Postuler

Publié il y a 19 mois

Senior / Staff ML Onboard Optimization Engineer

@ Waabi

Toronto, Ontario

TélétravailTemps plein6+ ans d’expérience
Postuler
SIGNAUX

En bref

Waabi is hiring a Senior or Staff ML Onboard Optimization Engineer to make its self-driving models run efficiently on the next generation of onboard truck compute. The work covers deploying models to new GPUs and embedded systems, optimizing inference with TensorRT and modelopt, writing CUDA kernels and profiling runtime and memory. Requires 6+ years of industry experience, with flexible hours and work-from-home support offered; the US salary range is $184,000 to $272,000 USD.

Responsabilités :

  • Optimize self-driving models for onboard truck compute
  • Deploy models to new GPUs and embedded systems
  • Use TensorRT and modelopt to optimize inference
  • Create and benchmark CUDA kernels
  • Profile model runtime and memory to find bottlenecks

Résumé des exigences :

  • MS, PhD or Bachelor's in CS, Robotics or similar
  • 6+ years of industry experience
  • Proficiency in Python, C++ or Rust
  • Experience with PyTorch
  • Skilled in profiling with PyTorch Profiler and NVIDIA Nsight
  • Experience with NVIDIA Jetson or Thor

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesSoins de la vueCongés payésMieux-êtreOptions d’achat
Source et dates

Site carrière / système de candidatures · lever

Date publiée par l’employeur
2025-04-24
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-11-07

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience6 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré)
Domaines d’étudesComputer Science, Robotics
Avantages mentionnésCongés payés généreux, Horaire flexible, Prime de rendement, Actions ou participation, Mieux-être, Repas gratuits ou à rabais

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

Waabi

Financement et investisseurs

Tour de financement annoncé: Série C

Investisseur nommé dans le tour: Khosla Ventures, G2 Venture Partners, Uber, NVentures, Volvo Group Venture Capital, Porsche Automobil Holding SE, Radical Ventures, HarbourVest Partners, Linse Capital, Incharge Capital, Export Development Canada, TELUS Global Ventures, BMO Global Asset Management

Date de l’annonce: · Source vérifiée: 2026-11-02

Annonce de l’entreprise
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.

Built to think. Born to haul.

Description complète de l’entreprise

Waabi is pioneering Physical AI – starting with autonomous trucks. Press: [email protected] Business: [email protected]

Abonnés LinkedIn
28 690
Personnes associées sur LinkedIn
291
Bureaux déclarés
  • N/A, Toronto, CA
  • San Francisco, California, US
Catégories d’activité
  • Artificial Intelligence
  • Transportation
  • Automotive
  • Artificial Intelligence (AI)
  • Machine Learning
  • Autonomous Vehicles
Autres noms enregistrés
  • Waabi
Le profil indique une agence de recrutement
Non
Investissement total déclaré
1 033 036 757

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

Waabi is pioneering Physical AI – starting with autonomous trucks. Press: [email protected] Business: [email protected]

ChampValeur
SecteurTruck Transportation
Taille51-200 employees
Siège socialToronto
Type d’organisationPrivately Held
Fondée en2021
Offres sur Jobsy54
LinkedInVoir la page
Description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...

  • Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.
  • Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.
  • Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.
  • Create and benchmark new CUDA kernels for inference.
  • Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.

Qualifications:

  • MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
  • Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
  • Experience in deep learning frameworks such as PyTorch.
  • Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
  • Experience with Nvidia embedded platforms such as Nvidia Jetson or Thor.
  • Open-minded and collaborative team player with willingness to help others.
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:

  • Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.
  • Experience in identifying when custom CUDA kernels are needed, and implementing them.
  • Experience in Bazel build systems, and integrating third party packages into dev environments.

The US yearly salary range for this role is: $184,000 - $272,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:

Waabi provides a competitive benefits package that includes:

  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
  • As we grow, this list continues to evolve!

Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

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