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Added 1 hour ago
VT
Java Full Stack Engineer - Artificial Intelligence
Viva Tech Solutions
Toronto, ON
- Contract
Experience with Azure DevOps, Git, CI/CD pipelines, automated testing, and deployment automation.
Added 1 hour ago
VT
Quality Engineer - AI Chatbot Validation
Viva Tech Solutions
Toronto, ON
- Contract
5+ years of relevant experience in Quality Engineering, Quality Assurance, test automation, or software development.
Added 3 hours ago
RB
Lead Quality Engineer - Automation (Data)
Royal Bank of Canada
Toronto, ON
- Full-time
The Lead Quality Engineer is responsible for creating and executing comprehensive end to end testing strategies and solutions, with focus on data validation, integrity testing, and quality…
Added 4 hours ago
A
Ingénieur En Mécanique / Mechanical Engineer
Actalent
Terrebonne, QC
- $46 to $77 CAD / hour
- Contract
Job Title: Mechanical Engineer Job Description
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 4 hours ago
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Senior Salesforce Engineer
Canadian Cancer Society
Quebec, QC
- Full-time
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Senior Salesforce Engineer
Canadian Cancer Society
Prince George, BC
- Full-time
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Senior Salesforce Engineer
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Halifax, NS
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 4 hours ago
C
Senior Silicon ML Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
…nexus of silicon design and machine learning. As a Silicon ML Engineer on our team, you’ll fuse knowledge of chip design and ML into end-to-end silicon design flows. If you thrive on…
Added 6 hours ago
T
Full Stack Engineer
Tookli
Mascouche, QC
- Full-time
…focuses on web and mobile development, artificial intelligence, automation, and custom digital solutions that streamline operations and support growth. Combining technical expertise,…
Added 7 hours ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
While experience with cloud automation in AWS is highly valuable, deep AI/ML expertise is the primary priority for this role. We are looking for an engineer who excels at utilizing modern…
Added 8 hours ago
R
Lead Automation Engineer
RBC
Toronto, ON
- Full-time
We are seeking an exceptional Principal Engineer to lead the design, development, and implementation of AI-driven software development lifecycle and intelligent automation solutions. This…
Added 9 hours ago
TR
Forward Deployed Engineer (Internal tools)
Trexo Robotics
Mississauga, ON
- $100,000 to $140,000 USD / year
- Full-time
We're looking for a Forward Deployed Engineer to work directly with our teams, uncover real operational bottlenecks, and build the automations, AI agents, dashboards, and tools that solve…
Added 9 hours ago
RB
Lead Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking an exceptional Principal Engineer to lead the design, development, and implementation of AI-driven software development lifecycle and intelligent automation solutions. This…
Added 9 hours ago
V
Senior Lead Data & AI Engineer
Vanguard
Toronto, ON
- Full-time
We are seeking an experienced Senior Lead Data & AI Engineer with 9-12+ years of experience in Data Engineering and modern cloud-based data platforms, with deep expertise in Databricks,…
Added 9 hours ago
C
Senior IT Systems Eng
Cognichip
Toronto, ON
- $150,000 to $185,000 CAD / year
- Full-time
We are hiring a Senior IT Systems Engineer to run and scale the systems that keep our team productive and secure across our Toronto and Redwood City offices and our remote staff. You will…
Added 9 hours ago
C
Staff Program Manager, Marketing Enablement
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
Hands-on technical depth: You've built things. Comfort with APIs, prompt engineering, and automation tools (Zapier, Make, or similar) is table stakes. Reading and writing code (Python,…
Added 9 hours ago
M
Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 10 hours ago
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Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 10 hours ago
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Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 10 hours ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a seasoned AI first Senior Quality Engineer who is empowered to help the DevOps enablement team deliver highest level quality and is responsible for ensuring the team…
Added 10 hours ago
AE
Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- Full-time
At American Express, we empower future technologists to learn, experiment, and make an impact from day one. As an AI Engineer Intern focused on AI Security Research in Enterprise Technology…

Cognichip

Senior Silicon ML Engineer

Toronto, ON, Canada

$150,000 to $180,000 CAD / year · Full-time

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Job details

Pay: $150,000 to $180,000 CAD / year
Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

Job Title

Senior Silicon ML Engineer

Senior Silicon ML Engineer

At Cognichip, we’re not just building AI - we’re redefining what’s possible at the nexus of silicon design and machine learning. As a Silicon ML Engineer on our team, you’ll fuse knowledge of chip design and ML into end-to-end silicon design flows. If you thrive on pushing the envelope of domain-specific research and translating cutting-edge ideas into production-grade systems, this is your stage.

Core Responsibilities

Design and implement AI-enabled silicon design and verification workflows with explicit incorporation of hardware domain knowledge and constraints
Lead system architecture and integration with internal silicon design tools and workflows in LLM-based agentic systems
Own end-to-end the curation, cleaning, and structuring of silicon design and verification datasets or ML/LLM/agentic system with domain-aware labeling and quality controls
Encode domain structure, rules, and expert feedback into ML/DL model pipelines, prompts, evaluation, and system logic
Collaborate directly with other chip design and verification engineers to ensure domain correctness and practical usability
Build AI for hardware research prototypes and convert them into scalable, production-quality systems integrated with design flows
Produce technical documentation and communicate design decisions and tradeoffs to cross-functional stakeholders

Required Qualifications

BS in Computer Science, Electrical Engineering, or a related field plus 4+ year of full- time industry experience OR MS in Computer Science, Electrical Engineering, or a related field plus 3+ year of full-time industry experience OR PhD in a relevant field with 2+ year of applied research or industry experience
Strong programming skills in Python (PyTorch or similar ML frameworks preferred)
Demonstrated ability to turn research prototypes to production systems
Experience working with messy, real-world data and defining quality metrics
Demonstrated exposure to hardware design, verification, or EDA workflows through coursework, research, or industry work
Proven track record of collaboration with with other deeply technical teams

Preferred Qualifications

Background or exposure to silicon design / EDA workflows (e.g., RTL, verification, specs, UVM, synthesis) and hardware description language, e.g., verilog or systemverilog
Industry experience with LLMs, agentic systems, or domain-adapted AI systems
Experience with synthetic or programmatic data generation, simulation-driven data, or otherwise automated dataset construction
Experience using Databricks or similar large-scale data processing platforms
Experience collaborating in fast-moving, cross-functional teams

What We Offer

Work on foundational and unsolved problems at the frontier of AI and hardware
Real ownership in your work that directly shapes core product capabilities.
Work with a team of high-caliber collaborators at the intersection of AI, cloud, and semiconductor design.
A culture of innovation, precision, and impact, where your work directly shapes the future of engineering.
Competitive compensation package, including equity participation.

Who This Role Is Great For

Engineers excited to work across ML, systems, and silicon
Mid-career ML engineers with strong fundamentals and real-world experience
Early-career PhD graduates who want to see research ideas actually ship
People who like ambiguity and turning vague problems into concrete systems

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More about this job

Responsibilities

Design and integrate AI-enabled silicon design and verification workflows, incorporating hardware domain knowledge into agentic systems, datasets, model pipelines, and evaluation. Collaborate with chip design and verification engineers to turn hardware AI research prototypes into scalable production systems and document technical decisions.

Requirements

Requires a relevant bachelor's degree plus at least four years of industry experience, a master's degree plus at least three years, or a PhD plus at least two years of applied research or industry experience. Candidates need strong Python skills, experience moving research prototypes into production, real-world data quality experience, exposure to hardware design or EDA workflows, and a record of technical collaboration.

Skills

Python
PyTorch
Machine Learning
Deep Learning
Large Language Models
Agentic Systems
Silicon Design
Hardware Design
Design Verification
Electronic Design Automation
RTL
UVM
Verilog
SystemVerilog
Data Curation
Production Systems

Benefits

Equity Participation

Visa sponsorship

Not detected in the job text

Keywords

Python
PyTorch
Machine Learning
Deep Learning
Large Language Models
Agentic Systems
Silicon Design
Hardware Design
Design Verification
Electronic Design Automation
RTL
UVM
Synthesis
Verilog
SystemVerilog
Data Curation
Data Cleaning
Domain-Aware Labeling
Quality Metrics
Synthetic Data Generation
Simulation-Driven Data
Databricks
AI-Enabled Workflows
Production Systems
System Architecture
Hardware Domain Knowledge

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