Software Engineer
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Apply to Software Engineer at Google DeepMindJob details
- Location
- Mountain View, California
- Work type
- Hybrid
- Compensation
- $149,400 - $175,000/yr
- Posted
- 6 days ago
- Apply on
- careers.google.com
About this role
Minimum qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering or a related field and 1 year of experience in the job offered or in a Software Engineer-related occupation.
- Position requires 1 year of experience in the following: Software development using Python, C, C++, Java, or JavaScript; Design algorithms to improve system scale and efficiency; Diagnose and triage system issues using root cause analysis; Extract relevant information from code in core languages; and Perform validity, verification, and performance testing.
About the job
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
The US base salary range for this full-time position is $149,400 - $175,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Responsibilities
- Develop product or system code for assigned sub-tasks and address scoped technical debt to enhance code health.
- Collaborate with stakeholders via code reviews to ensure best practices regarding accuracy, testability, and efficiency.
- Execute comprehensive testing and improve monitoring infrastructure to support long-term system maintainability and scalability.
- Triage and resolve system issues by analyzing root causes and their impact on hardware and service operations.
- Maintain technical documentation and educational content by adapting materials based on product updates and user feedback. Apply foundational Generative AI concepts to assist in the implementation of basic multi-modal solutions.