Director of AI and Scientific Computing Optimization
3 weeks ago
The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery.
We are looking for a Director of AI and Scientific Computing Optimization to lead our team in optimizing first-in-class Compute and AI platforms that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing.
The ideal candidate will have a deep understanding of software engineering, scientific computing, and AI, with expertise in performance and optimization. They will be responsible for building and leading a team of world-class software engineers focused on optimizing a best-in-class Compute and AI Platforms at scale, quality, and cost.
Key Responsibilities:
- Build, lead, develop, and retain world-class software engineers
- Serve as a top expert for the optimization team, and contribute technical expertise to teams in closely aligned technical areas
- Lead design of major optimization software components of the Compute and AI Platforms, contribute to development of production code and participate in both design reviews and PR reviews
- Accountable for delivery of scalable solutions to the Compute and AI Platforms that supports the entire application lifecycle (interactive development and explorations/analysis, scalable batch processing, application deployment) with particular focus on performance at scale
- Partner with both AI and Compute platform teams as well as scientific users to help optimize and scale scientific workflows by utilizing deep understanding of both software as well as underlying infrastructure
Why You?
Basic Qualifications:
- Bachelor's, Master's or PhD degree in Computer Science, Software Engineering, or related discipline
- 8+ years of experience using specialized knowledge in cloud computing, scalable parallel computing paradigms, software engineering, CI/CD with Bachelor's
- 6+ years of experience using specialized knowledge in cloud computing, scalable parallel computing paradigms, software engineering, CI/CD with Master's
- 4+ years of experience using specialized knowledge in cloud computing, scalable parallel computing paradigms, software engineering, CI/CD with a PhD
- At least 2 years of experience with recruiting, managing, and developing engineers or other deeply technical contributors
Preferred Qualifications:
- Deep experience using at least one interpreted and one compiled common industry programming language
- Hands-on experience with application performance tuning and optimization, including in parallel and distributed computing paradigms and communication libraries
- Expert understanding of AI training optimization, including distributed multi-node training best practices and associated tools and libraries
- Understanding of ML model deployment strategies, including agent systems as well as scalable LLM model inference systems deployed in multi-GPU, multi-node environments
- Deep expertise in modern software development tools / ways of working
- Cloud experience, including infrastructure-as-code and relevant tools and libraries
- Experience with CI/CD implementations using git and a common CI/CD stack
- Experience with Docker, Kubernetes, and the larger CNCF ecosystem
- Experience with low level application builds tools and understanding of optimization at the build and compile level
- Demonstrated excellence with agile software development environments using tools like Jira and Confluence
- Deep familiarity with the tools, techniques, optimizations in high-performance applications space
- Experience with establishing software engineering ways of working and best practices for a team
- Experience recruiting top engineering talent
- Experience with agile planning and execution processes for software delivery
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
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London, Greater London, United Kingdom GSK Full timeJob DescriptionThe Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have...
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