Vor 30+ Tagen

Software Developer III, Infrastructure, Synthetic Data Generation

SIGMA7 GmbH

Internet, IT

Zürich
Vollzeit
78.500 CHF – 129.000 CHF (von XING geschätzt)

Vor Ort

Über diesen Job

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with data structures or algorithms.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications:

Experience on leading infrastructure projects that impact multiple stakeholders.
Experience with the artist side of digital content creation tools.
Publications on conferences/journals, books, or tutorials on computer graphics, game engines, or large-scale data generation systems.

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 Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products—from apps to TVs, from laptops to phones—that have an impact on people’s lives across the world.

Responsibilities

Design, implement, and vet systems, enhancements, and features to advance the capabilities of our synthetic data generation infrastructure and pipelines.
Establish relationships with stakeholders and keep recurring updates on the implementation of new features for the synthetic data generation pipelines and data deliveries, making sure the expectations of the customers are aligned with the engineering work being done.
Collaborate cross-functionally with other engineers, artists, researchers, and product teams to enhance our systems, inform asset creation, and spread the usage of synthetic data within Google for either product or research purposes.
Keep a culture of engineering excellence within the team by participating and fostering engineering best practices and processes.
Advise and guide more junior engineers and/or student researchers/interns.

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.