Hardware/Silicon Engineering PhD Intern
About the job
- Currently enrolled in a PhD degree in Electrical Engineering, Computer Engineering, or a related technical field in Israel, and in the second or final year of education.
- Have relevant practical or internship experience working in C++ programming.
- Have relevant practical research or internship experience with architectural modeling, simulation, or developing software for high-performance computing.
- Have experience working with data structures or algorithms during coursework, projects, research, internships, or practical experience in school or work, such as open-source coding.
- Be able to communicate fluently in English.
- Be able to complete a 13–17 week full-time internship in Israel, starting in May, June, or July 2027.
- Be located in Israel for the duration of the internship program.
- Provide an updated CV or resume and a current unofficial or official transcript in English.
- Work on fundamental problems at the intersection of hardware, software, and algorithms.
- Collaborate with engineers and researchers on projects that impact Google's custom silicon portfolio, including general-purpose CPUs, AI accelerators such as Tensor Processing Units, and Systems-on-a-Chip.
- Develop and analyze algorithms co-designed with custom hardware.
- Build software stacks, compilers, and performance analysis tools for custom architectures.
- Architect and model future CPUs, Tensor Processing Units, and Systems-on-a-Chip to guide design decisions.
- Contribute to silicon creation, including logic design and verification and VLSI physical implementation.
- Have relevant practical or internship experience, or personal project experience, in hardware or electrical engineering.
- Have coding experience in one or more of the following programming languages: Python, C, C++, Java, or JavaScript.
About the company
Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.
Company Size
10,001+
Company Stage
IPO
Headquarters
Mountain View, California
Founded
1998
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Simplify's Take
What believers are saying
- Gemini caught on: its app's monthly users rose from 400 million in May 2025 to 1 billion by August 2026.
- Cloud work is booked years ahead: Google Cloud had $514 billion of signed contracts still to deliver in June 2026.
- Stock awards gained value: Alphabet shares rose 44% in the 12 months to October 2026, versus 2% for Microsoft.
What critics are saying
- Cloud is still third: Google held 15% market share in the June 2026 quarter, behind Amazon's 28% and Microsoft's 20%.
- AI spending outruns cash: Alphabet spent $44.9 billion on equipment in the June 2026 quarter, more than operations generated.
- AI leadership is turning over: in August 2026, Demis Hassabis handed off running Google DeepMind, and veteran Jeff Dean left.
What makes Google unique
- Consumer apps earn most profit: Google Services made $39.5 billion operating profit in the June 2026 quarter, 4.5 times Cloud.
- Rivals rent its homemade AI chips: Claude maker Anthropic agreed in October 2025 to use up to 1 million TPUs.
- Android dominates mobile browsing: it had 69% of global mobile web use in September 2026, versus 31% for iPhones.
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Benefits
- Hybrid Work Options
- Remote Work Options
- Performance Bonus
- Company Equity