Senior Software Engineer, Scalable Compute for AI Workloads

Aqemia; Paris; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Interdisciplinary team

Remote working options

Innovative tech stack

Job summary

Aqemia is seeking a Senior Software Engineer to join their Compute team in Paris. You will design and operate scalable systems supporting scientific workflows while collaborating with physicists and AI researchers. Candidates should have 5-8 years of experience in software engineering, strong Python skills, and a solid understanding of distributed systems. The role offers the opportunity to work with cutting-edge technology and play a vital part in AI-driven drug discovery. Flexible working with two remote days per week is provided.

Qualifications

• 5-8 years of experience in software engineering, focusing on backend or infrastructure systems.
• Strong proficiency in Python with production-grade systems experience.
• Understanding of system design, scalability, and reliability principles.

Responsibilities

• Design, build, and operate scalable compute systems.
• Contribute to architecture and design decisions about compute infrastructure.
• Mentor junior engineers and act as a technical reference.

Skills

Python

Problem-solving

Communication skills

Cloud infrastructure (e.g., AWS)

Distributed systems

Tools

FastAPI

Airflow

Snowflake

Kubernetes

Job description

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 isQEMI, 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 inventingnever-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 currentlyin 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, visitAQEMIA.com,ourWTTJ Page, and ourLinkedIn.

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.

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.

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 withdistributed systems and compute-heavy or high-throughput environment

• Solid understanding ofsystem 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

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 theFrench Tech 40andFrance 2030, highlighting our role as a key player in Europe’s DeepTech ecosystem.

Prime Location with Flexibility: Our offices are located in the heart ofParisandLondon (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