About our group:

About the role - you will:

• Work full time on projects at Pune in assisting Seagate Research Architect/leads in the area of most cutting-edge research in storage technologies.
• Be responsible for investigating emerging technologies in storing data efficiently, which create data in new frontiers from AI/ML/mobility.
• Potentially explore new mechanisms in electronic hardware modeling and prototyping in processing the data using upcoming technologies such as computational storage securely. Your work includes but would not be limited to, survey and process public and enterprise forums to help build models around these technologies, generate new ideas and conceptualize them and with the help of senior engineers in the team, contribute in the development of architecture towards building proofs of concepts.
• Research/ investigate emerging technologies in storage components and system, Data creation models and storage security
• Document current and future storage architectures for different applications
• Provide research intelligence for future Seagate products or create reference architectures
• Work with subject matter experts at all Seagate (worldwide) sites
• Create internal and external research papers and work with your affiliated school to bring academic research in these areas for applications in storage industry

About you:

• Creative, independent and self-starter individual with excellent written and interpersonal communication who would be looking forward to work in corporate set up
• Must be authorized to work in India while pursing education
• Teamwork is a core competency at Seagate, individual must be able to work and communicate effectively with a diverse group of engineers
• Must have demonstrated ability to study a functional area in depth
• Ability to present to colleagues and partners
• Graduate School Research level experience with innovative techniques in AI/ML as well as Exposure to storage domain and FPGA based systems are added plus

Your experience includes:

• Working knowledge of Unix-based and Windows Operating Systems
• Graduate School Research level experience with innovative techniques in AI/ML as well as Exposure to storage domain and FPGA based systems are added plus

Location: