R&D Staff Engineer – EDA Tools/Algorithms

Responsibilities

• Design and implement algorithms for graph processing, optimization, and data structure management within EDA tool workflows
• Write performance-critical C++ code to handle large-scale design data, netlist processing, or analysis pipelines
• Debug and optimize existing systems to improve runtime, memory usage, and scalability across complex workloads
• Collaborate with RTL designers, architects, and cross-functional engineering teams to align tool capabilities with design challenges
• Contribute to the development and enhancement of EDA tools used for semiconductor design
• Review code, mentor peers, and contribute to engineering best practices across the R&D organization

Requirements

• Bachelor's or Master's in Computer Science, Electronics Engineering, or equivalent practical experience
• 5-8 years of professional software development experience with a focus on systems programming or algorithmic work
• Deep expertise in data structures and graph algorithms, including implementation and optimization in production systems
• Advanced proficiency in C++ for performance-critical software development
• Strong problem-solving skills and a solid grounding in software design principles

Preferred Qualifications

• Experience in EDA tools, semiconductor design workflows, or compiler design
• Familiarity with RTL languages like Verilog or VHDL
• Exposure to AI-assisted coding tools like GitHub Copilot or Cursor

Benefits

• Comprehensive medical and healthcare plans
• Paid time away including ETO and FTO programs
• Family support including maternity, paternity, and adoption assistance
• Employee Stock Purchase Plan (ESPP) with a 15% discount
• Competitive salaries and regional retirement plans

About the Company

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation, and analysis solutions to power the next generation of semiconductor innovation.