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Google Asic Design Engineer Jobs in Georgia (NOW HIRING)

Mentor and monitor work by other bridge engineers. Provide design oversight and perform quality ... Knowledge of AutoCAD, AASHTO BrR, AASHTO BrM, Google Earth, and SketchUp. * Expert level ...

As a Google SecOps Manager supporting Google SecOps engagements, you will contribute to high ... engineering, SIEM, SOAR, and automation development. You will design, implement, and optimize ...

Google AI Lead Architect

Atlanta, GA

$53.25 - $72.75/hr

Google AI Lead Architect/AI & Engineering: Join our AI & Engineering team in transforming ... Engineering as a Service provides complete design, implementation, and technology operations ...

Google AI Lead Architect

Atlanta, GA · On-site

$53.25 - $72.75/hr

Google AI Lead Architect/AI & Engineering: Join our AI & Engineering team in transforming ... Engineering as a Service provides complete design, implementation, and technology operations ...

Architect and Design distributed data processing solutions on Google Cloud Platform, BigQuery and DataFlow Collaborate with product managers, data scientists, business users and other engineers to ...

As a Google SecOps Manager supporting Google SecOps engagements, you will contribute to high ... engineering, SIEM, SOAR, and automation development. You will design, implement, and optimize ...

Google Cloud Architects

Atlanta, GA

$62.50 - $79.50/hr

Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical ... You will work on data migrations and transformational projects, and with customers to design large ...

Board Hardware Engineer

Duluth, GA · On-site

$113K - $150K/yr

MS-Office(Excel, Word, Visio), Google (Sheets, Docs) Desired Skills: * Experience using Python, C, TCL, VHDL, Verilog, Github * Microcontroller programming * High current DC/DC design and layout

Board Hardware Engineer

Duluth, GA

$113K - $150K/yr

MS-Office(Excel, Word, Visio), Google (Sheets, Docs) Desired Skills: * Experience using Python, C, TCL, VHDL, Verilog, Github * Microcontroller programming * High current DC/DC design and layout

Showing results 41-60

Google Asic Design Engineer information

See Georgia salary details

$79.4K

$126.8K

$170.6K

How much do google asic design engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for google asic design engineer in Georgia is $126,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $152,000.00 per year, depending on experience, location, and employer.

What is the difference between Google Asic Design Engineer vs Google FPGA Design Engineer?

AspectGoogle Asic Design EngineerGoogle FPGA Design Engineer
Required CredentialsBachelor's/Master's in Electrical Engineering or Computer Engineering; experience in ASIC designBachelor's/Master's in Electrical Engineering or Computer Engineering; FPGA design experience
Work EnvironmentDesigning custom silicon chips for Google productsDeveloping and testing FPGA prototypes for hardware acceleration
Employer & Industry UsagePrimarily in semiconductor and hardware design teams at GoogleHardware prototyping and acceleration teams at Google

The main difference between a Google Asic Design Engineer and a Google FPGA Design Engineer lies in their focus: ASIC engineers design custom chips for optimized performance, while FPGA engineers develop flexible hardware prototypes using field-programmable gate arrays. Both roles require strong electrical engineering skills but serve different stages of hardware development.

How does a Google ASIC Design Engineer typically collaborate with cross-functional teams during the chip development process?

As a Google ASIC Design Engineer, you will work closely with teams such as architecture, verification, software, and hardware validation to ensure successful chip delivery. Collaboration often involves regular meetings to align on design specifications, resolve integration issues, and discuss performance optimization. Effective communication is essential, as you’ll need to translate requirements from system architects into detailed hardware designs and provide feedback to verification and validation teams. This cross-functional interaction fosters a dynamic work environment and helps ensure the final product meets Google's rigorous standards.

What does a Google ASIC Design Engineer do?

A Google ASIC Design Engineer is responsible for designing and developing custom integrated circuits, known as Application-Specific Integrated Circuits (ASICs), that power Google's data centers, cloud infrastructure, and consumer devices. Their work involves collaborating with cross-functional teams to define requirements, create architecture, perform logic and physical design, and validate the silicon before production. They use advanced design tools and methodologies to ensure high performance, low power consumption, and reliability. Ultimately, their contributions help improve the efficiency and capabilities of Google's hardware products.

What are the key skills and qualifications needed to thrive as a Google ASIC Design Engineer, and why are they important?

To thrive as a Google ASIC Design Engineer, you need a strong background in electrical engineering, digital logic design, and experience with ASIC development, typically backed by a relevant degree. Familiarity with hardware description languages (such as Verilog or VHDL), EDA tools (like Synopsys or Cadence), and an understanding of SoC architectures are essential, and related certifications can be valuable. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set candidates apart. These skills are crucial for designing reliable, high-performance ASICs that meet Google's specifications and project timelines.
What job categories do people searching Google Asic Design Engineer jobs in Georgia look for? The top searched job categories for Google Asic Design Engineer jobs in Georgia are:
What cities in Georgia are hiring for Google Asic Design Engineer jobs? Cities in Georgia with the most Google Asic Design Engineer job openings:
Infographic showing various Google Asic Design Engineer job openings in Georgia as of August 2026, with employment types broken down into 6% As Needed, 72% Full Time, and 22% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $126,822 per year, or $61 per hour.

Senior Google Forward Deployed Engineer - GPS

Deloitte

Atlanta, GA

$100K - $138K/yr

Other

Re-posted 27 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

46th of 150 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Google FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement:

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering:

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering
  • Active Google Associate Data Practitioner or Associate Cloud Engineer certification
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering, including 3+ years of experience building reliable, maintainable, and documented code
  • 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments
  • 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration
  • 1+ years of experience leading project workstreams or engagements and translating business problems into AI solutions; ability to obtain and maintain a US government security clearance
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Professional level Google Certification
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud and platform services including storage, compute, identity and access management, and networking
  • Experience working directly with client technical teams and program stakeholders in delivery environments
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations or large language model operations practices, including evaluation frameworks, model monitoring, and prompt management
  • Experience integrating large language model solutions with enterprise systems using application programming interfaces, microservices, or event-driven architectures
  • Familiarity with security, privacy, or compliance requirements

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Google FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement:

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering:

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering
  • Active Google Associate Data Practitioner or Associate Cloud Engineer certification
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering, including 3+ years of experience building reliable, maintainable, and documented code
  • 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments
  • 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration
  • 1+ years of experience leading project workstreams or engagements and translating business problems into AI solutions; ability to obtain and maintain a US government security clearance
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Professional level Google Certification
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud and platform services including storage, compute, identity and access management, and networking
  • Experience working directly with client technical teams and program stakeholders in delivery environments
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations or large language model operations practices, including evaluation frameworks, model monitoring, and prompt management
  • Experience integrating large language model solutions with enterprise systems using application programming interfaces, microservices, or event-driven architectures
  • Familiarity with security, privacy, or compliance requirements

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to ...


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