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CH
Guest Service Agent - Seasonal Part-Time
Crescent Hotels & Resorts
Rossland, BC
- Part-time
As a Guest Services Agent, you will have the opportunity to make a positive impact on each guest’s experience by providing exceptional customer service and creating memorable moments. Each…
Added 33 mins ago
NB
Senior AI Advisor
National Bank of Canada
Montreal, QC
- Full-time
Demonstrate strong expertise in designing, developing, and evaluating AI agent-based solutions to automate, scale, and enhance responsible AI assessments, governance, monitoring, and risk…
Added 1 hour ago
C
Data Engineer
Citylitics
Remote, Canada
- $90,000 to $110,000 CAD / year
- Full-time
- Remote
Working knowledge of agent patterns (tool use, multi-step workflows, retrieval/RAG, MCP) and their production tradeoffs, such as cost, latency, and failure modes.
Added 1 hour ago
RB
Senior Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
AI and LLM development: Experience building autonomous AI agent systems, with working knowledge of LLMs (transformers, tokenization, embeddings), prompt engineering, fine-tuning, RAG, and…
Added 1 hour ago
P
Engineering Manager, Conversational AI
Pebl
Remote, Canada
- $154,000 to $205,000 CAD / year
- Full-time
- Remote
Our values guide how we operate, execute, and collaborate across borders
Added 3 hours ago
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front desk agent
Canadas Best Value Inn & Suites
Charlottetown, PE
- Part-time
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- Full-time
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Customer Experience Centre Agent - Surrey
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Surrey, BC
- $18.25 to $19.5 CAD / hour
The Jim Pattison Auto Group is looking for a motivated, customer-focused Customer Experience Centre Agent to join our growing team!
Added 10 hours ago
Director, Human Resouces
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…municipal parking operator in North America. A City Board and Agent of the City, TPA is mandated to construct, operate, manage, and maintain the City’s public bike share program, municipal…
Added 11 hours ago
Software Engineer
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ON
You use AI agents in your daily engineering work and can show how you direct and verify them, including times you caught an agent getting it wrong.
Added 12 hours ago
AT
Vulnerability Researcher - Global (All Levels)
AMT Trend Micro Incorporated (USA)
Canada
- Full-time
…language model, but also the industry’s first security companion agent evaluated directly by customers. Trend Vision One integrates endpoint, cloud, network, email, identity, AI…
Added 13 hours ago
MI
Service Agent - Bilingual
My Insurance Broker
Hamilton, ON
- $20 to $22 CAD / hour
The Service Agent plays a vital role in delivering excellent customer service by assisting Ontario residents with a wide range of government services. This role ensures that residents can…
Added 14 hours ago
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Agent/agente de sécurité en magasin, Prévention des pertes - Contrat 12 mois
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Brossard, QC
- $37,590 to $52,626 CAD / year
- Full-time
Un permis d’agent de sécurité (provincial) est requis pour ce poste (le cas échéant)
Added 14 hours ago
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Vancouver, BC
- Contract
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Endpoint security. Endpoint protection platforms and endpoint and extended detection and response (EDR/XDR), including agent deployment, policy configuration, upgrades, compatibility and…
Added 14 hours ago
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- $55,000 to $65,000 CAD / year
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- Full-time
Communicates claim action/processing with insured, client, and agent or broker when appropriate.
Added 15 hours ago
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As a member and client experience advisory agent, you help give members and clients a better experience, and ensure that they are satisfied. This includes making sure they feel welcome,…
Added 15 hours ago
Investigator
Office of the Information Commissioner of Canada
Gatineau, QC
The Information Commissioner of Canada, as an independent Agent of Parliament, is responsible for ensuring compliance with the right of access set out in Part 1 of the Access to Information…
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Advisory Agent, Member and Client Experience
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Synopsys

R&D Engineering, Staff Engineer

Ottawa, ON, Canada

Base Salary Range $100000-$150000

Apply on careers.synopsys.com About employer

Applications open in a new tab.

Job details

Pay: Base Salary Range $100000-$150000
Posting language: English
Posted: Oct 21, 2026

Original job description

Date posted 10/20/2026

Category Engineering Hire Type Employee Job ID 19424 Base Salary Range $100000-$150000 Remote Eligible No Date Posted 10/20/2026

We Are

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, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You have spent years building and scaling the infrastructure that makes complex engineering work possible, and you understand that the best platform is the one engineers do not have to think about. It just works, scales when it needs to, and gets out of the way. You know the difference between automation that saves five minutes and automation that changes how a team operates, and you have built both.

You are comfortable sitting with an IP designer who is stuck on a Monte Carlo run that should have finished yesterday, diagnosing what broke, and walking out with a plan to prevent it from happening to the next hundred engineers. You do not wait for perfect requirements. You talk to the people doing the work, figure out where the friction is, and build something that actually helps.

You have started paying attention to AI and LLMs, not because they are trendy, but because you see where they could actually make simulation setup less painful or debugging faster. You are curious enough to experiment and pragmatic enough to know when a script is still the right answer.

At Synopsys, 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.

What You'll Be Doing

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

What You'll Need

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

Who You Are

You can walk into a room where a simulation flow is broken, ask three questions, and know where to start looking
You think about the engineer who will use what you build at 2am before a deadline, and you design for that moment
You are comfortable saying "this AI approach is not ready yet, let's solve it with a better script" when that is the right call
You work well across time zones and disciplines, translating between what a designer needs and what the platform can deliver without losing either side of the conversation
You are the kind of engineer who sees a recurring support ticket and thinks "I should automate this" instead of just answering it again
You stay current on new technologies and tools because you are genuinely curious, not because someone told you to, and you know how to evaluate what is worth adopting

The Team You'll Be Part Of

You will join the Simulation Platforms team within Central CAD / Design Enablement. The team develops and supports the simulation infrastructure that enables semiconductor IP development across the company. Working closely with engineers and tool-development partners around the world, you will help drive next-generation simulation technologies, platform scalability, and AI-enabled engineering workflows. You will be onsite in Ottawa, ON.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Synopsys Canada ULC values the diversity of our workforce. We are committed to provide access & opportunity to individuals with disabilities and will provide reasonable accommodation to individuals throughout the recruitment and employment process. Should you require an accommodation, please contact hr-help-canada@synopsys.com.

Apply on careers.synopsys.com About employer

More about this job

Responsibilities

The Staff Engineer at Synopsys will build and improve the simulation tools that IP designers use every day. They will automate setup and debugging, speed up cloud-based simulation runs, and support teams through tapeout sign-off work.

Requirements

Candidates need 7-8+ years of experience with a bachelor's degree, 5-6+ with a master's, or 3-4+ with a PhD, in an engineering or computer science field. They need strong skills in CAD or simulation infrastructure, scripting in Python, Tcl or Shell, and Linux environments.

Skills

Python
Tcl
Shell scripting
Linux
Synopsys EDA design suite
Circuit simulation
Analog and mixed-signal design
Monte Carlo analysis
Post-layout simulation
Testbench automation
Custom design flows
Distributed computing
Cloud-based workloads
Machine learning
AI-assisted automation
LLMs
Agent-based systems
Workflow automation
Debugging
Design automation
CAD tools
Technical documentation
Cross-functional collaboration
EDA vendor collaboration

Benefits

Comprehensive health and wellness benefits
Financial benefits
Total rewards

Keywords

simulation infrastructure
analog mixed-signal
AMS simulation
circuit simulation
Monte Carlo
post-layout simulation
reliability analysis
testbench automation
custom design
Python
Tcl
Shell scripting
Linux
distributed computing
cloud simulation
AI automation
LLM
Synopsys
EDA
IP design

Seniority

Senior

Perks

Wellness program

Tools

Synopsys EDA design suite
Linux
Python
Tcl
Shell

Fields of study

Electrical Engineering
Computer Engineering
Computer Science

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Work requirements

Jobs in Canada