Rambus
From Rambus's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
In this role, you will be working with some of the brightest inventors and engineers in the world developing products that make data faster and safer.
Overview
Rambus, a premier chip and silicon IP provider making data faster and safer, is seeking to hire an exceptional CAD Engineering Intern to join our Central CAD team in San Jose, California. In this role, you will be working with some of the brightest inventors and engineers in the world developing products that make data faster and safer.
As a CAD Engineering Intern, you’ll play a pivotal role in developing automated methodology for chip and silicon IP design. In this role, you’ll report directly to our Director of CAD. Our CAD Team is dedicated to delivering EDA infrastructure, design methodologies, and automation solutions that enable high-performance semiconductor products, including memory interface chips, interconnect solutions, and silicon IP, and your contributions will be instrumental in developing CAD tools, flows, and methodologies for a global design organization.
Rambus offers a flexible work environment, embracing a hybrid approach for most office-based roles. Employees are encouraged to spend an average of at least three days per week onsite, allowing for two days of remote work.
Develop, maintain, and enhance CAD methodologies and automation flows supporting digital
ASIC design, verification and implementation.
Work with industry-standard EDA tools across formal verification, synthesis, static timing analysis
(STA), power analysis to improve design quality, productivity, and flow efficiency.
Develop Python, Tcl, and shell-based scripts and utilities to automate design workflows, analyze
results, and streamline engineering processes.
Explore and develop AI-assisted solutions to address practical challenges in CAD and
semiconductor design workflows, including engineering data analysis, debugging, and workflow
Investigate and deploy applications of large language models (LLMs), retrieval-augmented
generation (RAG), and AI agents for engineering automation and intelligent workflow assistance.
Build and integrate AI-enabled utilities with existing engineering tools and workflows, assessing
their accuracy, reliability, performance, and practical effectiveness.
Collaborate with cross-functional CAD, design, verification, and physical design teams to
understand engineering challenges, translate requirements into technical solutions, and validate
Gain exposure to broader physical design and signoff methodologies, including place and route
(P&R), physical verification (DRC/LVS), and related implementation flows.
Currently pursuing a Bachelor’s, Master’s, or Ph.D. degree in Electrical Engineering, Computer
Engineering, Computer Science, or a related field.
Understanding of digital logic design, RTL, and ASIC/SoC design fundamentals.
Familiarity with digital implementation methodology, such as logic synthesis, static timing
analysis, or power analysis.
Programming or scripting experience in Python, Tcl, Bash, or similar languages.
Familiarity with Linux environments and software development fundamentals, including
debugging and version control.
Strong creative, problem identification, analytical, debugging, and problem-solving skills with an
ability to work independently and collaborate across teams.
Interest in applying automation and emerging AI technologies to engineering problems.
Willingness to take lead on work, decisions, actions and consequences.
Hands-on experience with standard EDA tools from Synopsys, Cadence, or Siemens.
Understanding of timing constraints, timing closure, power optimization, and PPA tradeoffs.
Exposure to place and route (P&R), formal verification, physical verification (DRC/LVS), or related
signoff methodologies.
Experience with AI/ML technologies, including LLMs, RAG, AI agents, or agentic automation
Understand what to build and how to build it, rather than relying entirely on AI tools.
Experience developing Python-based tools, MCPs, APIs, or automation frameworks.
Up to date knowledge on AI (tools)
Rambus is a global company that makes industry-leading memory interface chips and Silicon IP to advance data center connectivity and solve the bottleneck between memory and processing. With over 30 years of semiconductor experience, we are a leading provider of high-performance products and innovations that maximize the bandwidth, capacity and security for AI and other data-intensive workloads. Our world-class team is the foundation of our company, and our innovative spirit drives us to develop the cutting-edge products and technologies essential for tomorrow’s systems.
Rambus offers a competitive compensation package including base salary, bonus, equity, matching 401(k), employee stock purchase plan, comprehensive medical and dental benefits, time-off program, and gym membership.
The US hourly range for this full-time position is $25.80 to $47.80. Our salary ranges are determined by role, level and location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location and market conditions.
At Rambus, we are committed to fostering a workplace where every individual is respected, supported, and empowered to succeed. We value a range of perspectives and experiences that contribute to innovation and collaboration. Our goal is to ensure that all team members have equitable access to opportunities, resources, and a sense of belonging. We believe that a culture of fairness and inclusion helps us all do our best work.
Rambus is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics.
Rambus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our job application procedures. If you require assistance or an accommodation due to a disability, please feel free to inform us in your application.
Rambus does not accept unsolicited resumes from headhunters, recruitment agencies or fee-based recruitment services.
For more information about Rambus, visit rambus.com. For additional information on life at Rambus and our current openings, check out rambus.com/careers/.
#LI-HYBRID
#LI-GL1
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in