Data science internship Work, Jobs in Cambourne, Eng (with Salaries)

GPU Internship - Platform Architecture
Apple —Cambridge
- Doctoral degree
- Computer Science
- Engineering
Simulation Engineer
RemoteStar —Cambourne
- Full-time
- Computer Science
- System design
- Analysis skills
Application Builder, Ring Application Services
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- Bachelor's degree
- AI
Full Stack Developer – CT Office Incubation Team
Aveva —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- Travel
- Annual leave
PHP/SQL Web Developer
Options Technology —Cambridge
- Full-time
- Computer Science
- Research
- Project management
Quick apply
Software Development Engineer, AWS S3 Tables
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- Bachelor's degree
- Software development
AI Automation Software Development Engineer, Ring
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- Bachelor's degree
- Software development
Software Dev Engineer (ED), Amazon Devices - Ring & Blink
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- Engineering
- Java
3d
Embedded Software Engineer, Ring
Evi Technologies Limited - C67 —Cambridge
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
Software Development Engineer, Ring
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- AWS
- Bachelor's degree
Embedded Software Development Engineer, Ring
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- System design
- Bachelor's degree
Senior Drone Software Dev Engineer, Ring Robotics Platform Engineering
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- C++
- Bachelor's degree

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Scientific Data Engineer
BIOVIA —Cambridge
Staying Current: Stay up-to-date with the latest advancements in relevant scientific domains, data science, and informatics to continuously improve our platform…
Research Associate in Machine Learning for Materials Simulation (Fixed Term)
University of Cambridge —Cambridge
Candidates should hold, or be close to obtaining, a PhD in physics, chemistry, materials science or a related discipline.
£34,610 - £46,049 a year
7d

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GPU Internship - Platform Architecture

Apple -
Cambridge

Apply Now

Job details

Internship

Qualifications

Performance tuning
Doctoral degree
Computer Science
Engineering
Data structures
Data analysis skills
OOP
Analysis skills
SoC
Bachelor's degree
Perl
Ruby
Multidisciplinary collaboration
Electrical Engineering
Design patterns

Full job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product! Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.

The UK GPU team works on IPs that are part of Apple’s world-class GPU designs for Apple Silicon SoCs. We are seeking highly motivated, innovative and confident individuals to join us in the GPU Platform Architecture Team. You will be at the centre of a chip design effort working with all disciplines, with a critical impact on getting high performant products to millions of Apple customers efficiently.

Locations:
This internship can be based in London Bishopsgate, St Albans or Cambridge. You may express your location preferences if selected for interview.

Start dates:
Winter 2025 or Spring / Summer 2026.

Key Dates:

Applications will close by mid-October.
Initial interviews will take place in October, with final round interviews in November.

Description
We 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.

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

Minimum Qualifications
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

Apply Now

Refine Your Search

data science internship jobs in cambourne, eng

GPU Internship - Platform Architecture

Simulation Engineer

Application Builder, Ring Application Services

Full Stack Developer – CT Office Incubation Team

PHP/SQL Web Developer

Software Development Engineer, AWS S3 Tables

AI Automation Software Development Engineer, Ring

Software Dev Engineer (ED), Amazon Devices - Ring & Blink

Embedded Software Engineer, Ring

Software Development Engineer, Ring

Embedded Software Development Engineer, Ring

Senior Drone Software Dev Engineer, Ring Robotics Platform Engineering

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