Sr Principal Software Engineer, Innovus — Physical Synthesis & Optimization

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 scalewhere 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

Required

• Education: Masters 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 (C17/20) 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 $161000 to $299000. 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.

Were doing work that matters. Help us solve what others cant.

Required Experience:

Staff IC