Responsibilities
Design, build, and operate scalable compute systems supporting training, inference, and scientific workloads
Improve the reliability, robustness, and performance of production systems used across research and platform teams
Develop internal tooling to streamline model and workflow lifecycle (build, test, deploy, run).
Drive architectural decisions across compute and data systems in collaboration with engineering and research teams
Improve developer experience for scientists by reducing friction in running and scaling experiments
Establish and promote best practices in system design, observability, and AI-assisted / spec-driven development
Contribute to raising the engineering bar across teams through mentorship and technical leadership
Qualifications
10+ years of experience in software engineering with demonstrated impact at the staff level or equivalent
Strong experience building and operating production systems at scale
Deep expertise in distributed systems or compute-heavy environments
Strong hands-on experience in system architecture and design
Fluent in Python and across the AWS / Postgres / SnowFlake / orchestration stack; comfortable on both sides of the code/infra boundary
Serious hands-on experience with LLM-assisted engineering and spec-driven development - you’ve gone past tooling and built workflow and team practice around it
Strong ownership mindset with the ability to operate across teams and communicate effectively
Experience with large-scale compute platforms or infrastructure
Exposure to ML infrastructure or model execution environments
Experience with PyTorch, CUDA, or running custom models in production
Experience designing or operating workflow orchestration systems
Track record of optimizing systems for cost-efficiency at scale
Why Join Us?
Skills Required
- 10+ years of experience in software engineering
- Strong experience building and operating production systems at scale
- Deep expertise in distributed systems or compute-heavy environments
- Strong hands-on experience in system architecture and design
- Fluent in Python and across AWS/Postgres/SnowFlake/orchestration stack
- Experience with LLM-assisted engineering and spec-driven development
What We Do
AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline. Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology. Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates—without relying on experimental data. We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization. We are growing and hiring! Check our career website: https://jobs.lever.co/aqemia.com Discover the roles and behind-the-scenes at AQEMIA on our Welcome To The Jungle page: https://www.welcometothejungle.com/fr/companies/aqemia
