GPU HW Design Engineer

Position: Staff GPU HW Design Engineer
Role Overview :
Youll play a crucial role in designing, debugging, and optimising complex hardware modules to achieve superior performance, efficiency, and reliability. You must be a British Citizen. There is no visa sponsorship available for this role.

Key Responsibilities:

Collaborate with design, verification, and validation teams to develop advanced silicon solutions. Prepare detailed microarchitecture design specifications and execution plans aligned with project goals. Perform in-depth analysis and optimization of complex circuits, balancing frequency speed, area, power, and performance. Participate in design reviews, providing insightful recommendations for improvement. Maintain and enhance the design environment while tracking and resolving design bugs. Mentor and support graduate engineers and early-career team members, helping them navigate design challenges and learn industry best practices.

Foster a culture of learning by contributing to training programs, knowledge-sharing sessions, and technical guidance for junior team members. Leverage the latest techniques, tools, and technologies in silicon design. Plan, schedule, and complete assigned tasks within deadlines. Contribute to open discussions, present technical findings effectively and regularly communicate with cross-functional team members. Experience

Required:

Minimum of 10 years of industry experience Solid knowledge of digital integrated circuit design techniques and methodologies. Hands-on experience in RTL design at IP or SoC level using System Verilog. Proficiency in optimizing circuit designs and balancing key trade-offs for performance metrics. Expertise in ASIC or FPGA design tools and environments. Exposure to formal proof methodology for capturing design intent. Strong analytical skills, responsibility, and problem-solving capabilities.

Desired and further beneficial skills:
Knowledge of CPU, DSP, or FPU architectures and debugging/testing strategies. Hands-on experience with ASIC, FPGA, and physical design tools (P&R). Proficiency C, System

C, C++, Python, Perl, or TCL. Knowledge of place and route methodologies. Understanding of verification requirements through specification analysis. Experience in GPU/CPU design and associated methodologies such as UVM. Strong communication skills, both written and spoken, in English.