Early Career System Architect: Hardware for AI Inference

Fractile Ltd.; Greater London; Hybride; GBP 45 000 - 65 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Equity ownership

Private medical, dental & vision

25 days holiday + bank holidays

Résumé du poste

Fractile Ltd. in London is seeking an Early Career System Architect to help define hardware architecture for AI inference accelerators.

You will work with senior architects across hardware, firmware and software, and participate in early prototyping, bring-up and system testing as ideas become real hardware. Ideal candidates have a degree in Electronic/Computer Engineering or Physics, exposure to digital design flows, SystemC or MATLAB, and strong communication to explain ideas clearly.

Qualifications

• A degree (or final-year) in Electronic Engineering, Computer Engineering, Physics, or related field
• Exposure to system-level design concepts—power, thermal, I/O, memory, or interconnect architectures
• Some familiarity with digital design flows
• Comfortable working across hardware, firmware, and software; strong communication
• Desirable: exposure to AI acceleration, HPC, or data-centric architectures; FPGA prototyping; SystemC or MATLAB

Responsabilités

• Assist senior architects in defining chip interfaces, interconnects, and system integration
• Gain hands-on exposure to early prototyping, bring-up, and system testing as ideas become real hardware

Connaissances

Strong communicator

Cross-disciplinary collaboration

Digital systems knowledge

System architecture

Formation

Electronic Engineering / Computer Engineering / Physics degree

Outils

SystemC

MATLAB

FPGA prototyping

Digital design flows

Description du poste

Fractile Ltd. in London is seeking an Early Career System Architect to help define hardware architecture for AI inference accelerators.

You will work with senior architects across hardware, firmware and software, and participate in early prototyping, bring-up and system testing as ideas become real hardware. Ideal candidates have a degree in Electronic/Computer Engineering or Physics, exposure to digital design flows, SystemC or MATLAB, and strong communication to explain ideas clearly.