Senior Software Engineer

Aqemia; Paris; Hybride; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Interdisciplinary team

Remote working options

Innovative tech stack

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

Problem-solving

Communication skills

Cloud infrastructure (e.g., AWS)

Distributed systems

Outils

FastAPI

Airflow

Snowflake

Kubernetes

Description du poste

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 environments.
• 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.

Why Join Us

• At AQEMIA, we are driven by a bold mission: transforming the way drugs are discovered. Here, engineers don’t just build software; they help discover real drugs.
• You’ll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production‑grade tools that accelerate discovery.
• Build the platform that powers AI‑driven drug discovery, combining quantum‑inspired physics with generative models.
• Every feature shipped helps scientists prioritize molecules and design better candidates, faster.
• Modern stack & challenges: Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale.
• High ownership, high impact: engineers contribute to architecture, tooling, and scientific decision‑making.
• Interdisciplinary team: collaborate with chemists, physicists, ML researchers, and product teams.
• Prime Locations: Central Paris or London offices, with 2 remote days/week.
• Strategic traction: Backed by $100M in funding and a $140M partnership with Sanofi.
• Join us if you’re excited to shape the future of AI‑driven drug discovery, and want your code to change the course of real diseases.