Publié il y a 2 mois
Member of Technical Staff - Robotics
@ Veeda AI
Toronto, Ontario
En bref
Veeda AI is hiring a Member of Technical Staff for Robotics to build and maintain robotic systems and data-collection workflows. The role involves hardware experiments, reproducible benchmarks and close collaboration with researchers, with travel for hands-on robot setup and testing.
Responsabilités :
- Build and maintain robotic systems and data-collection workflows
- Design and run hardware experiments on performance and robustness
- Develop reproducible benchmarks and investigate failure modes
- Collaborate with researchers on robotics and machine learning
Résumé des exigences :
- PhD or equivalent hands-on robotics experience
- Experience deploying learning-based robot policies on real hardware
- Strong Python and PyTorch skills
- Solid understanding of kinematics, sensing and calibration
- Willingness and ability to travel for robot deployment
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-09-07
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-22
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Génie |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Laboratoire |
| Position | Assis et debout |
| Exigences physiques | physique modéré · ordinateur élevé |
| Langues | English |
| Formation | Doctorat (préféré) |
| Domaines d’études | Robotics, Computer Science, Mechanical Engineering, Electrical Engineering |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Veeda AI
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.
Scaling Physical AI through Interactive Learning in Simulated Reality
Description complète de l’entreprise
Scaling Physical AI through Interactive Learning
- Personnes associées sur LinkedIn
- 3
- Autres noms enregistrés
- Veeda AI
- Le profil indique une agence de recrutement
- Non
Scaling Physical AI through Interactive Learning
| Champ | Valeur |
|---|---|
| Secteur | Artificial Intelligence |
| Taille | 11-50 employees |
| Type d’organisation | Privately Held |
| Fondée en | 2026 |
| Offres sur Jobsy | 10 |
| Voir la page |
Member of Technical Staff – Robotics
About Us
Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.
Responsibilities
Robotics Systems & Data: Build and maintain robotic systems and data-collection workflows that support research and evaluation.
Real-World Experimentation: Design and run hardware experiments to assess performance, robustness, and generalization.
Evaluation & Analysis: Develop reproducible benchmarks, investigate failure modes, and use findings to guide model and system improvements.
Research Collaboration: Work closely with researchers and engineers to connect advances in machine learning with practical robotics challenges.
Requirements
PhD degree or equivalent hands-on experience in Robotics, Computer Science, Mechanical or Electrical Engineering, or a related technical field.
Experience developing learning-based robot policies and deploying them on real hardware.
Strong Python and PyTorch skills, with proficiency in a robot software stack.
Solid understanding of robot kinematics, sensing, calibration, and system integration.
Ability to independently design, execute, and analyze reproducible robotics experiments.
Willingness and ability to travel for hands-on robot setup, testing, and deployment.
Nice to Have
Experience with manipulation, locomotion, or whole-body control.
Experience establishing a robotics lab or data-collection operation from scratch.
Experience with imitation learning, reinforcement learning, or robot foundation models.
Experience with robotics simulation and transferring learned behaviors across environments.
Experience working with multimodal sensor data, teleoperation systems, or tactile and force feedback.
Publications or substantial contributions to research on robot learning or embodied AI.
Contributions to open-source robotics projects or research infrastructure.
Journal
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