Staff Software Engineer (Compute Efficiency), London
Isomorphic Labs · London
Bio & Science AIonsitestaff
At a glance
Highlights
- Help build the largest foundation models in biotech to cure disease.
- Ensure planet-scale accelerator fleet operates at peak health and efficiency.
- Design observability and auto-recovery to maximize throughput on every GPU-hour.
Ideal candidate
You are a mission-driven infrastructure engineer energized by massive-scale compute and scientific impact. You thrive collaborating across ML, science and product teams and care deeply about reliability, efficiency and turning GPU-hours into breakthrough medicines.
Requirements
- Real world experience operating, monitoring, and debugging infrastructure for large-scale AI/ML workloads
- Experience in cloud compute infrastructure design, preferably GCP
- Strong programming skills
- remote policy
- Hybrid, 3 days per week in office
Lab profile
About Isomorphic Labs
Applying frontier AI to drug discovery for faster breakthroughs and life-changing medicines.
What they build
- AI-driven drug discovery platform
- Life-changing medicines
Known for
- Frontier AI and machine learning
- Interdisciplinary team
- Focus on curing disease
Key facts
- Locations in London and Cambridge, MA
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