About AQEMIA

AQEMIA 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 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 and our LinkedIn.

About our Team

AQEMIA 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.

The role

We are hiring a Senior Software Engineer to join the Compute team to own and scale the systems that power Aqemia’s scientific platform. As our research grows in complexity and scale, this role exists to ensure our compute infrastructure, workflows, and developer tooling enable - not limit - scientific progress.

You will bring strong software engineering rigor into a highly scientific environment, working closely with physicists, AI researchers, and engineers to industrialize workflows and improve reliability at scale. This role offers a unique opportunity to shape the foundations of how cutting-edge science is executed in production.

Success in this role means scientists can run complex models and workflows faster, more reliably, and at greater scale, with infra and tooling that empower, not limit them.

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‑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

Senior Software Engineer

About this role

The role

Responsibilities

Qualifications

Nice‑to‑Have

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