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Internship Eda Software Engineer Jobs (NOW HIRING)

Rivian

Automation Engineer, EDA

Palo Alto, CA · On-site

$103K - $115K/yr

To keep our hardware development agile, error-free, and operating at scale, we need robust software ... Previous internship or project experience involving hardware-in-the-loop, EDA toolchains, or PLM ...

Rivian

Automation Engineer, EDA

Irvine, CA · On-site

$103K - $115K/yr

To keep our hardware development agile, error-free, and operating at scale, we need robust software ... Previous internship or project experience involving hardware-in-the-loop, EDA toolchains, or PLM ...

Rivian

Automation Engineer, EDA

Palo Alto, CA · On-site

$103K - $115K/yr

To keep our hardware development agile, error-free, and operating at scale, we need robust software ... Previous internship or project experience involving hardware-in-the-loop, EDA toolchains, or PLM ...

Rivian

Automation Engineer, EDA

Palo Alto, CA · On-site

$103K - $115K/yr

To keep our hardware development agile, error-free, and operating at scale, we need robust software ... Previous internship or project experience involving hardware-in-the-loop, EDA toolchains, or PLM ...

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How much do internship eda software engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for internship eda software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Eda Software Engineer vs Eda Software Engineer?

AspectInternship Eda Software EngineerEda Software Engineer
QualificationsEnrolled in or recent graduate of relevant degree (e.g., Electrical Engineering, Computer Science)Bachelor's or higher in related field, with relevant experience
Work EnvironmentInternship program, mentorship-focused, entry-level tasksFull-time role, independent project work, team collaboration
ResponsibilitiesAssist in EDA tool development, learn industry practicesDesign, develop, and optimize EDA tools and workflows

The main difference between an Internship Eda Software Engineer and an Eda Software Engineer is experience level and scope of responsibilities. Internships are designed for students or recent graduates gaining industry exposure, while full-time Eda Software Engineers handle complex projects independently. Internships serve as a stepping stone into the industry, whereas full-time roles focus on delivering ongoing software solutions.

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Internship Eda Software Engineer jobs near you
Senior Software R&D Engineer, Digital Logic Synthesis

Senior Software R&D Engineer, Digital Logic Synthesis

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted yesterday

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA's success builds on a foundation of industry leading hardware. A key strategy in achieving this is our combining of the best of external EDA with highly optimized, internal EDA tools. Our team develops these tools by fusing advances in parallel computing, machine learning, and novel algorithms in C++. We are seeking an innovative EDA Software R&D Engineer with particular interest in strategies and algorithms for RTL synthesis, digital logic, timing, and power optimization. Such optimization usually includes a mix of graph-based algorithms, AI, and feedback from RTL and physical designers, so having experience relevant to each of those areas would be ideal. In practice, techniques often depend on many related domains, so a solid understanding of DFT, clock distribution, power gating, and other SOC integration aspects is essential.
Developing software within a leading hardware company means getting to almost exclusively focus on the latest processes and most advanced designs. We're not bogged down by legacy support, niche roles, or convoluted approval processes. Our developers enjoy unusually high intellectual freedom and the ability to explore broad roles. If you like to work across many technical areas and see your successes directly realized in the world's best AI hardware, this is it!
What you'll be doing:
  • Invent and develop new algorithms for RTL synthesis, digital logic optimization, graph-based RTL traversal, analysis, and manipulation.
  • Build physical-aware synthesis techniques using placement/congestion/timing feedback to improve PPA.
  • Develop strategies for rapidly analyzing the RTL change impact on timing, power, area, and impact to DFT, clocking, and power delivery on design.
  • Prototype and evaluate ML methods (e.g., GNNs, RL, models) to guide optimization decisions; integrate successful approaches into production.
  • Explore high performance algorithms for clustering, min cost tree covering (technology mapping), datapath implementation and other details of logic synthesis, especially that efficiently incorporate human insight.
  • As with any software engineering team, we do write a lot of code, but this is broader than a typical CAD or EDA role. Instead, we as a team own the whole process from discovery and invention of new optimization opportunities, to developing solutions and working directly inside design teams to facilitate deployment. That translates to a bigger picture view of your work, going beyond simply responding to user requests to instead actively driving the roadmap of increasing hardware design productivity.

What we need to see:
  • MS or PhD in Electrical Engineering or Computer Science or equivalent experience
  • 6+ years experience in EDA software and/or VLSI flows, with significant work in logic synthesis or digital optimization.
  • Strong CS fundamentals and modern C++ experience (templates/STL, concurrency libraries, profiling and performance optimization, data structures, algorithms, performance, concurrency, testing).
  • Solid understanding of RTL (Verilog/SystemVerilog) and digital design concepts (timing, clocking, DFT basics, power intent).
  • Expertise in EDA techniques, including logic synthesis, global route, static timing analysis, power & area optimization and SAT solvers
  • Good communication and interpersonal skills

Ways to stand out from the crowd:
  • Previous work experience involving RTL logic synthesis and multi stage logic optimization
  • Experience with common EDA building blocks, such as Verific for Verilog parsing, Espresso for logic minimization, and various other components for logic rewriting, tree coverage, SAT solvers, and combinatorial optimization
  • Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc.
  • Experience with various machine learning techniques.

NVIDIA is widely considered to be one of the technology world's most desirable employers, and due to outstanding advancements, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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