Senior Software Engineer

About our Engineering Department

The Engineering team (~12 people) builds and scales the technical foundations that power Aqemia’s drug discovery engine. Bringing together expertise across software engineering, cloud infrastructure, data engineering, site reliability engineering (SRE), and scientific computing, the team designs and operates robust, secure, and high-performance platforms that enable Aqemia’s scientific and AI teams to experiment, train, deploy, and run models at scale. Their work spans data infrastructure, scientific compute systems, cloud operations, orchestration, observability, CI/CD, developer tooling, and platform scalability. By transforming cutting-edge research into reliable and scalable systems, the team accelerates the discovery of new medicines while ensuring operational excellence and an outstanding developer experience.

• Design, build, and operate scalable compute systems supporting training, inference, and scientific workloads
• Contribute to architecture and design decisions around compute infrastructure, scheduling, and resource management
• Take ownership of key engineering projects, from design through to production and iteration
• Improve system reliability, performance, and observability across compute and infrastructure components
• Collaborate with platform and infrastructure teams to ensure seamless integration and efficient resource usage
• Drive best practices in system design, testing, and operational excellence
• Mentor junior engineers and act as a technical reference within the team
• 5-8 years of experience in software engineering with a focus on backend, infrastructure, or platform systems
• Strong proficiency in Python and experience building production-grade systems
• Experience with distributed systems and compute-heavy or high-throughput environment
• Solid understanding of system design, scalability, and reliability principles
• Experience working with cloud infrastructure (e.g. AWS) and operating systems in production
• Strong problem-solving and communication skills

Nice-to-Have

• 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

Benefits

Expanding Drug Discovery Pipeline: Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation, with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.

World-Class Interdisciplinary Team: work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation.

DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe’s DeepTech ecosystem.

Prime Location with Flexibility: Our offices are located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week.

Strong Financial Backing: $100M raised from leading European and International investors.