Table of content:
- Technical Solutions Specialist (Google Cloud Platform)/li>
- Software Engineer (Next Innings)
- Formal Verification Engineer Lead (Hardware)
- Senior Software Engineer (Open Connect Edge Accelerator)
- Database Specialist Solutions Architect
- Applied Scientist
- Edge Infrastructure Software Engineer
- Quality Assurance Analyst (Amazon Astro)
- Artificial Intelligence/ Machine Learning (AR/VR Engineer)
Companies in today's technology-driven world are looking for ways to scale and analyze data faster, cheaper, and better. The best way to do so is to move away from the cloud and toward the network and internet's edge, where experts believe the data of the future will be generated. The adoption of edge computing technology is primarily due to the advanced technologies and systems provided by strong edge computing companies.
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The FAANG companies are mostly using edge computing technology to outperform the world's previous record of innovation. FAANG companies have a variety of job opportunities for cutting-edge edge computing professionals.
Here are some of the top edge computing jobs at FAANG companies available right now.
Technical Solutions Specialist (Google Cloud Platform)
Location: Bengaluru, India
Company: Google
Application Link: Tech Specialist at Google
The chosen professionals will work with Google Cloud enterprise customers to own their issues and find solutions on an end-to-end basis as Technical Solutions Specialists.
Selected individuals will find themselves to be a part of a global team that will provide 24x7 support to help premium enterprise customers seamlessly transition to and retain Google Cloud.
When customers are unable to resolve issues on their own, the candidates' job will be to collaborate with them to understand their issues, identify solutions, and ensure they use the proper processes to quickly resolve the issue.
Software Engineer (Next Innings)
Location: Bengaluru, India
Company: Google
Application Link: Software Engineer
Candidates will be able to collaborate with a talented team of software engineers to design and build services, applications, and tools that will allow customers to build their solutions on Google Cloud using the various technologies available on the platform.
They would also work on some of the following (not limited to) technologies such as Google cloud storage, data analytics, cloud security, and application management platform.
Formal Verification Engineer Lead (Hardware)
Location: Bengaluru, India
Company: Google
Application Link: Lead Engineer
Candidates applying for the position of Formal Verification Lead Engineer will be responsible for performing formal verification of design properties for complex ASIC designs.
They will work with design and verification engineers to define meaningful properties that capture a logic block's design intent as well as constraints on its input stimulus.
Candidates will also contribute to the definition and improvement of design and verification methodologies that will allow professionals to achieve formal verification closure, and will also have to work with multiple design teams.
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Senior Software Engineer (Open Connect Edge Accelerator)
Location: United States (Remote)
Company: Netflix
Application Link: Senior Engineer
Open Connect Appliances (OCAs) are well-positioned to reduce latency between clients and Netflix services hosted on AWS.
To be considered for this position, candidates must have a thorough understanding of Internet protocols such as TCP, TLS, HTTP, and DNS, as well as experience building and maintaining highly distributed, scalable, low-latency, fault-tolerant production systems. Excellent communication and documentation skills geared toward cross-team collaboration will also be necessary.
Database Specialist Solutions Architect
Location: Jersey City, NJ
Company: Amazon Web Services
Application Link: Database Architect
Amazon Web Services is looking for a pre-sales Solutions Architect to work with customers and other AWS teams to help customers refactor existing workloads and design new cloud-based solutions.
The successful candidate will become a trusted advisor to customers and will collaborate with AWS specialist sales, business development, and product teams to execute a go-to-market strategy for customers.
Applied Scientist
Location: Seattle, WA
Company: Amazon
Application Link: Applied Scientist
Amazon is looking for a talented Applied Scientist to help invent, design, and deliver cutting-edge science solutions to help millions of customers find their next favorite book.
Volunteers will be part of Amazon’s fresh team of scientists, analysts, engineers, economists, and business partners who will be able to use Amazon's large-scale computing and data resources to generate a deep understanding of customers and products, as well as build models to generate recommendations and run them as large-scale A/B tests directly on the retail website.
Edge Infrastructure Software Engineer
Location: Singapore
Company: Apple
Application Link: Infrastructure Engineer
This is a fantastic opportunity for a technical candidate to join Apple's Edge Services team as an Edge Infrastructure Software Engineer. The company seeks a software engineer with a unique combination of experience and interest in networking, architecture, systems, and software development practices.
Quality Assurance Analyst (Amazon Astro)
Location: Arlington, VA
Company: Amazon
Application Link: Quality Analyst
Amazon is looking for an enthusiastic Quality Assurance Analyst (QAA) to join its devices team. Candidates must be adaptable, detail-oriented, and experienced in working with internal customers (Hardware, Software, and Product teams) for tool testing and team technical support.
Artificial Intelligence/Machine Learning (AR/VR Engineer)
Location: Seattle, WA
Company: Apple
Application Link: AI Engineer
Apple's engineering team is in search of a Senior Software Engineer to help the company push the boundaries of the platform's next generation of interactive computing. This group is utilizing some of Apple's most advanced technologies, such as machine learning (ML), virtual reality (VR), augmented reality (AR), and computer vision (CV).
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