AI Processor Software/Hardware Engineer

JR United Kingdom; Cambridge; On-site; GBP 60,000 - 100,000; Full time

Job summary

A forward-thinking company is seeking a visionary AI Processor Software/Hardware Engineer to lead innovative projects in AI processor development. This role involves staying ahead of industry trends, managing complex projects, and guiding technical teams to address usability and performance challenges. The ideal candidate will have expertise in AI chip architectures, NLP, and a proven ability to translate academic research into commercial success. Join this exciting opportunity to shape the future of AI technology and make a significant impact in the industry.

Qualifications

• Experience in AI chip architectures and systems.
• Proficiency in solving technical bottlenecks in NLP.

Responsibilities

• Lead efforts in AI processor development and architecture.
• Manage projects and guide technical teams in AI software and hardware.

Skills

AI chip architectures

NLP

AI models and algorithms

Software-Hardware co-design

Workload analysis/slicing

Job description

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AI Processor Software/Hardware Engineer, Cambridge

Client: microTECH Global LTD

Location: Cambridge

Job Category: Other

EU work permit required: Yes

Job Views: 3

Posted: 05.05.2025

Expiry Date: 19.06.2025

Job Description:

As the Chief AI Processor Software & Hardware Co-design Architect, you will lead pioneering efforts in AI processors. Your responsibilities include:

• Leading AI Evolution: Stay ahead of industry trends, develop technical architectures for AI software and hardware, and address usability and performance challenges.
• Guiding Technical Teams: Manage complex projects, leverage global resources, shape architectural design, and ensure successful execution.

We Seek:

• Visionaries with experience in AI chip architectures and systems, familiar with industry applications and trends.
• Expertise in navigating AI models and algorithms, and understanding chip layer requirements.
• Proficiency in solving technical bottlenecks, especially in NLP and large-scale AI models.
• Leadership in strategic development, guiding R&D in AI software and hardware systems.

Desirable Technical Background:

• Software-Hardware co-design, workload analysis/slicing.
• Knowledge across AI sub-fields: algorithms, frameworks, runtime, modeling, simulation, compilers.
• Experience translating academic research into commercial success.