Google Hiring: ASIC Design Lead – Machine Learning, Silicon | Bengaluru
Are you ready to lead the charge in designing cutting-edge custom silicon that powers some of the most advanced AI systems in the world? Google is inviting experienced professionals to apply for the position of ASIC Design Lead – Machine Learning, Silicon based in Bengaluru, India. This is your opportunity to join a world-class engineering team and contribute to the development of the next generation of machine learning hardware at scale.
🚀 About the Role
At Google, we believe that ground-breaking innovation begins with people who dare to think differently. As an ASIC Design Lead, you will play a pivotal role in conceptualizing and leading the design of complex machine learning compute IPs, such as Neural Processing Units (NPUs), GPUs, DSPs, and other high-performance computing systems that define future Google devices.
The position is housed within Google’s Devices & Services team, a multi-disciplinary group that combines AI, software, and hardware to create seamless experiences for end users. This is more than just a job—it’s an opportunity to shape the future of AI-driven computing devices and contribute to Google’s mission of making information universally accessible and useful.
📍 Location
Bengaluru, Karnataka, India
Full-Time | On-Site/Hybrid Options
✅ Minimum Qualifications
To be eligible for this leadership role, candidates must possess the following:
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A Bachelor’s degree in Electrical Engineering, Computer Science, or a related discipline.
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At least 10 years of hands-on experience in RTL design for high-performance compute IPs.
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Proven track record of leading teams through the complete development lifecycle of SoC subsystems—from architecture definition to silicon tape-out.
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Experience collaborating across domains such as Software, Architecture, Design Verification, and SoC Integration.
🎯 Preferred Qualifications
While not mandatory, the following qualifications will provide a competitive edge:
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Master’s degree or PhD in Electrical Engineering, Computer Science, or relevant technical fields.
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Demonstrated proficiency across engineering domains, including microarchitecture, design verification, emulation, and silicon bring-up.
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Deep expertise in Neural Processing Units (NPUs), Graphics Processing Units (GPUs), and Digital Signal Processors (DSPs).
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Familiarity with power optimization techniques and performance-driven design.
🧠 About the Team: Google Devices & Services
The Devices & Services division at Google focuses on integrating cutting-edge technologies into meaningful, consumer-facing experiences. Whether it’s delivering seamless smart home integration, enabling advanced AI capabilities on edge devices, or optimizing form factors for performance and portability, this team is redefining the relationship between humans and technology.
As an ASIC Design Lead in this team, you will work on some of the most sophisticated hardware systems in the market, aimed at revolutionizing computing interactions across personal and professional use cases.
🛠️ Key Responsibilities
As the ASIC Design Lead, your role will extend beyond technical contribution—you will be a strategic leader, mentor, and collaborator. You’ll manage a team of highly skilled engineers and be responsible for end-to-end execution of machine learning silicon designs.
1. Lead RTL Design Initiatives
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Drive the design and development of high-performance machine learning compute IPs.
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Interpret architecture specifications and translate them into implementable RTL designs.
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Work closely with architecture and software teams to define and refine product requirements.
2. Manage and Mentor Engineering Teams
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Lead, inspire, and mentor a team of RTL engineers, ensuring clear communication, goal alignment, and technical excellence.
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Conduct design reviews, manage timelines, and remove execution bottlenecks.
3. Collaborate with Cross-Functional Teams
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Interface with Verification, Silicon Validation, and SoC Integration teams to ensure a seamless design-to-silicon flow.
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Collaborate with physical design teams to meet Power, Performance, and Area (PPA) targets.
4. Drive Innovation in Machine Learning Hardware
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Introduce and implement advanced techniques to optimize silicon performance for AI/ML workloads.
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Contribute to architecture discussions and help shape future technology roadmaps.
5. Ensure End-to-End Execution to Tape-Out
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Take ownership of the design lifecycle, from conception to tape-out, including synthesis, timing closure, and signoff.
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Identify and mitigate risks early through simulation, emulation, and analysis.
🔍 What Makes This Role Unique?
The ASIC Design Lead position is not your average engineering leadership job—it combines the strategic impact of product development with the intellectual rigor of silicon engineering. Here’s what sets it apart:
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Strategic Impact: Your designs will be embedded in devices used by millions, powering real-time AI workloads and enhancing user experiences globally.
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Technical Depth: You will work on silicon IPs at the forefront of machine learning, enabling complex compute functionalities in ultra-compact form factors.
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Cross-Functional Leadership: From hardware and software to architecture and testing, you’ll orchestrate collaboration across disciplines.
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Scalable Innovation: Your contributions will extend beyond a single device or platform. You’ll help shape a reusable silicon architecture foundation for future Google products.
🔑 Skills and Attributes for Success
To excel in this role, you’ll need a mix of technical mastery and leadership finesse:
✔️ Technical Expertise
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Deep understanding of RTL design, SoC architecture, and system integration.
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Proficiency with industry-standard tools like Verilog, SystemVerilog, and synthesis tools.
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Experience optimizing for PPA across multiple process nodes and foundries.
✔️ Leadership & Mentorship
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Ability to guide junior engineers, conduct effective code reviews, and foster an inclusive culture of excellence.
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Experience managing complex project schedules, balancing trade-offs between quality and time-to-market.
✔️ Communication & Collaboration
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Clear, concise communicator able to align stakeholders across engineering, product, and executive teams.
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Strong interpersonal skills with a focus on problem-solving and consensus-building.
🌐 Google’s Vision for Custom Silicon
Google’s investment in custom silicon isn’t just about performance—it’s about building hardware that thinks, adapts, and anticipates user needs in real time. From Tensor Processing Units (TPUs) in data centers to embedded NPUs in mobile devices, Google’s hardware ambition is focused on enabling intelligent computing everywhere.
The ASIC Design Lead – Machine Learning, Silicon is central to this mission, working at the core of hardware innovation that unlocks AI for billions of users.
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🧾 How to Apply
If you’re excited about the opportunity to transform the future of machine learning through innovative hardware solutions, apply today via the Google Careers Portal. Tailor your resume to highlight your experience in SoC architecture, RTL design, leadership, and silicon development lifecycle.
Be sure to include:
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Major projects or IPs you’ve led to tape-out
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Experience with AI/ML hardware or compute IP
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Metrics showcasing PPA optimization
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Leadership accomplishments and cross-functional collaboration examples
🌟 Final Thoughts
This is more than a job—it’s your opportunity to lead a transformational effort at one of the world’s most innovative companies. As ASIC Design Lead – Machine Learning, Silicon at Google, you’ll be working with top-tier talent, cutting-edge technology, and a mission that reaches billions.
Join Google in reimagining what’s possible in custom silicon. Your next great career move starts here.