Silicon Intern - Physical Design & DFT (USA)
Summary
This internship focuses on transforming RTL into manufacturable silicon through physical design (synthesis, PnR, timing closure) and Design For Test (DFT) methodologies. Interns work with industry-standard EDA tools like Synopsys or Cadence and script in Python, Tcl, or Perl to optimize AI hardware performance and testability across multiple US-based design centers.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Overview: This is where verified RTL becomes an actual, manufacturable chip. Every timing constraint, every power tradeoff, every Design For Test (DFT) decision here determines whether the silicon works when it comes back from the fab.
What you might work on: This posting spans multiple teams within Physical Design and DFT. One application, one recruiter screen — then we match you to the specific team and location that fits best. Team include:
- Physical Design: Synthesis, floorplanning, place & route, clocking, timing closure.
- Advanced Physical Design: ML-assisted approaches to physical design flows.
- DFT: Design hardware to enable structural post-silicon test. JTAG, Scan/ATPG, MBIST.
This role is on-site, based out of Austin, TX or Boston, MA or Fort Collins, CO or Santa Clara, CA.
Who You Are
- Currently pursuing a BS, MS, or PhD in Electrical or Computer Engineering, Computer Science, Software Engineering.
- Solid understanding of logic design, VLSI, and transistor-level concepts.
- Familiarity with PnR tools, timing analysis, and power optimization techniques.
- Familiarity with JTAG, MBIST, and scan concepts.
- Comfortable scripting in Tcl, Perl, Shell, or Python.
What We Need
- Hands-on experience with a commercial PnR toolchain (Synopsys, Cadence).
- Coursework or projects in DFT, test methodology, VLSI or digital design, computer architecture.
- Interest or exposure with AI tools to accelerate development and workflows.
What You Will Learn
- The physical design flow, from RTL handoff to final tapeout.
- Timing, power, EM/IR, and area tradeoffs at the chip level.
- Industry-standard EDA tools and flows used in modern chip development.
- Gain hands-on experience in Design-for-Testability (DFT) to enable efficient testing.
USA Hiring Timelines
This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:
- Winter Term: Jan–Apr work term, Sept–Dec recruit.
- Summer Term: May–Aug work term, Oct–Apr recruit.
- Fall Term: Sept–Dec work term, Jan–Aug recruit.
Please note these timelines are for reference only. Actual timelines may vary.
Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Skills
As published by greenhouse · 17 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (4)
- LinkedIn Profile
- Website or Github optional
- What is your current cumulative GPA or overall academic score?
- If you selected "Other," please specify how you heard about us optional
Pick from a list (12)
- Current level of education pursuing
- When do you expect to graduate from your studies?
- What internship terms(s) are you able to work 40 hours/week in office for? Please check all that apply.
- What length of internship are you available for?
- Depending on the needs of the role, we may have openings in multiple locations. Please choose which locations you are open to working in/relocating to. (Select all that apply)
- Are you willing and able to work in the office 5 days a week?
- What is your earliest available start date?
- How did you hear about the role?
- In compliance with federal and state laws, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Are you authorized to work lawfully in the United States for Tenstorrent?
- Work authorization under university programs (such as CPT) is granted solely by academic institutions. If applicable to your situation, candidates are responsible for verifying with their university’s Designated School Official (DSO) that this position and schedule align with their degree requirements prior to interviews.
- I have read and understand the Export Control statement included in the job description above.
- Please select top 2 team of preference:
Attachments (1)
- Please upload a copy of your unofficial transcript.