Silicon Engineering Intern, BS/MS, Summer 2024

e “Education Section:” attach a current or recent unofficial or official transcript in English.

• Under “Degree Status,” select “Now attending” to upload a transcript.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chapel Hill, NC, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Palo Alto, CA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington https://D.C., DC, USA.

Minimum qualifications:

• Currently pursuing a Bachelor's or Master's degree in Electrical, Electronics, and Communication Engineering or a related technical field.

• Experience with basic design concepts and computer hardware architecture.

• Experience with one or more of the following: C, C++, MATLAB/OCTVE, Python, SystemVerilog / VHDL, or Verilog.

Preferred qualifications:

• Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term.

• In penultimate academic year or returning to a degree program after completion of the internship.

• Experience with one or more of the following: Java, JavaScript, or OCEAN.

• Research or teaching experience, previous internships, or personal projects in one or more of the following areas: Algorithms and theory, Analog IC design, Architecture/system specification, ASIC design, Data Mining, Digital design, Hardware and architecture, Infrastructure/systems programming, Machine learning and artificial intelligence, Mixed-signal, or Natural language processing, or TensorFlow.

About the job

As a Silicon Engineer, you will design, develop and deploy consumer hardware. Google's Consumer Hardware Silicon division builds chips optimized for Google-branded consumer devices. Our product areas include imaging, machine learning, video, and security. We are currently hiring in Bangalore across all parts of the development process including: architecture evaluation and definition, microarchitecture, RTL, verification, emulation/prototyping, DFT, physical design and silicon validation. We aim to build a team with talent that resonates with Google's culture of innovation and fun, and you have an opportunity to be part of it.

As a member of a fast-paced multi-disciplinary team, you will use your creativity and diverse range of engineering experience to explore solutions to a variety of engineering problems. Additionally, you will participate in the design, analysis, and prototyping of new concepts. You will also work in a manufacturing and product oriented development environment and collaborate with vendors and outside sources in order to see parts through to manufacture.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

The US base salary range for this full-time position is $82,000-$109,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Perform performance validation and simulation using C/C++ and RTL-based models, and performance correlation.
• Perform analysis results in both qualitative and quantitative fashion.
• Create tools/scripts to automate test suites and models to improve functionality of simulators.
• Participate in evaluation of future ASIC designs and general architecture.

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.