
Organizing the world's information and making it universally accessible.
ASIC RTL Engineer, Integration
Benefits and perks
•Learning Budget
•Equity
•Parental Leave
Required skills
Python
Node.js
React
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
-
Work on a team of Register-Transfer Level (RTL) engineers with Internet Protocol (IP)/Subsystem development. Plan tasks, build subsystems, run quality flows, create automation, hold code and design reviews, code development of features in the IP/Subsystem.
-
Interact with the architecture team and develop implementation (e.g., micro-architecture and coding) strategies to meet quality, schedule and Power Performance Area (PPA) for the IP.
-
Work with the cross-functional team of Verification, Design for Test, Physical Design and Software teams to make design decisions and represent project status throughout the development process.
Minimum qualifications
-
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
-
8 years of experience with digital reasoning design principles, RTL design concepts, and languages like Verilog or System Verilog.
-
Experience with micro-architecture and coding in one or more of these areas: memory compression, interconnects, coherence, cache, Dynamic Random Access Memory (DRAM) controller, Physical Layer Devices (PHYs).
-
Experience in performance design, multi power domains with clocking.
-
Experience with multiple System on a chip (So Cs).
Preferred qualifications
-
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science.
-
Experience with micro-architecture design, with the knowledge of system design to develop IPs with PPA.
-
Experience with multiple quality checks performed at front-end (e.g., Lint, CDC/RDC, Synthesis, LEC, etc.).
-
Experience with chip design flow, with the knowledge of cross-domain involving Design Verification (DV)/Design for Testability (DFT)/Physical Design/Software.
Total Views
0
Total Apply Clicks
0
Total Mock Apply
0
Total Bookmarks
0
Similar jobs

Frontend Software Engineer, ML Platform, Autopilot Infrastructure
Tesla · Palo Alto, California

Mobile App Engineer, Service & Roadside Assistance, Vehicle Software
Tesla · Palo Alto, California

Software Engineer, Mobile App, Vehicle Software
Tesla · Palo Alto, California

Frontend Software Engineer, Energy Residential
Tesla · Fremont, California

Senior Software Engineer – Golang (m/w/d) - Gigafactory Berlin-Brandenburg
Tesla · Grünheide (mark), Brandenburg
About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Mid/L4
Mid/L4 · Accessibility Analyst
1 reports
$214,500
total per year
Base
$165,000
Stock
-
Bonus
-
$214,500
$214,500
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
Latest updates
Our eighth generation TPUs: two chips for the agentic era - blog.google
blog.google
News
·
1w ago
Google Maps on Android Auto now shows bigger labels on streets along your route [Gallery] - 9to5Google
9to5Google
News
·
1w ago
Google to invest up to $40 billion in AI rival Anthropic - Reuters
Reuters
News
·
1w ago
Google to invest up to $40B in Anthropic in cash and compute - TechCrunch
TechCrunch
News
·
1w ago