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Jobs/Software Engineer Role/Isomorphic Labs - Software Engineer (Fleet Management), London
Isomorphic Labs

Isomorphic Labs - Software Engineer (Fleet Management), London

London - Hybrid3mo ago
In OfficeEMEACloud ComputingBiotechnologyArtificial IntelligenceSoftware EngineerSoftware Engineering InternLogistics EngineerGCPKuberneteshypothesisHarnessBusiness Development

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Requirements

• Essential: • Possess real world experience of large scale AI/ML workloads • Have experience working in cloud compute infrastructure design, preferably GCP • Possess strong programmings skills • Have significant experience working and deploying in Kubernetes • Familiarity with the Nvidia GPU generations • Have a background in either ML SWE or infrastructure SRE work to build on • Have experience leading and delivering projects to multidisciplinary stakeholders • Familiarity with Google TPU generations • Familiarity with: workload scheduling; machine learning efficiency research; familiarity with ML-driven R&D cycles; familiarity with hardware benchmarking • Culture and values • Culture and values • We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. • ThoughtfulThoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. • Thoughtful • BraveBrave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. • Brave • DeterminedDetermined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. • Determined • TogetherTogether at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. • Together • Creating an extraordinary company • We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. • We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. • Hybrid working • Hybrid working • It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. • would require you to be able to come into the office 3 days a week • Please note that when you submit an application, your data will be processed in line with our privacy policy. • >> Click to view other open roles at Isomorphic Labs

Responsibilities

• You will focus on the end-to-end GPU/TPU (accelerator) strategy, designing infrastructure, optimizing performance, and integrating new hardware to leverage advancements. In partnership with our Machine Learning Platform team, regularly work in the environment to push and support deployments. Regularly be building, monitoring and managing cluster deployments. • Support the technical strategy around hardware acquisition and deployment decisions • Drive research and efficiency design around the infrastructure up to the point of service to the ML platforms teams • Contribute to the efforts for consistently improving the reliability of our ML runs • Operate and handle research, development, and production cloud infrastructure and systems • Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations • Contribute to core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)

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