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AI Systems Engineer – AI Model (Training & Inference)
AMD
Markham, ON
$132,000 to $198,000 USD / year
Full-time
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating…
AI Systems Engineer – AI Model (Training & Inference)
Advanced Micro Devices, Inc
Markham, ON
Full-time
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating…
Développeuse ou développeur côté serveur (backend) Staff - Systèmes d’inférence ML / Staff Backend Engineer, ML Inference Systems
Unity Technologies
Montreal, Quebec
Full Stack AI Engineer / Applied AI Engineer
Xsolla
Montreal, Quebec
Full-time
Design and develop full-stack applications that power GenAI applications and platforms
QA Engineer (AI Systems)
Nexxa.AI
Remote, Canada
Full-time · Remote
We're looking for a Lead / Senior / Staff QA Engineer to own quality for Nexxa's AI agent systems - products that plan, call tools, and take multi-step actions autonomously in industrial…
Senior Software Engineer - AI / ML
CyberCoders
Canada
Full-time
We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science team, you'll bring deep…
Senior AI / ML Engineer
MCI Careers
Canada
Other
We are seeking a highly experienced Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI and machine learning solutions that drive innovation…
Principal Engineer, AI & ML Solutions
Royal Bank of Canada
Vancouver, BC
Full-time
10+ years software or platform engineering experience, with at least 5 years focused on AI/ML infrastructure, API platform engineering, or large-scale distributed systems
Principal Engineer, AI & ML Solutions
RBC
Vancouver, BC
Full-time
10+ years software or platform engineering experience, with at least 5 years focused on AI/ML infrastructure, API platform engineering, or large-scale distributed systems
Senior Data Engineer, AI Systems
Movable Ink
Toronto, Ontario
The AI Systems team owns the core recommendations engine and ML platform that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a…
Senior Data Engineer (Streaming + AI Systems)
Calliere
Toronto, Ontario · Greater Toronto Area, Ontario
Full-time
…data platform from the ground up. They’re hiring a Senior Data Engineer to lead the design and evolution of real-time data systems and scalable architecture supporting both operational…
Added 1 day ago
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
Full-time
Role SummaryProject X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing…
Staff Machine Learning Engineer – AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Physical Design Methodology Engineer, AI HW IP
Tenstorrent
Toronto, ON
A physical design or CAD methodology engineer who has built flows that production teams depend on daily.
AI & ML Intern - Electrical Engineer (Witner 2027)
Trench Group GmbH
Toronto, ON
Apply knowledge of power systems, electromagnetic theory, and circuit design to validate and verify AI/ML model outputs, ensuring results are physically meaningful and aligned with…
AI & ML Intern - Electrical Engineer
Trench Group GmbH
Toronto, Ontario
$22 to $26 CAD / hour
Apply knowledge of power systems, electromagnetic theory, and circuit design to validate and verify AI/ML model outputs, ensuring results are physically meaningful and aligned with…
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…including the creation of efficient indexing and retrieval systems, to enhance the organization's ability to quickly and accurately access relevant…
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
Full-time
…including the creation of efficient indexing and retrieval systems, to enhance the organization's ability to quickly and accurately access relevant…
Staff AI Platform Engineer - Inference & Agentic Systems
Paytm
Toronto, ON
Full-time
As a Staff AI Platform Engineer, you will work across inference and agentic systems. You will
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
Full-time
…rather than fear - whether you're an ML architect ready to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production…
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
…rather than fear - whether you're an ML architect ready to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production…
Senior Software Engineer - AI (Materia AI)
Thomson Reuters
Remote, Canada
Full-time · Remote
As a Senior Software Engineer – AI, you will design, implement, and optimize backend services that fuel AI‑native experiences across our Materia‑driven product ecosystem. You’ll be…
AI Engineer - AI Platform Engineering
RBC
Vancouver, BC · Toronto, ON
Full-time
This role is responsible for designing, building, and hardening platform infrastructure that powers enterprise agentic AI systems and persona-driven workflows to optimize productivity and…
AI Engineer - AI Platform Engineering
Royal Bank of Canada
Toronto, ON · Vancouver, BC
Full-time
This role is responsible for designing, building, and hardening platform infrastructure that powers enterprise agentic AI systems and persona-driven workflows to optimize productivity and…

Tenstorrent

Physical Design Methodology Engineer, AI HW IP

Toronto, ON, Canada

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

This role develops, deploys, and maintains the RTL-to-GDSII physical design methodology for AI hardware IP. The engineer will automate workflows to improve PPA exploration and ensure production-ready IP delivery.

Requirements

Candidates must have 5+ years of experience in physical design or CAD methodology with expertise in industry-standard EDA tools. Proficiency in scripting languages like Tcl, Python, or Perl and knowledge of advanced node methodology are required.

Experience

5 to 10 years

Working hours

40 hours per week

Job type

Full-time

Work arrangement

Hybrid

Skills

Physical design
CAD methodology
RTL-to-GDSII
FusionCompiler
ICC2
Innovus
Genus
PrimeTime
RedHawk
Tcl
Python
Perl
Low-power intent
Clock tree synthesis
Signoff
FinFET

Minimum pay

US$100,000

Maximum pay

US$500,000

Pay currency

USD

Pay period

YEAR

Visa sponsorship

Not detected in the job text

Keywords

Physical Design
CAD Methodology
AI HW IP
RTL-to-GDSII
RISC-V
FusionCompiler
ICC2
Innovus
Genus
PrimeTime
RedHawk
Tcl
Python
Perl
UPF
CPF
Clock Tree Synthesis
Signoff
EM/IR
DRC/LVS
FinFET
GAA
Automation
PPA
EDA
Semiconductors
Foundry
PDK
Machine Learning
LLMs

Original job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Our IP delivery timelines are set as much by flow maturity as by design work. This role develops, deploys, and owns the RTL-to-GDSII methodology the IP physical design team runs on, so a new block, node, or customer variant starts from a working flow instead of a cold start.

This role is hybrid, based out of Toronto, ON; Austin, TX, or Belgrade, Serbia.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

A physical design or CAD methodology engineer who has built flows that production teams depend on daily.
Automation-minded, happiest when you are removing manual steps and making PPA exploration repeatable.
Building with AI as part of how you develop flows, and opinionated about where LLMs and ML-driven optimization genuinely help versus where they do not.
An effective partner to design teams and EDA vendors, and a clear writer who documents flows well enough that others can run them without you.

What We Need

An Engineer with 5+ years developing and supporting physical design methodology or CAD flows in production use.
Expertise with industry-standard tools (FusionCompiler/ICC2, Innovus/Genus, PrimeTime, RedHawk) and scripting languages (Tcl, Python, Perl).
Deep understanding of advanced node methodology, low-power intent (UPF/CPF), clock tree synthesis, and signoff (EM/IR, DRC/LVS).
Experience standing up flows for new technology nodes, PDKs, or foundry targets ahead of program need, and qualifying new EDA releases.

What You Will Learn

How to build and scale EDA automation for AI accelerators and high-performance CPUs on advanced FinFET/GAA nodes.
ML-driven flow optimization and custom CAD development at production scale.
How to influence EDA vendor roadmaps through direct technical partnership.
How multi-variant, multi-foundry IP delivery works, and how flow readiness moves customer commit dates.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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