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

As of Jun 18, 2026, the average hourly pay for exec eda software engineer in the United States is $112.98, according to ZipRecruiter salary data. Most workers in this role earn between $104.57 and $121.39 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Exec EDA Software Engineer, and why are they important?

To thrive as an Exec EDA Software Engineer, you need strong programming skills (often in C++, Python, or Java), a background in computer science or electrical engineering, and deep understanding of Electronic Design Automation (EDA) concepts. Familiarity with industry-standard EDA tools (such as Cadence, Synopsys, or Mentor Graphics) and experience with hardware description languages (like Verilog or VHDL) are typically required. Excellent problem-solving, collaboration, and communication skills help you navigate complex design challenges and work effectively within cross-functional teams. These skills and qualifications are crucial for developing innovative EDA solutions that enhance semiconductor design productivity and accuracy.

What is an Exec Eda Software Engineer?

An Exec Eda Software Engineer is a specialized software engineer who works with Electronic Design Automation (EDA) tools, focusing on the design, verification, and optimization of electronic circuits and systems. Their role typically involves developing, maintaining, and improving software that automates tasks in the chip design workflow. Exec-level EDA engineers often lead projects, mentor junior engineers, and collaborate with hardware designers to ensure high-quality, efficient solutions. They must have strong programming skills, a deep understanding of computer architecture, and experience with EDA tools and methodologies.

What are some common challenges Exec Eda Software Engineers face when working on complex EDA tool development projects?

Exec Eda Software Engineers often encounter challenges such as optimizing algorithms for performance and scalability, integrating new features into large and legacy codebases, and ensuring compatibility with various hardware architectures. They also need to keep up with rapid changes in semiconductor technology and collaborate closely with hardware engineers, verification teams, and other software developers to deliver robust and efficient EDA solutions. Strong problem-solving skills and adaptability are essential to overcome these technical and collaborative hurdles.
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Infographic showing various Exec Eda Software Engineer job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $235,000 per year, or $113 per hour.
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

Posted 8 days ago

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.
Nvidia logo

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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