Software Engineer (Scheduler), London

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 were building today. It starts with the culture at this company. It starts with you.

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 AIs 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 worlds 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 were getting closer to the promise of digital biology and achieving our ambitious mission to one day solve all disease with the help of AI.

You will join our newly formed Scheduling team to own and extend the systems that orchestrate compute allocation to complex machine learning workloads running on Kubernetes. You will be responsible for optimizing our compute footprint ensuring that dynamic batch inference and large-scale training runs are scheduled reliably and efficiently.

We are looking for an engineer who operates comfortably at the intersection of distributed systems and modern ML infrastructure. You will design systems that support large-scale topology-sensitive workloads optimize batch queuing frameworks and write custom Kubernetes controllers. Your work will directly determine our ability to maximize hardware utilization and accelerate the pace of AI-driven drug discovery.

• Own the Scheduling Layer: Design operate and extend ML workload scheduling systems to handle dynamic batch inference and long-running training workloads.
• Optimize Compute Utilization: Drive the implementation of scheduling policies like gang scheduling topology-aware placement and preemption to ensure efficient use across our fleets of committed GPUs and TPUs.
• Partner with Research: Collaborate directly with ML researchers and the broader Infrastructure team to understand workload behavior troubleshoot bottlenecks and turn research requirements into platform capabilities.
• Ensure Reliability: Build systems with clear failure semantics. Participate in the operational lifecycle of the scheduling ecosystem designing robust processes runbooks and SLOs to maintain high availability.
• Build Custom Infrastructure: Build and maintain custom Kubernetes controllers operators and CRDs that adapt the cluster orchestration layer to the specific requirements of our ML pipelines.

• Scheduling Frameworks: Practical experience building or operating cluster schedulers batch systems or queuing frameworks (e.g. Kueue Volcano Slurm).
• Deep Kubernetes Expertise: Deep hands-on Kubernetes experience moving beyond standard usage to write and maintain custom K8s controllers operators or interacting directly with cluster orchestration APIs. Strong familiarity with K8s scheduler.
• Cloud Infrastructure Experience: Strong practical experience with cloud providers focusing on compute provisioning networking and Infrastructure as Code to build scalable foundational environments.
• Adaptability: A solid foundation in DevOps/SRE best practices with the ability to adapt these principles to the dynamic nature of AI accelerator infrastructure.
• Programming Proficiency: Strong programming skills with high proficiency in Python or Go.

• Experience operating Kueue.
• Familiarity with ML infrastructure nuances: Nvidia GPUs Google TPUs gang scheduling or collective networking.
• Previous experience in High-Performance Computing or maximizing utilization in environments with fixed/committed hardware constraints.
• Familiarity with GCP cloud compute infrastructure and Infrastructure as Code.
• Background in ML SWE or infrastructure SRE work supporting machine learning research activities.

We are guided by our shared values. Its 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 its also about initiative and integrity. The scale of the challenge demands nothing less.

Determined
Determined at Iso is the way we pursue our goal. Its a confidence in our hypothesis as well as the urgency and agility needed to deliver on it. Because disease wont wait so neither should we.

Together
Together at Iso is about connection collaboration across fields and catalytic relationships. Its knowing that transformation is a group project and remembering that what were doing will have a real impact on real people everywhere.

We believe that to be successful we need a team with a range of skills and talents. Were 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.

Its 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 youre in). If you have additional needs that would prevent you from following this hybrid approach wed be happy to talk through these if youre selected for an initial screening call.

Please note that when you submit an application your data will be processed in line with our .

>> Click to view other open roles at Isomorphic Labs