GPU Tools Engineer – Driver & Performance

Camwebdir; United Kingdom; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Arm is seeking highly skilled engineers to join our Agile driver development team producing key components for the next generation Mali GPUs. You will support the design, development and evolution of tooling that supports the full lifecycle of Arm’s GPU development—from early hardware design and performance modelling to final verification.

This role provides ownership over software systems at the intersection of GPU hardware, driver stacks and real-time dataflow analysis, with collaboration

Qualifications

• Demonstrated proficiency in complex software projects, ideally in systems or embedded development.
• Strong C/C++ programming skills and software engineering principles.
• Excellent problem-solving, debugging and performance profiling abilities.
• Strong communication and collaboration across organisational boundaries.

Responsibilities

• Design and implement robust, scalable tooling for GPU driver development and hardware bring-up.
• Engage in technical discussions, break down problems and trade-offs with partners.
• Review design and code, coordinate with cross-functional teams for high-quality integration.
• Develop deep understanding of system-level requirements and influence roadmap planning.
• Collaborate across SW and HW teams to deliver innovative, practical solutions.

Skills

C/C++

Embedded development

Performance profiling

Cross-team collaboration

Systems programming

Tools

Python scripting

Linux kernel interfaces

Perf tracing tools

Job description

Arm is seeking highly skilled engineers to join our Agile driver development team producing key components for the next generation Mali GPUs. You will support the design, development and evolution of tooling that supports the full lifecycle of Arm’s GPU development—from early hardware design and performance modelling to final verification.

This role provides ownership over software systems at the intersection of GPU hardware, driver stacks and real-time dataflow analysis, with collaboration