GPU Internships - Architecture Validation, Performance Modelling & Platform Architecture

These internships are within Apple's UK GPU team, which works on IPs for Apple's world-class GPU designs for Apple Silicon SoCs. You will be at the centre of a chip design effort, working with all disciplines and having a critical impact on delivering high-performance products to millions of Apple customers.

We are hiring for roles starting in Autumn/Winter 2026 or Spring/Summer 2027.

Architecture Validation

• Interpret hardware functional specifications with architects, micro-architects, and designers.
• Build bit-accurate C/C++ models of the GPU or design workloads to verify new GPU features.
• Partner with verification and software teams to identify bugs in workloads, models, and hardware.
• Collaborate to verify architectural solutions and communicate recommendations.

Performance Modelling

• Define and optimise Apple's GPU micro-architecture.
• Seek out areas for GPU performance improvement by collecting data and measurements.
• Work with designers in micro-architecture and RTL to assess the feasibility of ideas.
• Analyse workloads across existing and new product categories to identify bottlenecks.
• Architect new simulator features and brainstorm ideas to boost simulation performance.
• Collaborate with the performance team to maintain and improve the simulation environment.

Platform Architecture

• Analyse the performance of existing and future workloads.
• Propose new features and research novel ideas to enhance GPU performance with GPU and SoC Architects.
• Use performance and energy models to evaluate and iterate on ideas.
• Present proposals to senior GPU Architects.
• Collaborate with the architecture and performance team to maintain and improve the simulation environment.

Minimum Qualifications

• Currently pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, or a related field.
• Must return to school after the internship or the internship must be the final requirement for graduation.
• Strong coding skills with C or C++.
• Strong understanding of common data structures, algorithms, and design patterns.
• Curiosity about GPU / CPU / SOC architecture and micro-architecture.
• Knowledge of scripting languages such as Perl, Python or Ruby.

Preferred Qualifications

• Strong interpersonal and analytical skills.
• Ability to work well within a team and be productive under tight schedules.
• Familiarity with SystemVerilog / Verilog / VHDL.
• Prior experience on hardware architectural modelling and hardware description languages.
• Experience with one or more GPU APIs (Metal, DX12, Vulcan, CUDA, OpenGL, OpenCL).
• Knowledge of performance simulation environments.
• Knowledge of software design patterns.