Backend Engineer

DescriptionWe will be hiring for the below internship in 2025/2026 and across the available start dates: Winter 2025 or Spring / Summer 2026. Are you ready to be at the forefront of architecting the next generation of Apple GPUs? This role will require you to analyze the performance of existing and future looking workloads and propose, alongside with world-class GPU and SoC Architects, new features and research on novel ideas to boost to new heights the performance of our GPUs. To do so, you'll use performance and energy models to evaluate, iterate and tune the different ideas until the proposal is mature enough to be presented to senior GPU Architects to decide on its feasibility. You'll also cross-collaborate as a larger architecture and performance team to maintain and improve the simulation environment and look for ways to boost the productivity of the entire team., Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and youll be part of something bigger. As a valued member of our global colleague network, youll bring your..., Description As a GPU Architect, you will collaborate with a team responsible for various aspects of the GPU hardware, including hardware-accelerated ray tracing and programmable shader cores. Your role will involve identifying areas for enhancing the performance and power...

Currently pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, or a related field.

At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate.

Strong coding skills including object-oriented programming with C and C++.

Knowledge of scripting languages such as Perl, Python or Ruby.

Strong understanding of common data structures, algorithms, and design patterns.

A curiosity about GPU / CPU / SOC architecture and micro-architecture.

Strong interpersonal and analytical skills, with an ability to make data-driven decisions.

Ability to work well within a team and be productive under tight schedules.

Preferred Qualifications

Knowledge of performance modelling, logic design and power.

Curiosity about machine learning and classification algorithm.

Experience optimising rendering/parallel compute algorithms, drivers and/or compilers for one or more GPU architectures.

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., A leading tech company is offering an exciting internship opportunity focused on architecting next-gen GPUs. Interns will analyze performance workloads and collaborate with seasoned GPU architects to propose innovative features. Candidates should be pursuing a degree in...

£100,000

Machine Learning Engineer (PyTorch LLM) London onsite to £110k Do you have expertise with Machine Learning in production? You could be progressing your career at a London based tech start-up with £5 million in recent pre-seed funding, in an impactful role that you'll...