3 meilleures offres (computing systems engineer) (à pourvoir)

Technical Lead, XR Semantic Perception
Google —Zürich, ZH
- 100%
- Niveau Doctorat
- Recherche
- Niveau Master
il y a 1 jour
Software Engineer II, YouTube Studio, Full Stack
YouTube —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Java
18 h
Software Engineer II, Full Stack
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Java
18 h

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Technical Lead, XR Semantic Perception

Google -
Zürich, ZH

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Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 1 jour

Avantages

Logement

Qualifications

Niveau Doctorat
Recherche
Niveau Master
Niveau Licence
Développement logiciel

Description complète du poste

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience in computer vision and machine learning, with specialized focus in one or more of the below areas: 3D computer vision, multimodal learning, and scene/object understanding.
Experience in an industry or advanced research setting acting as a technical lead or equivalent, driving the complete research-to-product pipeline.

Preferred qualifications:

Master’s degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical discipline.
Experience designing and prototyping augmented or virtual reality products.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Semantic Perception team, part of Google XR, develops innovative core tech around computer vision and machine learning, in particular scene and object understanding, 3D computer vision, multimodal learning. The activity spans the whole range from research to product. The team is composed of Research Scientists and Software Engineers experts in the field. The team serves multiple perception-related products at Google, with a particular focus on XR products and applications.

For decades, the computing revolution has reshaped our world driven by
breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where
lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.

Responsibilities

Research, develop, and deliver computer vision and machine learning technologies for augmented and mixed reality platforms.
Act as a subject matter expert in taking Computer Vision/Machine Learning (CV/ML) models from research prototypes to production, focusing on mobile framework integration, edge optimization, and runtime robustness.
Serve as tech lead across critical XR feature tracks, guiding multidisciplinary teams of software engineers and research scientists from scoping through release.
Partner effectively with product, UX, and program management, while maintaining proactive alignment with executive leadership and key stakeholders across the engineering organization.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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