As a Senior Software Engineer, you will design, build, and maintain scalable compute systems for drug discovery, collaborating with scientists and engineers to enhance infrastructure and workflows.
Summary Generated by Built In
About AQEMIAAQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles.
What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies.
Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people’s lives.
For more information, visit AQEMIA.com, our WTTJ Page, and our LinkedIn.
About our TeamAQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery.
This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention.
About our Engineering DepartmentThe 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.
Responsibilities
- 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
Qualifications
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‑HaveExperience 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?
At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team.
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
