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Publié il y a 8 mois

Machine Learning Infrastructure Researcher

@ Lightmatter

Toronto, Ontario

10+ ans d’expérience
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SIGNAUX

En bref

Lightmatter is hiring a Principal Machine Learning Infrastructure Researcher for its Machine Learning team. The role models the performance of photonics-enabled systems on AI training and inference workloads, designs rack-scale reference platforms, and leads a small team of ML engineers. The posting requires a PhD and at least 10 years of experience and describes a hybrid workplace.

Responsabilités :

  • Build tools to model performance of Passage-enabled systems on training and inference workloads
  • Design reference platforms with product and solutions architecture teams
  • Serve as the machine learning expert on projects
  • Publish academic papers and marketing collateral
  • Lead a small team of machine learning engineers

Résumé des exigences :

  • PhD in Computer Science, Electrical Engineering or related field
  • At least 10 years of industry or research experience
  • Hands-on machine learning and deep learning experience
  • Knowledge of LLM training and inference frameworks
  • Academic publications in relevant venues

Outils et compétences

Source et dates

Site carrière / système de candidatures · greenhouse

Date publiée par l’employeur
2026-03-10
Première détection par notre source
2026-11-04
Mise à jour du dossier source
2026-11-04

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauChef d’équipe
DomaineDéveloppement logiciel
Expérience10 an(s) et plus
Gestion d’équipeOui
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationDoctorat (exigé)
Domaines d’étudesComputer Science, Electrical Engineering
Avantages mentionnésCongés payés généreux, Régime de retraite, Actions ou participation, Aide au transport en commun, Formation payée

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Lightmatter

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

A Giant Leap

Description complète de l’entreprise

We are building the engine that will power discoveries, drive progress, and redefine what computers—and human beings—are capable of.

Abonnés LinkedIn
37 408
Personnes associées sur LinkedIn
228
Bureaux déclarés
  • 800 W El Camino Real, Mountain View, California 94040, US
  • 100 Summer St, Boston, Massachusetts 02136, US
  • 18 King St E, Suite 1200, Toronto, Ontario M5C 1C4, CA
Catégories d’activité
  • Semiconductor
  • Data Center
  • Artificial Intelligence
  • Software
  • Hardware
  • Artificial Intelligence (AI)
  • Machine Learning
  • AI Infrastructure
Autres noms enregistrés
  • Lightmatter
Le profil indique une agence de recrutement
Non
Investissement total déclaré
822 000 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

We are building the engine that will power discoveries, drive progress, and redefine what computers—and human beings—are capable of.

ChampValeur
SecteurComputer Hardware Manufacturing
Taille201-500 employees
Siège socialMountain View, California
Type d’organisationPrivately Held
Fondée en2017
Offres sur Jobsy12
LinkedInVoir la page
Description

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.

Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!

If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.

Lightmatter is (re)inventing the future of computing with light!

Lightmatter is seeking a Principal of Machine Learning Infrastructure Researcher to join our Machine Learning team. This team is focused on inventing novel hardware systems using Lightmatter technology and modeling the performance of Lightmatter-enabled systems on both training and inference workloads.

This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips. This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research.

Responsibilities:

  • Stay up to date on the latest advancements in Machine Learning research.
  • Build tools to model the performance of Passage-enabled systems when running both training and inference workloads for the latest AI models.
  • Collaborate with our product and solutions architecture teams to design compelling reference platforms for our customers, powered by Lightmatter technology.
  • Function as the Machine Learning expert in the room.
  • Publish academic papers at top industry conferences and journals. Help support the publication of whitepapers, blog posts, and other marketing collateral.
  • Lead a small team of Machine Learning engineers

Qualifications:

  • PhD in Computer Science, Electrical Engineering, or a related field and at least 10 years of industry or research experience in the field.
  • Solid background in Machine Learning systems research and experience with performance evaluation and performance modeling.
  • Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large Language Model training and inference frameworks.
  • Academic publications in relevant journals and industry conferences.
  • Strong knowledge of AI systems, including compute (GPUs, TPUs, etc.) and networking (Ethernet, Infiniband, NVLink, etc.) technologies, and their various topologies, paradigms, and trade-offs.
  • Proven track record leading a team to deliver published results.

Preferred Qualifications:

  • Demonstrated ability to creatively problem-solve and apply first-principles thinking to generate novel ideas, particularly in ambiguous, evolving environments.
  • Exceptional skills in communicating complex research outcomes and technical concepts to partners and internal stakeholders, while embodying our value of speaking truth.
  • Ability to work across research, product, and business functions, rolling up your sleeves to bridge gaps and accelerate outcomes, while demonstrating the core value of "We are one Lightmatter."
  • Adaptable and versatile, thriving in a high-speed, high-precision environment.
  • Experience in managing engineers and leading projects, with the ability to lift up the team, and work with high standards and high collaboration.

Benefits

  • Comprehensive Health Care Plan (Medical, Dental & Vision)
  • Retirement Savings Matching Program
  • Life Insurance (Basic, Voluntary & AD&D)
  • Generous Time Off (Vacation, Sick & Public Holidays)
  • Paid Family Leave
  • Short Term & Long Term Disability
  • Training & Development
  • Commuter Benefits
  • Flexible, hybrid workplace model
  • Equity grants (applicable to full-time employees)

Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.

Export Control

Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.

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