Key skills
AIArtificial Intelligence
About this role
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 2 years of experience working in firmware.
Preferred qualifications:
- Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $132,000 - $189,000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
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.
Responsibilities
- Identify flaws and issues with hardware components. Solve and analyze key issues, risks, or trade-offs, and address common hardware failures by suggesting corrective solutions.
- Apply best practices to optimize or constrained hardware components to meet performance, power, and cost-effectiveness requirements.
- Provide documentation of the hardware design, its implementation, or test/validation results throughout the product life-cycle.
- Review hardware designs (e.g., block diagrams, schematics, layouts, bill of materials (BOM), algorithms, protocols, link budgets) to anticipate and address issues/risks.