Google

Software Engineer, GenAI Silicon Automation, DeepMind

Google$174K — $252K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience
  • 5 years of software development experience in C
  • 3 years of experience in software testing, maintenance, or launch
  • 1 year of software design and architecture experience
  • Experience with MLIR or CIRCT compiler infrastructures (preferred)
  • Familiarity with digital design principles (RTL, Verilog, or SystemVerilog) (preferred)

Responsibilities

  • Architect, scale, and maintain custom multi-agent orchestration systems
  • Design and maintain evaluation suites for complex hardware design tasks
  • Engineer modular carve-outs of existing flows for downstream use
  • Build and optimize hardware compilation pipelines in MLIR/CIRCT
  • Integrate agentic flows with physical synthesis tools like OpenRoad and FusionCompiler

Benefits

  • Comprehensive benefits package including health insurance
  • Retirement savings plans with company matching
  • Generous paid time off and holiday policies
  • Opportunities for professional development and growth
  • Collaborative work environment with a focus on innovation
Full Job Description
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
Bridges the velocity gap between rapidly evolving ML models and static 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 (from chips to datacenters) is a plus, but it is not a requirement.

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.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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