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About the Role
As a Platform Engineer, you will build and maintain the infrastructure powering our ML research teams, acting as the architect of systems that enable researchers to train and deploy models at scale. You will be instrumental in shaping our ML infrastructure strategy and platform architecture.
Responsibilities
- Design and implement a cloud-native platform on Kubernetes to enable researchers to train, evaluate, and deploy models.
- Implement and maintain CI/CD pipelines, model registries, experiment tracking systems, and deployment automation.
- Build infrastructure to support distributed training across many GPUs, including data pipelines, checkpointing, and resource optimization.
- Ensure 99.9% uptime for the ML platform through monitoring, alerting, and automated recovery systems.
- Use Kapitan to manage multi-environment Kubernetes configurations and ensure consistent deployments.
- Implement resource management strategies to optimize cloud spending and maximize computational throughput.
- Create tools and abstractions to simplify the process for researchers moving from experiment to production.
- Collaborate with ML Researchers, Chemists, Materials Scientists, and Software Engineers to understand needs and build necessary infrastructure.
Requirements
- Deep expertise in building and maintaining ML infrastructure, ideally in start-up environments.
- Ability to work autonomously as a subject matter expert and provide guidance on best practices.
- Deep experience with ML workloads on Kubernetes and multi-cloud platforms (AWS, GCP).
- Strong Python and/or Go programming skills for infrastructure automation.
- Expert-level proficiency in Infrastructure as Code (IaC) using Terraform, Helm, Kapitan, and GitOps workflows.
- Experience operating distributed ML platforms for JAX and/or PyTorch.
- GPU infrastructure experience, including managing GPU clusters and performance optimization.
- Previous experience as a Software Engineer or regular coding experience.
Skills
- Python
- Go
- Kubernetes
- AWS
- GCP
- Terraform
- Helm
- Kapitan
- GitOps
- JAX
- PyTorch
- GPU infrastructure management
- MLOps
Location
- DE
- NL
- UK
- JP
- SG
- US
Work Type
- Full-time
Experience Level
- Seasoned engineer
Salary/Compensations
- Competitive salary
Benefits
- Equity in CuspAI
- 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
- 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) parental leave at full pay
- Professional development budget
About the Company
- CuspAI is a frontier AI company focused on solving the breakthrough materials needed to power human progress.
- We harness AI to unlock trillion-dollar materials breakthroughs in months.
- Our founding team consists of world-class researchers in AI, chemistry, and engineering.
- We are addressing critical challenges in energy, clean water, compute, and carbon capture.
- We are building a 'search engine' for next-generation materials.
- We foster a diverse, innovative team at the intersection of AI and materials science.
- We aim to create impactful partnerships that drive innovation, scalability, and industry collaboration.
Equal Opportunity
- CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace.
- We do not discriminate on the basis 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), veteran status, or any other basis protected by applicable law.
- We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
- We will provide reasonable accommodations during the interview process and beyond.