Senior Software Engineer, Graphcore
More information about location
2+ days a week in office
Advanced AI systems and services
Be an early applicant
Advanced AI systems and services
201-500 employees
Be an early applicant
More information about location
2+ days a week in office
201-500 employees
Company mission
To make machine learning faster, easier and more intelligent.
Role
Who you are
- At least 6 years of experience in production quality software development
- Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field
- Strong proficiency in Python
- Proficiency in C++
- Experience with Linux operating systems
- Must be a fast learner
Desirable
- Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow
- Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines
- Experience with hardware architectures or compilers
- Experience with test automation in a CI/CD environment
- Exposure to data analytic methodologies
- Some experience with people management or mentoring
What the job involves
- Applicants for this role should possess prior experience in software development, as the primary focus will involve testing a Machine Learning (ML) software development stack
- The position requires a strong interest in reliability and performance testing, as well as a genuine passion for debugging and problem-solving
- Ideal candidates will be self-motivated, enthusiastic, and able to work independently while also being effective communicators who can collaborate with team members
- They should also be the type of person who takes initiative and gets things done quickly and efficiently
- This opportunity is particularly well-suited for an experienced software engineers seeking to gain hands-on exposure to the exciting fields of Artificial Intelligence (AI), ML, and AI accelerator hardware
- The Software QA team is composed of highly skilled and dedicated software engineers with a strong passion for automation and data analysis
- They collaborate extensively with industry-standard machine learning frameworks and models, making contributions to upstream open-source projects
- Operating in a dynamic and fast-paced environment, the team consistently delivers high-quality results, ensuring exceptional customer experiences and impactful advancements in the product
- Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking)
- Build Continuous Integration/Delivery (CI/CD) against hardware simulators/emulators and physical hardware
- Take responsibility for designing and writing tests for projects within the Software team and ML frameworks
- Work closely with all Software development teams, supporting a culture of quality, security and maintainability
- Guide the team in industry best practices and improve the team's code quality and technical capabilities
- Evaluate the effectiveness of existing test strategies and infrastructure and make thoughtful improvements to ensure they continue to support team goals and organizational direction
Our take
Traditional hardware, mainly GPUs, used for training these models, comes at a high cost, both financially and environmentally, producing millions of dollars in expenses and hundreds of tons of greenhouse gases. In response, Graphcore is developing accelerator chips designed to expedite AI system training while significantly reducing power consumption.
AI accelerators like those crafted by Graphcore specialise in enhancing specific AI applications, such as artificial neural networks, deep learning, and machine learning. Utilising multicore designs and prioritising low-precision arithmetic or in-memory computing, these accelerators elevate the performance of large AI algorithms, achieving breakthrough results in natural language processing and computer vision.
Graphcore has ambitious plans to creat an AI supercomputer set to debut in 2024, aiming to be one of the most powerful in its class. The company is actively seeking strategic partnerships to bring this vision to fruition, signaling its commitment to shaping the future of AI computing.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Dec 2020
$222m
SERIES E
Feb 2020
$150m
SERIES D
Total funding: $682m
Company benefits
- Work-Life Balance: We believe you should have a good work-life balance. Everyone's situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office
- Wellbeing: We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing
- Healthcare: We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones
- Progression: We prioritise learning and development as an integral part of our culture at Graphcore. Our Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers
- Pension: We believe that our employees deserve the best when it comes to planning for their future
- Income Protection: Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place
Company HQ
Old City, Bristol, UK
Leadership
Nigel Toon
(CEO)Previously the President and CEO at picoChip Designs (processors for telecoms). As well as the VP and GM of Europe at Altera (semiconductors, merged with Intel).
Simon Knowles
(CTO)Founded two successful semiconductor companies, Element14 and Icera, for a combined value of over $1 billion.
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