Software Engineer III, AI/ML, Google Cloud, Automotive — Google Switzerland

NewCHF 73'500 - 111'500

Google Switzerland · Zürich (ZH)

Categoria: Ingegneria Contratto: full-time Salario: CHF 73'500 - 111'500

SalaryCHF 73'500 - 111'500

Google Zürich, Switzerland 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.

Google Zürich, Switzerland Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.
Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Google Zürich, Switzerland Minimum qualifications:
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).