NV
NVIDIAChip Architect
Chip Architect designing Network Adapter chip architecture from requirements to deployment. Collaborating with teams for research, design specifications, and product life cycles at NVIDIA.
About the role
- Design and implement AWS serverless architectures to enhance system scalability and reduce operational costs.
- Conduct research on autonomous operations and AI-driven solutions to optimize business processes and workflows.
- Develop proof of concepts and prototypes to demonstrate the capabilities of serverless and autonomous systems.
- Collaborate with data scientists and AI specialists to integrate machine learning models into serverless applications.
- Analyze existing systems and propose enhancements by adopting serverless technologies and automation techniques.
- Prepare technical documentation and present findings to stakeholders, ensuring alignment with business goals.
- Stay current with industry trends and emerging technologies related to cloud computing, AI, and automation.
Requirements
- Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Experience: Minimum of 4 years of experience in cloud architecture, specifically with AWS services.
- Proven experience in designing and implementing serverless applications using AWS Lambda, API Gateway, and related services.
- Strong understanding of cloud-native design patterns and best practices.
- Experience with AI and machine learning frameworks and best practices is a plus.
- Proficiency in programming languages such as Python, JavaScript, or Java.
- Familiarity with infrastructure as code tools like AWS CloudFormation or Terraform.
- Knowledge of containerization technologies (e.g., Docker, AWS Fargate) and orchestration tools.
- Experience with monitoring and logging tools for serverless applications.
- Excellent analytical and problem-solving skills.
- Strong communication skills to convey technical concepts to non-technical stakeholders.
- A proactive and collaborative approach to work, thriving in a team environment.
- Ability to manage multiple projects while adhering to deadlines.
- Experience in implementing AI solutions in a serverless environment.
- Familiarity with DevOps practices and CI/CD pipelines.
Job title
Job type
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Not specified
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Tech skills
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