Senior Hardware ASIC Arch/Design Engineer

Reposted 19 Days Ago
Be an Early Applicant
Hyderabad, Telangana, IND
In-Office
Senior level
Automotive • Internet of Things • Mobile • Semiconductor • Industrial
The Role
Design and optimize hardware architecture for AI inference chips, collaborating with software teams to enhance performance and scalability.
Summary Generated by Built In

Architecture & Micro-Architecture

·         Define product feature and capabilities and own the architecture for compute, memory, interconnect & high-speed interface subsystems in the AI inference chip.

·         Collaborate with various software teams to co-optimize hardware features for AI workloads.

·         Collaborate with RTL designers to identify complex technical issues/risks. Review and guide RTL implementation, ensuring consistency with architectural intent and timing/power goals

·         Collaborate with Physical-design teams for Area/Floorplan refinement, Timing targets etc.

·         Define and document interface specifications, control/status logic, and pipeline structures.

·         Lead PPA analysis and trade-off discussions across RTL and architecture.

AI Workloads & HW-SW Co-Design

·        Collaborate closely with various software to co-optimize hardware features for real-world AI inference workloads.

·        Incorporate considerations such as, quantization, sparsity, dataflow, scheduling, memory bandwidth into architectural decisions.

·        Guide hardware features that improve programmability, debuggability, and long-term software scalability.

Modelling & Analysis

·         Develop and maintain high-level architecture and performance models.

·         Use simulation and architectural models to guide RTL-level improvements.

·         Validate model predictions against RTL or emulation results and refine accordingly.

·         Strong understanding of AI inference workloads, dataflows, quantization, and memory/bandwidth bottlenecks in edge deployments

More information about NXP in India...

#LI-2734

Skills Required

  • Experience in defining architecture for compute, memory, and high-speed interface subsystems
  • Strong understanding of AI inference workloads and related optimizations
  • Experience collaborating with software and hardware teams for co-optimization
  • Ability to develop high-level architecture and performance models
  • Experience with RTL design and analysis
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The Company
HQ: Eindhoven
21,993 Employees
Year Founded: 2006

What We Do

NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As a world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 34,500 employees in more than 30 countries and posted revenue of $13.21 billion in 2022. Find out more at www.nxp.com. Privacy Policy: https://www.nxp.com/company/about-nxp/privacy-policy-for-social-media-pages:PRIVACY-POLICY-SOCIAL-MEDIA

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