
11 - 50 employees
💰 Series A on 2022-10
Aqemia is a pharmatech company using quantum physics and artificial intelligence to transform the drug discovery process. With a unique proprietary technology that preclude the use of experimental data, our pipeline scales the drug discovery process at an unprecedented pace, generating an exhaustive number of new drug candidates.
🕒 May 11
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11 - 50 employees
💰 Series A on 2022-10
Aqemia is a pharmatech company using quantum physics and artificial intelligence to transform the drug discovery process. With a unique proprietary technology that preclude the use of experimental data, our pipeline scales the drug discovery process at an unprecedented pace, generating an exhaustive number of new drug candidates.
• 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**
• Prime Locations : Central Paris or London offices, with 2 remote days/week • High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making
Apply Now🕒 May 6
501 - 1000
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⏰ Full Time
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🧑💻 Full-stack Engineer
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React
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🏪 Marketplace
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☁️ SaaS
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Node.js
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TypeScript
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10,000+ employees
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🗣️🇫🇷 French Required
Ansible
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Terraform