Software Engineer, GenAI Silicon Automation, DeepMind

Google DeepMind; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind is seeking software engineers to automate the silicon lifecycle by bridging ML models and hardware design cycles. You will work on multi-agent orchestration, AI-driven CAD workflows, and integration with OpenRoad, Yosys, ABC, and FusionCompiler to drive scalable hardware synthesis.

Experience in machine learning systems and hardware design is a plus. The team emphasizes research-driven engineering and impactful, collaborative work across Alphabet.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Responsibilities

• Architect, scale, and maintain our custom multi-agent orchestration systems and execution coordinators.
• Design and maintain high-fidelity evaluation suites representing complex hardware design tasks.
• Engineer modular carve-outs of our flow to run as standalone tools within downstream customer environments.
• Build and optimize hardware compilation pipelines in MLIR/CIRCT, translating agentic intent into physical hardware IR.
• Connect our agentic flow to physical synthesis tools including OpenRoad, Yosys, ABC, and FusionCompiler.

Skills

C++ development

Education

Bachelor’s degree or equivalent practical experience

Tools

MLIR/CIRCT

FusionCompiler

Yosys/OpenRoad/ABC

CI/CD tooling

RTL/Verilog/SystemVerilog

Job description

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications

• Experience with MLIR or CIRCT compiler infrastructures, and writing custom compiler passes or working with High-Level Synthesis.
• Experience with scripting automation, working with tool Application Programming Interfaces (APIs), and sandbox execution.
• Experience with proprietary production tools (e.g., FusionCompiler), physical design Power, Performance, and Area (PPA) closure, and open source software (OSS) synthesis toolchains (e.g., Yosys, OpenRoad, or ABC).
• Familiarity with multi-agent design patterns, tool-use loops, and code-generation models.
• Familiarity with containerization, reproducible execution environments, and Continuous Integration and Continuous Delivery (CI/CD) infrastructure.
• Familiarity with digital design principles (RTL, Verilog, or SystemVerilog).

About The Job

Bridge the velocity gap between rapidly evolving ML models and hardware design cycles by automating the entire silicon lifecycle. We aim to transform hardware design into a continuous, agent-driven process.

We are working at the intersection of machine learning for systems and hardware design for machine learning accelerators. We conduct applied research and development in multiple areas of machine learning, operation research, compiler construction, hardware design and synthesis, in collaboration with product teams across Alphabet.

We are looking for software engineers who are passionate about building infrastructure for hardware design tools. In this role, you will be part of a research team conducting exploratory research and engineering towards designing systems using AI. You will have an opportunity for a strong impact. Knowledge or prior experience in hardware design and/or AI is a plus, but it is not a requirement.

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

Responsibilities

• Architect, scale, and maintain our custom multi-agent orchestration systems and execution coordinators.
• Design and maintain high-fidelity evaluation suites (evalsets) specifically representing complex hardware design tasks, spanning both high-level design specification inputs and physical synthesis tool runs.
• Engineer modular carve-outs of our flow to run seamlessly as standalone tools within downstream customer environments.
• Build and optimize hardware compilation pipelines in MLIR/CIRCT, translating agentic intent into physical hardware IR.
• Connect our agentic flow to physical synthesis tools including OpenRoad, Yosys, ABC, and FusionCompiler.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.