Publié il y a 21 mois
Researcher – 3D Vision and Autonomous Driving
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
En bref
Huawei Technologies Canada is hiring a contract Researcher for a 12-month term in its Noah's Ark lab, focused on computer vision and autonomous driving. The role involves independent research, building generative AI models for scene and asset generation, and integrating vision work into the wider driving system. A PhD or Master's in a related field and a strong publication record are expected.
Responsabilités :
- Independently lead computer vision and autonomous driving research
- Architect generative AI models for scene, asset and behavior simulation
- Integrate vision solutions with planning and perception teams
- Mentor junior engineers and interns
- Contribute patents and publications
Résumé des exigences :
- Master's or PhD in computer science, robotics or related field
- Deep knowledge of computer vision algorithms and 3D reconstruction
- Proven generative AI experience with diffusion models and 3DGS
- Strong Python and C++ programming skills
- Publication record at top conferences such as CVPR, ICCV, NeurIPS
Outils et compétences
Source et dates
Site carrière / système de candidatures · recruitee
- Date publiée par l’employeur
- 2025-02-07
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Recherche et sciences |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (préféré), Doctorat (préféré) |
| Domaines d’études | Computer Science, Robotics, Computer Vision, Machine Learning |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Huawei Technologies Canada Co., Ltd.
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| Champ | Valeur |
|---|---|
| Secteur | Telecommunications |
| Taille | 10001+ |
| Siège social | Shenzhen, Guangdong |
| Offres sur Jobsy | 185 |
| Voir la page |
Huawei Canada has an immediate 12-month Contractor opening for a Researcher.
About the team:
Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.
About the job:
Independently contribute to research and development efforts within the areas of computer vision and autonomous driving.
Architect and implement generative AI models for virtual scene generation, asset generation, and dynamic behavior simulation.
Collaborate closely with cross-functional teams (e.g., planning, perception) to integrate computer vision solutions into the broader autonomous driving system.
Mentor and guide junior engineers and interns, fostering a collaborative and innovative team environment.
Contribute to the development of our intellectual property portfolio through patent filings and publications.
Stay abreast of the latest research and advancements in computer vision and machine learning. Proactively identify opportunities for innovation.
Independently manage projects and deliver high-quality results within established timelines.
About the ideal candidate:
Advanced degree (Ph.D./Master preferred) in Computer Science, Robotics, or a related field with a focus on computer vision and machine learning.
Deep understanding of computer vision algorithms and techniques, including object detection, tracking, segmentation, and 3D reconstruction.
Proven expertise in generative AI and their application to image, video and 3D generation (3DGS, Diffusion Model).
Strong programming skills in Python and C++, with experience using deep learning frameworks (PyTorch, TensorFlow).
Excellent problem-solving and analytical skills, with the ability to tackle complex technical challenges.
A strong publication record in top computer vision and machine learning conferences (e.g., ICCV, ECCV, CVPR, ICRA, NeurIPS).
Journal
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