ATPG.
- Experience in I/O design flow in multi-voltage power domain.
- Experience in building chip floor-plan including pin placement, partitions and power grid.
- Experience in hierarchical synthesis, place-and-route and design closure to meet timing, area, and UPF-driven low power constraints.
- Experience with build tools such as CMake and Bazel.
- Experience with code coverage and regression setup.
Expected Compensation:
At Neuralink, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training.
California Base Salary Range:
$158,000—$243,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity + 401(k) plan *Temporary Employees & Interns excluded
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Top Skills
What We Do
Neuralink is a team of exceptionally talented people. We are creating the future of brain-machine interfaces: building devices now that will help people with paralysis and inventing new technologies that will expand our abilities, our community, and our world.
Our goal is to build a system with at least two orders of magnitude more communication channels (electrodes) than current clinically-approved devices. This system needs to be safe, it must have fully wireless communication through the skin, and it has to be ready for patients to take home and use on their own. Our device, called the Link, will be able to record from 1024 electrodes and is designed to meet these criteria.
