Sr Principal Software Engineer, Innovus — Physical Synthesis & Optimization

Cadence Design Systems, Inc.; San Jose (CA); On-site; USD 161,000 - 299,000; Full time

Job summary

Cadence Design Systems, Inc. in San Jose invites a Senior/Staff Software Engineer to design and develop next-generation physical synthesis and optimization engines within Innovus.

You will tackle challenging graph/spatial algorithms, large-scale numerical optimization, and multi-core parallelization to push PPA, timing closure, and design productivity at scale. You will translate research concepts into robust, production-quality code, optimize CPU bottlenecks, and collaborate with R&D teams to

Qualifications

• Education: Master’s or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent hands-on industry experience).
• C++ Expertise: Strong hands-on experience developing high-performance, production-quality C++ (C++17/20) in Linux environments.
• Core Fundamentals: Solid data structures, graph algorithms, computational geometry, memory management, and software architecture.
• Concurrent Programming: Practical experience with multithreaded or concurrent programming and low-level performance profiling.
• Problem Solving: Ability to analyze, debug, and optimize complex bottlenecks in large-scale software systems.

Responsibilities

• Design, implement, unit-test, and optimize high-performance C++ engines for physical synthesis, placement, and timing-driven optimization.
• Develop advanced graph algorithms, spatial data structures, and continuous/combinatorial optimization techniques for massive-scale physical design workloads.
• Identify and eliminate CPU bottlenecks, memory footprint overhead, and algorithmic scaling limits in production C++ codebases.
• Translate research concepts and mathematical formulations into robust, maintainable, production-quality software.
• Implement multi-threaded and distributed algorithms for computationally intensive implementation engines.

Skills

C++ Expertise

Graph Algorithms

Distributed Computing

Multithreading

Data Structures

Numerical Optimization

Education

Master's or Ph.D. in CS/EE or related field

Tools

Python

Tcl

Shell scripting

CUDA

Job description

SAN JOSE

Full time

R56531

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Why Cadence? — Design for AI. AI for Design.

Cadence sits at the intersection of semiconductor innovation and high-performance computing. Through Design for AI, our EDA technologies enable the advanced silicon platforms powering modern AI infrastructure. Through AI for Design, we integrate machine learning, data-driven optimization, and intelligent automation into our industry-leading implementation flows to transform how chips are designed.

As part of the Innovus R&D team, you will build high-performance software engines and algorithms behind next-generation physical synthesis, helping push the boundaries of performance, power, area (PPA), timing closure, and design productivity at scale.

Role Overview

We are looking for a Senior / Staff Software Engineer to contribute to the design and development of next-generation physical synthesis and optimization engines within Innovus.

In this hands-on engineering role, you will solve challenging computational problems at the intersection of advanced graph/spatial algorithms, high-performance C++, parallel and distributed computing, and large-scale numerical optimization. Your work will operate at semiconductor scale—where algorithmic efficiency, memory footprint, and multi-core scalability directly impact the ability to design billions of transistors on advanced process nodes.

Key Responsibilities

Core Engine & Algorithm Development

• Design, implement, unit-test, and optimize high-performance C++ engines for physical synthesis, placement, and timing-driven optimization.


• Develop advanced graph algorithms, spatial data structures, and continuous/combinatorial optimization techniques for massive-scale physical design workloads.


• Identify and eliminate CPU bottlenecks, memory footprint overhead, and algorithmic scaling limits in production C++ codebases.


• Translate research concepts and mathematical formulations into robust, maintainable, production-quality software.

Parallel & Distributed Computing

• Implement multi-threaded and distributed algorithms for computationally intensive implementation engines.


• Scale physical design workloads across multi-core systems and compute clusters while minimizing synchronization overhead and memory bandwidth constraints.


• Apply modern profiling and benchmarking tools to maximize CPU utilization, cache efficiency, and execution throughput.

Physical Design Optimization & R&D

• Develop physical design optimization modules addressing timing, power, performance, area (PPA), and congestion.


• Work directly with large-scale layout and netlist data to build practical, highly scalable optimization strategies.


• Collaborate with R&D colleagues to integrate data-driven and AI-assisted optimization heuristics into core synthesis flows.

Qualifications

• Education: Master’s or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related quantitative field (or equivalent hands-on industry experience).


• C++ Expertise: Strong hands-on experience developing high-performance, production-quality C++ (C++17/20) in Linux environments.


• Core Fundamentals: Solid foundation in data structures, graph algorithms, computational geometry, memory management, and software architecture.


• Concurrent Programming: Practical experience with multithreaded or concurrent programming and low-level performance profiling.


• Problem Solving: Proven ability to analyze, debug, and optimize complex algorithmic bottlenecks in large-scale software systems.

Preferred

• EDA / Physical Design: Prior experience developing EDA tools, with specific knowledge in physical synthesis, global/detail placement, static timing analysis (STA), routing, or timing closure.


• AI & Machine Learning: Exposure to applying machine learning, deep learning, reinforcement learning, or data-driven heuristics to software optimization problems.


• Scripting & Tooling: Proficiency with Python, Tcl, or shell scripting for benchmarking and workflow automation.


• HPC & Acceleration: Experience with SIMD vectorization, GPU/CUDA acceleration, or large-scale distributed compute frameworks.

The Opportunity

This role is ideal for a hands-on developer who loves tackling hard algorithmic and systems-level problems at massive scale. Whether your background is rooted deeply in EDA or high-performance systems C++, you will directly write the foundational software engines that power the next generation of global silicon innovation.

Build the engines. Scale the algorithms. Shape the future of chip implementation.

The annual salary range for California is $161,000 to $299,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

• paid vacation and paid holidays


• 401(k) plan with employer match


• employee stock purchase plan


• a variety of medical, dental and vision plan options


• and more

Equal Employment Opportunity Policy

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Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences.

Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence.

Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.

Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.

Cadence is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.