Software Engineer (GPU infrastructure), London

Responsibilities

• 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)

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
• 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.
• Thoughtful
• Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.
• Brave
• Brave at Iso is about fearlessness, but it's also about initiative and integrity. The scale of the challenge demands nothing less.
• Determined
• Determined 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.
• Together
• Together 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.
• Creating an e

Benefits

Additional Information

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we're building today. It starts with the culture at this company. It starts with you. About Iso Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI's powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world's most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we're getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. Software Engineer (Fleet Management), London

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