Job Details:

Job Description: 

The DASE AI architecture group is focused on execution in strategic growth areas of GPU-accelerated AI and graphics for enterprise, and datacenter customers, as well as high-performance computing (HPC).

In this position, the candidate would help define the architecture for next generation SoCs used within Intel's advanced computing and graphics products.

The candidate is expected to actively collaborate with other architects as well as design and software engineers working on complex discrete graphics SoCs.

Candidate responsibilities include the following:
- Work with a global team of architects and software engineers to successfully deliver cutting edge SoCs.
- Responsible for helping to define globals architecture such as RAS, security, debug, clocking, power management, boot, reset, register interface, fuse, telemetry, DFY that will be delivered into future products.
- Good understanding of SoC and IP architectures, high performance network-on-chip design, performance and power modeling, IP integration, DV and constraints.
- Drive architecture and methodology to improve power and performance.
- Close collaboration with planning teams, architects, verification, DFT, software, physical design and post-silicon teams.
- Drive resolution of issues with IP and SoC development teams to meet schedule and quality.

The candidate should exhibit:
- Excellent verbal and written communication skills.
- Proactive drive to achieve high-quality results through strong team-work.
- Proven ability to drive solutions to complex cross-functional technical problems working with senior technical peers/partner organizations.
- Solid breadth of design expertise spanning all phases of the design cycle.
- Flexibility to work in a dynamic environment and seamlessly multitask.

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:
BS with 10+ years of experience or master's with 5+ years of experience higher in EE, CE, CS or equivalent.
10+ years' experience in SoC design and architecture.
Advanced Knowledge of Computer Architecture
Multiple successful tape outs
VLSI design experience
Preferred Qualifications:
Experience with Graphics IP and Discrete Graphics SoC architecture
Low power design
Cache coherence
memory system design
CXL and PCIE
Python , C++

Preferred Qualifications:
Experience with Graphics IP and Discrete Graphics SoC architecture
Low power design
Cache coherence
memory system design
CXL and PCIE
Python , C++
 

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

Business group:

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.