Overview
We are seeking a highly motivated early-career engineer to support the development of an advanced software platform focused on cost planning, simulation, and early feasibility evaluation of sheet metal components.
This role is ideally suited for candidates with a strong background in engineering, physics, applied mathematics, or a related technical discipline who have some experience developing in C++ and embrace AI as a core element of their software development practice.
Successful candidates are expected to be AI-native developers, leveraging modern AI tools, coding assistants, agent frameworks, and structured reasoning techniques throughout the software lifecycle—from requirements analysis and system decomposition to implementation, testing, and maintenance.
The ideal candidate combines strong software engineering fundamentals with hands-on experience in Python, RESTful APIs, distributed systems, and agent-based architectures. They are comfortable breaking complex engineering problems into manageable components and designing robust solutions that integrate AI capabilities into product workflows. This position will be on site in our Burlington (Ontario) office.
Key Responsibilities
- Develop and implement new algorithms and methodologies to enhance simulation and cost estimation capabilities
- Translate engineering concepts into robust, production-ready software features
- Conduct feasibility studies to evaluate new approaches and validate performance
- Collaborate with cross-functional teams to integrate new capabilities into the software platform
Skills/Experience
- Strong programming skills in Python, QT, C++, VBA in Windows desktop environment
- Proficient experience in using VS Studio, VS code, git and azure DevOps as development environment and debugging.
- Hands on working experience in Agile development methodologies.
- AI-native mindset with experience using modern AI tools and techniques in development workflows
- Solid analytical and problem-solving capabilities
- Self-driven, curious, and eager to explore new technologies and methodologies
Qualifications
- Master’s degree in: Engineering (Mechanical, Industrial, or related), Applied Mathematics, Physics, Software Engineering or Computer Science
Preferred (Nice to Have):
- Knowledge of metal forming processes
- Familiarity with finite element methods (FEM) and simulation techniques
- Experience with numerical methods or physics-based modeling
Soft Skills
- Strong team collaboration skills using MS Teams and Zoom
- Clear and effective English communication (written, verbal and presentation)
- Self-driven, curious, and eager to explore new technologies and methodologies
What You Will Gain
- Hands-on experience in advanced simulation software development
- Opportunity to work at the intersection of engineering physics, algorithms, and AI-driven workflows
- Exposure to real-world industrial applications in manufacturing and design
We welcome applications from candidates with disabilities and in equity seeking groups. If you have accessibility needs during the application and interview process, we encourage you to make your needs known.
Skills Required
- Strong programming skills in C++
- Strong programming skills in Python
- Experience with Qt
- Experience with VBA
- Proficient experience using Visual Studio and Visual Studio Code
- Proficient experience with Git and Azure DevOps
- Hands-on experience with RESTful APIs
- Experience with distributed systems
- Experience with agent-based architectures/agent frameworks
- AI-native development experience using modern AI tools and coding assistants
- Hands-on experience in Agile development methodologies
- Solid analytical and problem-solving capabilities
- Master's degree in Engineering, Applied Mathematics, Physics, Software Engineering, or Computer Science
- Clear and effective English communication (written, verbal, presentation)
- Knowledge of metal forming processes
- Familiarity with finite element methods (FEM) and simulation techniques
- Experience with numerical methods or physics-based modeling
Cadence Design Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cadence Design Systems and has not been reviewed or approved by Cadence Design Systems.
-
Equity Value & Accessibility — A discounted ESPP with a lookback feature and equity included in total compensation make ownership broadly accessible and potentially meaningful. Structured compensation at an industry leader adds predictability to equity participation.
-
Healthcare Strength — Medical, dental, and vision coverage are described as solid, with mental‑health/EAP and fertility support enhancing the offering. The breadth across core care and family‑building needs strengthens the healthcare package.
-
Leave & Time Off Breadth — Global Recharge Days, volunteer time off, and companywide breaks indicate a comprehensive time‑off framework. In addition, many salaried roles are described as having flexible or generous PTO policies.
Cadence Design Systems Insights
What We Do
Cadence enables electronic systems and semiconductor companies to create the innovative end products that are transforming the way people live, work and play. Cadence® software, hardware and IP are used by customers to deliver products to market faster. The company's Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to intelligent systems—in mobile, consumer, cloud, data center, automotive, aerospace, IoT, industrial and other market segments. Cadence is listed as one of Fortune Magazine's 100 Best Companies to Work For.
.jpg)
