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Added 12 mins ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 58 mins ago
Project Engineer, Automation, Senior
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Winnipeg, MB
$95,000 to $120,000 USD / year
Full-time
As a Senior Project Engineer, you will bring advanced technical expertise and independent judgment to complex engineering challenges. You will lead technical execution within your area of…
Added 58 mins ago
Sr Game Designer
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Added 1 hour ago
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Added 2 hours ago
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Senior Embedded Software Designer
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Toronto, ON
Full-time
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Added 2 hours ago
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$50 to $70 CAD / hour
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Added 3 hours ago
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Ottawa, ON · CA-ON - Ottawa
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Added 5 hours ago
Senior Automation Engineer
Actalent
Ottawa, ON
$50 to $70 CAD / hour
Contract
…technologies. You will own automation development during early-stage hardware and board bring-up, working at the low-level operating system and board support package (BSP) layer rather than…
Added 5 hours ago
Senior PCB Layout Engineer
Actalent
Ottawa, ON
$85,000 to $125,000 CAD / year
Full-time
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Added 6 hours ago
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Added 8 hours ago
Hardware Validation Senior Engineering Manager
Synopsys Inc
Mississauga, ON
Full-time
At Synopsys, you will lead hardware engineering for silicon validation. Your boards will enable SERDES testing, power integrity validation, and customer demos that matter. The lab is well…
Added 8 hours ago
Senior Staff Hardware Validation Engineer
Synopsys Inc
Mississauga, ON
Full-time
You bring solid engineering design knowledge and hands-on experience to hardware designs supporting SERDES validation work. Designing a PCB means more than running a checklist for you. It…

Vention

Senior Research Scientist / Chercheur(-euse) scientifique principal(e)

Montreal, QC, Canada

Job type: Full-time
Posting language: English · French
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

*La version française suit

Company Description

Headquartered in Montreal, Detroit and Munich, Vention helps manufacturers automate their operations in record time with the only hardware and software AI-powered platform built for the factory floor. Our technology powers over 25,000 machines across 4,000 factories across 5 continents and we have the privilege to work with a significant proportion of Fortune 500 manufacturers, from space rockets, to electrical cars, to robotics.

At Vention, you’ll work alongside driven and talented people who care deeply about their craft and the impact they create. We’re a team of high achievers who grow through meaningful work, solving complex challenges, learning fast, and seeing the results of our efforts every day.

We move quickly and aim high, but we do it together with care, collaboration, and respect. Our culture celebrates diverse perspectives and supports your growth through intentional development, strong leadership, and opportunities to make a real difference.

What You’ll Do

Advance Autonomous Manipulation Capabilities: Research, prototype, and deploy advanced robotics algorithms for manufacturing, focusing on learning-based approaches for dexterous manipulation, including Learning from Demonstration (LfD), Reinforcement Learning (RL), and Foundation Model training.
Build AI Lifecycle Infrastructure: Design, implement, and maintain scalable infrastructure across the AI development pipeline, including data collection/teleoperation tools, high-fidelity simulation environments, logging frameworks, and visualization utilities.
Apply Cutting-Edge Research: Stay current with state-of-the-art academic research in robotics and machine learning, applying relevant breakthroughs directly to technical implementations and product features.
Uphold Software Rigor: Follow and promote software engineering best practices across both rapid R&D prototyping and production codebases to ensure high code quality, modularity, and maintainability.
Collaborate Across Technical Domains: Partner closely with multidisciplinary engineering teams (hardware, mechanical, electrical, software) to address complex, system-level robotics challenges.
Productize R&D Breakthroughs: Work alongside product management and software teams to convert experimental algorithms into reliable, scalable, and customer-ready manufacturing features.

What You Bring to the Table

Core qualifications

Advanced Foundation in Robotics/ML/RL: Master’s degree, PhD, or equivalent industry experience in Computer Science, Robotics, or Machine Learning, with deep expertise in Learning from Demonstration (LfD) or Reinforcement Learning.
Hands-on Robotic Arm Experience: Direct experience deploying learned dexterous manipulation policies on physical robotic arms in real-world environments.
Software skills: Ability to apply object-oriented programming concepts to build software systems, systematically debug complex issues, and get experimental R&D pipelines working effectively.

Nice-to-Have (can be developed on the Job)

Simulation Infrastructure: Experience with modern robotics simulators (e.g. MuJoCo, Isaac Sim) and the collection of simulated data for robot training.

What We Offer

Career pathing: Real opportunities to grow through personalized development plans, bi-annual employee reviews, and mentorship program
Professional development: Continuous training in performance management, inclusive leadership, leadership operating model, team building, and giving/receiving feedback
Gender diversity & inclusion: Pay equity reviews, inclusive policies, and a Women’s Employee Resource Group offering networking, mentorship, and quarterly learning sessions.
Hybrid work: Enjoy flexibility with our hybrid model, allowing you to work from home on select days.
Community engagement: Two paid volunteering days per year to give back to causes you care about.
Team events: All year round employee events including annual kick-off, employee summit, quarterly happy hours, and department events.
Comprehensive benefits: A complete group benefits plan for you and your family that start day one.
Top-up and benefits for new parents: Additional financial support and resources to support employees during their transition to parenthood.

What to Expect in Your Interview

Initial Call

Meet the Team

Case or take-home interview

Decision & Offer

We’re committed to making every step of the process inclusive and accessible. If you require accommodations at any stage, please let us know, we’ll ensure you have what you need to succeed.

Vention’s culture

Vention is an uplifting environment for high achievers. Thinking that Vention’s culture would keep you energized? See our full culture guide here

Demo Day 2025
Culture Video

************************************************

Read the full bilingual original

*La version française suit

Company Description

What You’ll Do

Advance Autonomous Manipulation Capabilities: Research, prototype, and deploy advanced robotics algorithms for manufacturing, focusing on learning-based approaches for dexterous manipulation, including Learning from Demonstration (LfD), Reinforcement Learning (RL), and Foundation Model training.
Build AI Lifecycle Infrastructure: Design, implement, and maintain scalable infrastructure across the AI development pipeline, including data collection/teleoperation tools, high-fidelity simulation environments, logging frameworks, and visualization utilities.
Apply Cutting-Edge Research: Stay current with state-of-the-art academic research in robotics and machine learning, applying relevant breakthroughs directly to technical implementations and product features.
Uphold Software Rigor: Follow and promote software engineering best practices across both rapid R&D prototyping and production codebases to ensure high code quality, modularity, and maintainability.
Collaborate Across Technical Domains: Partner closely with multidisciplinary engineering teams (hardware, mechanical, electrical, software) to address complex, system-level robotics challenges.
Productize R&D Breakthroughs: Work alongside product management and software teams to convert experimental algorithms into reliable, scalable, and customer-ready manufacturing features.

What You Bring to the Table

Core qualifications

Advanced Foundation in Robotics/ML/RL: Master’s degree, PhD, or equivalent industry experience in Computer Science, Robotics, or Machine Learning, with deep expertise in Learning from Demonstration (LfD) or Reinforcement Learning.
Hands-on Robotic Arm Experience: Direct experience deploying learned dexterous manipulation policies on physical robotic arms in real-world environments.
Software skills: Ability to apply object-oriented programming concepts to build software systems, systematically debug complex issues, and get experimental R&D pipelines working effectively.

Nice-to-Have (can be developed on the Job)

Simulation Infrastructure: Experience with modern robotics simulators (e.g. MuJoCo, Isaac Sim) and the collection of simulated data for robot training.

What We Offer

Career pathing: Real opportunities to grow through personalized development plans, bi-annual employee reviews, and mentorship program
Professional development: Continuous training in performance management, inclusive leadership, leadership operating model, team building, and giving/receiving feedback
Gender diversity & inclusion: Pay equity reviews, inclusive policies, and a Women’s Employee Resource Group offering networking, mentorship, and quarterly learning sessions.
Hybrid work: Enjoy flexibility with our hybrid model, allowing you to work from home on select days.
Community engagement: Two paid volunteering days per year to give back to causes you care about.
Team events: All year round employee events including annual kick-off, employee summit, quarterly happy hours, and department events.
Comprehensive benefits: A complete group benefits plan for you and your family that start day one.
Top-up and benefits for new parents: Additional financial support and resources to support employees during their transition to parenthood.

What to Expect in Your Interview

Initial Call
Meet the Team
Case or take-home interview
Decision & Offer

We’re committed to making every step of the process inclusive and accessible. If you require accommodations at any stage, please let us know, we’ll ensure you have what you need to succeed.

Vention’s culture

Vention is an uplifting environment for high achievers. Thinking that Vention’s culture would keep you energized? See our full culture guide here

Demo Day 2025
Culture Video

************************************************

Description de l’entreprise

Basée à Montréal, Detroit et Munich, Vention aide les fabricants à automatiser leurs opérations en un temps record grâce à la seule plateforme matérielle et logicielle alimentée par l’IA conçue pour l’usine. Notre technologie alimente plus de 25 000 machines dans 4 000 usines réparties sur 5 continents, et nous avons le privilège de collaborer avec une grande proportion des fabricants du Fortune 500, allant de la construction de fusées à l’automobile électrique, en passant par la robotique.

Chez Vention, vous travaillerez aux côtés de personnes passionnées et talentueuses qui ont à cœur leur métier et l’impact qu’elles créent. Nous formons une équipe de personnes ambitieuses qui évoluent grâce à un travail porteur de sens, en relevant des défis complexes, en apprenant rapidement et en constatant chaque jour les résultats de leurs efforts.

Nous avançons vite et visons haut, mais nous le faisons ensemble, avec soin, collaboration et respect. Notre culture valorise la diversité des perspectives et soutient votre développement grâce à un encadrement intentionnel, un leadership fort et des occasions concrètes de faire une réelle différence.

Ce que vous ferez:

Faire progresser les capacités de manipulation autonome : Effectuer la recherche, le prototypage et le déploiement d'algorithmes robotiques avancés pour le secteur manufacturier, en se concentrant sur les approches axées sur l'apprentissage pour la manipulation dextre, notamment l'apprentissage par démonstration (LfD), l'apprentissage par renforcement (RL) et l'entraînement de modèles fondateurs (Foundation Models).
Bâtir l'infrastructure du cycle de vie de l'IA : Concevoir, implémenter et maintenir une infrastructure évolutive (scalable) sur l'ensemble de la chaîne de développement IA, incluant les outils de collecte de données et de téléopération, les environnements de simulation à haute fidélité, les structures de journalisation (logging) et les outils de visualisation.
Appliquer la recherche de pointe : Assurer une veille constante sur la recherche académique de pointe en robotique et en apprentissage automatique (machine learning), en appliquant directement les avancées pertinentes aux implémentations techniques et aux fonctionnalités produit.
Maintenir une rigueur logicielle : Appliquer et promouvoir les meilleures pratiques d'ingénierie logicielle, tant pour le prototypage rapide en R&D que pour les bases de code en production, afin de garantir une qualité, une modularité et une maintenabilité élevées du code.
Collaborer entre domaines techniques: Travailler en étroite collaboration avec les équipes d'ingénierie multidisciplinaires (matériel, mécanique, électrique, logiciel) pour résoudre des défis robotiques complexes à l'échelle système.
Industrialiser les avancées de la R&D: Travailler aux côtés des équipes produit et logiciel pour transformer les algorithmes expérimentaux en fonctionnalités manufacturières fiables, évolutives et prêtes pour les clients.

Ce que vous apportez à l’équipe

Qualifications requises

Solides bases en robotique / ML / RL : Maîtrise, doctorat ou expérience industrielle équivalente en informatique, robotique ou apprentissage automatique, avec une expertise approfondie en apprentissage par démonstration (LfD) ou en apprentissage par renforcement (RL).
Expérience pratique sur bras robotiques : Expérience directe dans le déploiement de politiques de manipulation dextre apprises sur des bras robotiques physiques dans des environnements réels.
Compétences en ingénierie logicielle : Capacité à appliquer les concepts de programmation orientée objet pour bâtir des systèmes logiciels, déboguer méthodiquement des problèmes complexes et rendre fonctionnels les pipelines R&D expérimentaux.

Atouts (pouvant être développés en poste)

Infrastructure de simulation : Expérience avec les simulateurs de robotique modernes (ex. MuJoCo, Isaac Sim) et la collecte de données simulées pour l'entraînement de robots.

Ce que nous offrons:

Cheminement de carrière : De réelles possibilités d’évolution grâce à des plans de développement personnalisés, des évaluations biannuelles et un programme de mentorat.
Développement professionnel : Formations continues sur la gestion de la performance, le leadership inclusif, la construction d’équipes performantes et la rétroaction constructive.
Diversité et inclusion : Revues d’équité salariale, politiques inclusives et groupe-ressource pour les femmes offrant mentorat, réseautage et sessions d’apprentissage trimestrielles.
Travail hybride : Profitez de la flexibilité de notre modèle hybride vous permettant de travailler de la maison certains jours.
Engagement communautaire : Deux journées de bénévolat rémunérées par an pour redonner aux causes qui vous tiennent à cœur.
Événements d’équipe : Activités tout au long de l’année, incluant le lancement annuel, le sommet des employés, des 5à7 trimestriels et des événements par département.
Avantages sociaux complets : Régime complet d’assurances collectives pour vous et votre famille, dès votre premier jour.
Compléments et avantages pour les nouveaux parents : Soutien financier et ressources pour accompagner les employés dans leur transition vers la parentalité.

Déroulement du processus d’entrevue

Appel initial
Rencontre avec l’équipe
Étude de cas ou exercice à domicile
Décision et offre

Nous nous engageons à rendre chaque étape du processus inclusive et accessible. Si vous avez besoin d’adaptations, faites-le-nous savoir - nous veillerons à ce que vous disposiez de tout ce dont vous avez besoin pour réussir.

La culture de Vention

Vention est un environnement stimulant pour les personnes ambitieuses. Vous pensez que notre culture vous inspire ? Consultez notre guide complet de la culture ici.

Journée de démonstration 2025
Vidéo sur la culture

Apply About employer

More about this job

Responsibilities

Research, prototype, and deploy learning-based robotics algorithms for autonomous dexterous manipulation, while building scalable AI development infrastructure for data collection, simulation, logging, and visualization. Collaborate across engineering and product teams to turn research breakthroughs into reliable manufacturing features and maintain high software quality from R&D prototypes through production.

Requirements

A master's degree, PhD, or equivalent industry experience in computer science, robotics, or machine learning is required, along with deep expertise in Learning from Demonstration or Reinforcement Learning. Candidates need hands-on experience deploying learned manipulation policies on physical robotic arms and strong software engineering and debugging skills; experience with MuJoCo, Isaac Sim, or simulated robot-training data is an asset.

Skills

Robotics
Machine Learning
Reinforcement Learning
Learning from Demonstration
Dexterous Manipulation
Robotic Arm Deployment
Foundation Model Training
Object-Oriented Programming
Software Engineering
Systematic Debugging
AI Infrastructure
Data Collection
Teleoperation
Robotics Simulation
Research and Prototyping
Cross-Functional Collaboration

Benefits

Biannual Employee Reviews
Mentorship Program
Professional Development and Training
Inclusive Policies
Hybrid Work
Paid Volunteer Days
Employee Events
Group Benefits Plan
New Parent Financial Support and Resources

Visa sponsorship

Not detected in the job text

Keywords

Robotics
Machine Learning
Reinforcement Learning
Learning from Demonstration
Dexterous Manipulation
Autonomous Manipulation
Foundation Models
Robotic Arms
AI Development Pipeline
Data Collection
Teleoperation
High-Fidelity Simulation
Logging Frameworks
Visualization Tools
MuJoCo
Isaac Sim
Simulated Training Data
Object-Oriented Programming
Software Engineering
Debugging
R&D Prototyping
Production Code
Manufacturing Automation
Robotics Research
Productization
Cross-Functional Engineering

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