# R&D Engineering, Staff Engineer

**Company**: Synopsys
**Location**: Ottawa, Ontario
**Work arrangement**: onsite
**Experience**: staff
**Job type**: employee
**Salary**: $100000-$150000
**Category**: Engineering
**Industry**: Technology
**Ticker**: SNPS
**Wikidata**: https://www.wikidata.org/wiki/Q2303478

**Apply**: https://careers.synopsys.com/job/ottawa/r-and-d-engineering-staff-engineer/44408/102265655600?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c38f0daa-dbf

## Description

Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification and manufacturing. They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.

You will work on simulation platforms that support thousands of IP designers worldwide. The problems are real, the scale is significant, and what you build will directly affect how teams ship.

### Responsibilities

- Build and enhance the analog/mixed-signal simulation infrastructure that supports IP design teams across the company, focusing on scalability, reliability, and usability

- Design and implement AI-assisted automation for simulation setup, debugging, and workflow optimization, translating emerging technologies into practical engineering tools

- Improve distributed and cloud-based simulation environments to increase resource utilization and reduce time-to-results for large-scale workloads

- Enable production sign-off flows including Monte Carlo, reliability analysis, and post-layout simulation methodologies that teams depend on for tapeout

- Work directly with design teams to understand their challenges, translate requirements into platform capabilities, and deliver solutions that remove friction from their workflows

- Partner with EDA vendors and internal tool developers to drive new features, evaluate technologies, and integrate enhancements into the platform

- Support engineers through documentation, training, consultation, and best-practice guidance that helps them get more out of the tools

### The Impact You Will Have

- Thousands of IP designers worldwide will use the simulation infrastructure you build, and the improvements you make will compound across every project they touch

- Engineers will spend less time fighting tooling and more time designing because you removed the friction points that slow them down

- Sign-off flows will run more reliably and finish faster, directly affecting tapeout schedules and product delivery timelines

- AI-driven automation you implement will change how teams approach simulation setup and debugging, setting the foundation for next-generation workflows

- Cloud and distributed simulation improvements you deliver will unlock capacity that was previously bottlenecked, enabling teams to run more experiments and iterate faster

- Your collaboration with EDA vendors will shape the features and capabilities that become available to the entire organization

- The platform strategy and roadmap you help define will guide simulation infrastructure investments across global engineering teams

### Requirements

- Bachelor's degree with 7-8+ years of experience, Master's with 5-6+ years, or PhD with 3-4+ years in Electrical Engineering, Computer Engineering, Computer Science, or related field

- Strong background in CAD, design automation, simulation infrastructure, or analog/mixed-signal design and verification

- Hands-on experience with circuit simulation environments, custom design flows, and testbench automation in production settings

- Proficiency in Python, Tcl, Shell, or similar scripting languages for building automation and workflow tools

- Experience working in Linux-based development and compute environments

- Knowledge of Synopsys EDA design suite is highly preferred

- Experience with AI technologies, LLMs, agent-based systems, or machine learning applications for engineering productivity is a strong plus, as is experience with distributed computing, cloud-based workloads, or large-scale engineering infrastructure

### Benefits

- Comprehensive medical and healthcare plans that work for you and your family

- In addition to company holidays, we have ETO and FTO Programs

- Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more

- Purchase Synopsys common stock at a 15% discount, with a 24 month look-back

- Save for your future with our retirement plans that vary by region and country

- Competitive salaries

## Skills

### Required
- Electrical Engineering
- Computer Engineering
- Computer Science
- CAD
- design automation
- simulation infrastructure
- analog/mixed-signal design and verification
- Python
- Tcl
- Shell
- Linux

### Nice to have
- AI technologies
- LLMs
- agent-based systems
- machine learning applications
- distributed computing
- cloud-based workloads
- large-scale engineering infrastructure
- Synopsys EDA design suite

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Source: [Apply at careers.synopsys.com](https://careers.synopsys.com/job/ottawa/r-and-d-engineering-staff-engineer/44408/102265655600?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)