S

Synopsys

EDA software for chip design

R&D Senior Staff Engineer

Full-TimeUpdated on 10/16/2026
No salary listed
Expert
Bachelor's, Master's, PhD
South Korea
In Person
Software EngineeringAI Application Engineering

About the job

Requirements
  • A bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, plus 10 or more years of relevant industry experience.
  • Strong understanding of semiconductor verification methodologies and workflows, with hands-on experience in Verilog, SystemVerilog, UVM, simulation, coverage closure, debugging, regression, and related verification technologies.
  • Experience with programming and software development, preferably using Python or similar languages for automation and engineering applications.
  • Interest in or experience applying artificial intelligence, machine learning, large language models, or automation technologies to engineering challenges.
  • Strong analytical, problem-solving, and debugging skills to address complex technical challenges.
  • Ability to work effectively across global and cross-functional teams.
Responsibilities
  • Design, develop, and enable artificial intelligence-powered solutions that improve engineering productivity across semiconductor verification workflows.
  • Collaborate with Product Engineering, R&D, and cross-functional teams to identify technical challenges and develop scalable automation and artificial intelligence-assisted solutions.
  • Develop integrations between artificial intelligence technologies and engineering tools to enable intelligent workflows, automation, and improved user experiences.
  • Evaluate and apply emerging technologies, including large language models, artificial intelligence agents, retrieval-augmented generation, Model Context Protocol, and workflow orchestration frameworks, to solve engineering problems.
  • Provide technical leadership and contribute to artificial intelligence-driven solutions across verification and related engineering domains.
  • Improve engineering productivity and efficiency through intelligent automation and artificial intelligence-assisted workflows.
  • Help accelerate adoption of artificial intelligence technologies across semiconductor engineering and verification environments.
  • Enable engineers to solve problems faster and make informed decisions through innovative tools and workflows.
  • Contribute to artificial intelligence-driven engineering solutions by combining domain expertise with emerging technologies.
  • Take ownership of complex engineering challenges and drive them to successful outcomes through technical leadership and problem-solving.
  • Identify and deliver scalable solutions that improve product quality, performance, and engineering efficiency.
  • Collaborate across Product Engineering, R&D, and other teams to advance artificial intelligence-driven engineering solutions and verification workflows.
  • Communicate clearly, share knowledge, and foster technical collaboration and innovation.
Desired Qualifications
  • A master's degree or PhD.
  • Familiarity with advanced verification methodologies and technologies such as static verification, formal verification, or verification automation.
  • Familiarity with modern artificial intelligence technologies such as agent frameworks, retrieval-augmented generation systems, Model Context Protocol, workflow automation, or similar technologies.

About the company

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Synopsys

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Synopsys provides software tools and services for electronic design automation (EDA), helping engineers design, simulate, verify, and optimize semiconductor chips and systems. Its products cover the full design flow, including RTL-to-gating synthesis, place-and-route, timing analysis, verification, and silicon validation, as well as software integrity solutions and hardware-assisted verification. Engineers use these tools to model, simulate, and validate complex chip designs before manufacturing, reducing bugs and improving performance. Compared with many competitors, Synopsys differentiates itself through its broad, end-to-end design toolchain, large ecosystem of IP and integration with simulation and modeling capabilities gained from its 2025 merger with ANSYS, and its global scale and support. The company aims to help designers push the boundaries of chip and system performance, accelerate time-to-market, and enable silicon-to-systems design across a wide range of industries.

Company Size

10,001+

Company Stage

IPO

Headquarters

Sunnyvale, California

Founded

1986

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Simplify's Take

What believers are saying

  • Synopsys raised fiscal 2027 revenue guidance to $11.15 billion on September 30, 2026.
  • Management targets roughly 50% operating margin by fiscal 2030 and $1 billion buybacks.
  • Ansys synergies finish early in fiscal 2027, supporting faster margin expansion.

What critics are saying

  • China export restrictions slowed new projects and cut IP revenue in 2026.
  • Synopsys cut 128 Sunnyvale jobs after prior 10% restructuring, signaling integration strain.
  • Customers like Samsung are building in-house manufacturing tools, threatening long-term lock-in.

What makes Synopsys unique

  • Synopsys and Ansys now span EDA, simulation, and silicon IP after July 2025.
  • Synopsys locked AWS into a $1 billion-plus IP deal on September 30, 2026.
  • GPT-Synopsys with OpenAI gives Synopsys proprietary AI workflows competitors lack.

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Benefits

  • Wellness Program
  • Company Equity
  • Performance Bonus

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Yahoo Finance
Oct 15th, 2026
Synopsys eyes $17B revenue by 2030 as AI shifts to profit gains, but valuation leaves little room

Synopsys could benefit as AI spending shifts from building data centres to boosting efficiency, one analyst argues. The chip-design software maker would be her pick through 2030. Synopsys signed a multi-year licensing deal worth more than $1 billion with Amazon for custom chip IP. Its $34.9 billion Ansys acquisition is expected to add $400 million in annualised revenue by fiscal 2029. Management targets 15% annual revenue growth through fiscal 2030, which would lift revenue to nearly $17 billion. Design IP revenue, however, fell 0.7% in the first nine months of fiscal 2026. Shares trade at about 27 times projected fiscal 2027 adjusted earnings. At 20 times 2030 earnings, the stock could reach about $745, or 46% upside; at 15 times, about $559, or 10%.

Tech in Asia
Oct 15th, 2026
Synopsys and Siemens adopt Nvidia's CUDA-X libraries for chipmaking

Nvidia said Synopsys and Siemens are adopting its CUDA-X libraries for chipmaking. The announcement places Synopsys' adoption within a broader partnership with Nvidia on engineering and design. Nvidia said Siemens uses cuLitho for chip-pattern refinement and mask preparation. Siemens also works with Nvidia on industrial AI and manufacturing digital twins. Nvidia said cuPotential is available in early access. NanoVDB is open source within OpenVDB, while NPP is available through the CUDA Toolkit.

Yahoo Finance
Oct 2nd, 2026
Synopsys stock surges 13% after $1B Amazon deal and upgraded FY27 guidance

Synopsys shares surged 13% to $491 following the chip-design software maker's Investor Day, where management announced fiscal 2027 revenue guidance of $11.10 billion to $11.20 billion and earnings per share of $19.04 to $19.12, significantly exceeding analyst estimates of $10.81 billion and $17.81 respectively. The company revealed a multi-year deal with Amazon Web Services worth more than $1 billion to licence chip-design intellectual property for custom silicon. CEO Sassine Ghazi noted that royalties will begin once designs reach production in approximately 14 months. Synopsys also announced a partnership with OpenAI to develop GPT-Synopsys, a chip-design model under a revenue-sharing agreement. The company raised its fiscal 2030 operating margin target to approximately 50% from the mid-40s and announced a $1 billion share buyback programme.

Yahoo Finance
Oct 1st, 2026
Synopsys shares jump 9% as BofA and KeyBanc raise price targets to $600+ on 23% EPS growth outlook

Synopsys shares jumped 9% to $475.70 after its Investor Day on 30 September, prompting BofA to raise its price target to $600 and KeyBanc to $605. Both firms maintained buy-equivalent ratings. The company unveiled a 23% pro-forma earnings per share compound annual growth target through fiscal 2030, exceeding Wall Street expectations. BofA raised its FY27 and FY28 EPS estimates by 7% and 16% respectively. Synopsys announced partnerships with OpenAI and AWS whilst targeting higher long-term growth in electronic design automation and silicon intellectual property. The company recently completed a $35 billion Ansys acquisition. Third-quarter fiscal 2026 revenue reached $2.48 billion, up 42.4% year-over-year, beating consensus estimates. Management raised full-year guidance to between $9.69 billion and $9.74 billion revenue. Execution risks remain around export controls, Ansys integration, and restructuring charges before joint products contribute to growth in 2027.

Yahoo Finance
Oct 1st, 2026
Synopsys shares up 4.6% as earnings estimates rise, Zacks Rank #2 signals near-term outperformance

Synopsys has gained 4.6% over the past month, outperforming the S&P 500's 0.4% decline and the Computer-Software industry's 3% loss. The chipmaker software company holds a Zacks Rank #2 (Buy) rating. Analysts expect current quarter earnings of $4.10 per share, up 41.4% year-over-year, though the consensus estimate declined 1.9% over the past 30 days. Full-year earnings are projected at $15.13, representing 17.2% growth. Revenue estimates stand at $2.56 billion for the current quarter, $9.72 billion for the current fiscal year, and $10.74 billion for next year, indicating growth of 13.5%, 37.8%, and 10.5% respectively. The company has beaten both earnings and revenue consensus estimates in each of the past four quarters. However, Synopsys receives a D grade on the Zacks Value Style Score, suggesting it trades at a premium to peers.