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Added 6 mins ago
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Back-End Software Engineer
Manulife
Toronto, ON
- Full-time
As a Back-end Software Engineer within Group Functions Technology, you will be a key member building technology which supports our global operations. The ideal candidate has a curious mind,…
Added 50 mins ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Strong development skills in Python (most important), along with Java, Node.js, Go, and C/C++
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Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes,…
Added 50 mins ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes,…
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Forward deployed Engineer
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Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
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Forward Deployed Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes,…
Added 50 mins ago
TD
Robotics QA Automation Engineer
TELUS Digital
Canada
- Full-time
…Specialist to join our team. In this role, you will work closely with Quality Specialists that have established rubrics and industry leading best practices for robotics data collection and…
Added 50 mins ago
LT
Data Engineer
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Toronto, ON
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Added 51 mins ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
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Consultant - PySpark / Databricks Developer (Intermediate - Senior)
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- Full-time
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Added 1 hour ago
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Marketing Data Analytics Engineer (CA)
PointClickCare
Mississauga, ON
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PointClickCare's Marketing organization is hiring a Marketing Data Analytics Engineer to build and maintain the data infrastructure behind marketing analytics and pipeline reporting. This…
Added 1 hour ago
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Design Validation Co-op
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Vancouver, BC
- Full-time
Prior experience with test automation and creating test scripts using Python.
Added 1 hour ago
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AI Automation Engineer
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- Full-time
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Added 1 hour ago
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AI Agent Engineer
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- Full-time
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Added 1 hour ago
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- Full-time
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Toronto, ON
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Added 1 hour ago
Bilingual Data Engineer
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Ottawa, ON · Montreal, QC
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Added 1 hour ago
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Senior Engineer, Application Security
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Remote, Canada
- Full-time
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Added 1 hour ago
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QA Automation Engineer - ETL/Database
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Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The…
Added 1 hour ago
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Senior QE + AI Engineer
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Toronto, ON
- $75 to $80 CAD / hour
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Added 1 hour ago
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QA Automation Engineer - Database & ETL Testing
Infoya
Toronto, ON
- $100,000 to $115,000 CAD / year
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About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The…
Added 1 hour ago
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Senior Network Engineer
Xanadu
Toronto, ON
- $95,000 to $115,000 CAD / year
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MLOps Engineer
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Strong Python; able to work with C++ codebases.
Added 1 hour ago
P
MLOps Engineer
Planitar
Waterloo, ON
- Full-time
Strong Python; able to work with C++ codebases.
Added 2 hours ago
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Adobe Site Reliability Engineer
Tata Consultancy Services
Toronto, ON
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- Full-time
TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55…

Axiomatic_AI

Field Application Engineer (Integrated Photonics)

Toronto, ON, Canada

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Job details

Experience: Minimum 5 years of experience in photonic product development; experience reaching market deployment is highly valued.
Posting language: English
Posted: Oct 9, 2026

Original job description

About us

Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows.

Our mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030.

We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products.

Position Overview

We are seeking an experienced Field Application Engineer with expertise across the PIC development lifecycle - from device and circuit design through simulations, tapeout, characterization, and yield analysis. This role is intended for engineers who have product experience and understand the realities of developing manufacturable photonic systems in production environments.

You will work at the intersection of photonic engineering, scientific AI, and verification-driven workflow development. Partnering with customer engineering teams, applied scientists, and Axiomatic’s Technology groups, you will help transform complex photonic development processes into structured, AI-assisted workflows built on the Axiomatic Intelligence platform.

The role is both technical and customer-facing. You will engage directly with PIC designers, Foundry and EDA partners, and engineering leadership to identify critical bottlenecks, architect deployable solutions, and integrate AI-assisted workflows into real engineering environments.

This is an ideal opportunity for experienced photonics engineers who want to extend their impact beyond traditional PIC design and help shape the next generation of AI-native engineering tools for photonics and semiconductor development. The role offers a path toward technical leadership in AI-assisted engineering, workflow architecture and scientific AI systems.

Your Mission

Architect AI-assisted workflows for photonic design, verification, and yield improvement on the Axiomatic Intelligence platform, enabling customer engineering teams to accelerate development while maintaining technical rigor and manufacturability.
Translate complex photonic engineering processes - including simulation setup, compact modeling, variability analysis, layout-aware optimization, and measurement interpretation into verifiable workflows that combine physics-based methods with Axiomatic-native reasoning systems.
Work directly with customer engineering teams to identify high-value bottlenecks and deliver deployable solutions that integrate with existing EDA tools, simulation environments, PDK ecosystems, and best engineering practices.
Build physics-grounded and measurement-enriched models that improve design confidence, accelerate iteration cycles, and enable scalable analysis across process corners and fabrication variability.
Collaborate closely with Axiomatic’s technology, infrastructure, and product teams to convert customer-driven prototypes and technical insights into reusable platform capabilities and scalable product features.

Key Requirements

MSc or PhD in a science or engineering field (e.g., integrated photonics, electrical or telecommunications engineering).
Minimum 5 years of experience in photonic product development; experience reaching market deployment is highly valued.
Experience with COMSOL, Ansys, RSoft, Cadence Virtuoso, Synopsys OptoCompiler, Luceda IPKISS or similar
Experience with advanced component design, high-speed modulators or photodiodes.
Experience working directly with EDA vendors or photonic foundries to deliver detailed technical solutions.
Experience with multi-objective co-design.
Excellent written and verbal communication skills; an effective listener able to work directly with engineers, engineering managers, and enterprise stakeholders.
A naturally friendly, helpful, and collaborative attitude.

Nice to Have

Hands-on experience with modern AI tools (LLMs, APIs, agentic systems, orchestration frameworks).
Ability to design solutions that connect device-level physics, circuit-level constraints, and system-level automation.
Programming experience, primarily in Python (scientific computing, workflow orchestration, API integration).
Familiarity with cloud infrastructure, APIs, and deployment workflows.
Familiarity with enterprise deployment models (cloud, hybrid, on-prem) and HPC or cluster-based compute environments.
Experience working with research teams, applied scientists, or R&D organizations on production software.

What we offer

Competitive compensation
Stock Options Plan: Empowering you to share in our success and growth.
Cutting-Edge Tools: Access to state-of-the-art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation.
Professional Growth: Opportunities to attend industry conferences, present research findings, and engage with the global AI research community.
Impact-Driven Culture: Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware.

Work model & location expectations:

Team work model:
Hybrid

Primary location:
Boston/Toronto/Singapore

Why join us?

At Axiomatic_AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30 x 30 mission. This is your opportunity to contribute to the development of new AI architectures that can reason coherently and produce interpretable and verifiable solutions. Consequently, see those ideas commercialized into products that will shape the future of hardware and computing, while collaborating with a global team of engineers and AI specialists. We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, with focus on formal consistency. If you're ready to take your expertise in artificial intelligence and physics to the next level, we want to hear from you!

Worried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic-AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn’t perfectly match every qualification, we still encourage you to apply. You could be the perfect fit for this position or another opportunity with us.

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More about this job

Responsibilities

Architect AI-assisted workflows for photonic design, verification, and yield improvement on the Axiomatic Intelligence platform. Collaborate with customer engineering teams to identify bottlenecks and integrate deployable solutions into existing EDA and PDK ecosystems.

Requirements

Requires an MSc or PhD in a relevant science or engineering field and at least 5 years of experience in photonic product development. Candidates must have proficiency with industry-standard simulation tools and experience working with EDA vendors or foundries.

Skills

Integrated Photonics
Photonic Design
Circuit Design
Simulation
Tapeout
Characterization
Yield Analysis
COMSOL
Ansys
RSoft
Cadence Virtuoso
Synopsys OptoCompiler
Luceda IPKISS
Python
Scientific Computing
Workflow Orchestration

Benefits

Stock Options Plan
Professional Growth
Industry Conference Attendance
Collaborative Environment

Visa sponsorship

Not detected in the job text

Keywords

Integrated Photonics
Artificial Intelligence
Semiconductor
Photonic Systems
EDA
PDK
Physics-based Modeling
Deep Learning
Formal Logic
Python
API
Cloud Infrastructure
HPC
Variability Analysis
Layout-aware Optimization
Compact Modeling
High-speed Modulators
Photodiodes
Workflow Orchestration
Scientific Computing
Hardware Design
Simulation
Characterization
Yield Analysis
Multi-objective Co-design
Agentic Systems
Enterprise Deployment
R&D
Engineering Leadership
Technical Architecture

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