Staff Software Engineer, Aqemia
2+ days a week in office
AI and quantum physics driven drug discovery
Open for applications
AI and quantum physics driven drug discovery
21-100 employees
Open for applications
2+ days a week in office
21-100 employees
Company mission
To design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology.
Role
Who you are
- 10+ years of experience in software engineering with demonstrated impact at the staff level or equivalent
- Strong experience building and operating production systems at scale
- Deep expertise in distributed systems or compute-heavy environments
- Strong hands-on experience in system architecture and design
- Fluent in Python and across the AWS / Postgres / SnowFlake / orchestration stack; comfortable on both sides of the code/infra boundary
- Serious hands-on experience with LLM-assisted engineering and spec-driven development - you’ve gone past tooling and built workflow and team practice around it
- Strong ownership mindset with the ability to operate across teams and communicate effectively
Desirable
- 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
What the job involves
- We are hiring a Staff 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
- Design, build, and operate scalable compute systems supporting training, inference, and scientific workloads
- Improve the reliability, robustness, and performance of production systems used across research and platform teams
- Develop internal tooling to streamline model and workflow lifecycle (build, test, deploy, run)
- Drive architectural decisions across compute and data systems in collaboration with engineering and research teams
- Improve developer experience for scientists by reducing friction in running and scaling experiments
- Establish and promote best practices in system design, observability, and AI-assisted / spec-driven development
- Contribute to raising the engineering bar across teams through mentorship and technical leadership
Our take
The billion dollar drug discovery industry is set to see notable growth by 2032 with huge R&D investments being made. It’s generally accepted that this is one of the most important financed sectors in the world. Aqemia joined the discovery train in 2019 with its deep physics and AI enabled drug revelation pipeline.
The company boasts its intricate level of accuracy within its physics algorithms that are fed into AI discovery, leading to a level of speed and in turn scaling drug discovery at an impressive rate. Creating a name for itself Aqemia moves away from using experimental data and bases the AI powered outcomes on years of data and studies of its now impressive team of 50.
Aqemia’s discoveries have already made an impact in oncology and immuno-oncology trials. The company sets goals to be part of more life changing clinical trials with wholly or partly owned drug candidates and with significant funding continues to scale its platform to secure more wins in its research. It will be exciting to see how more research and collaborations like that with Servier (international pharmaceutical company) will continue to grow its success.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Apr 2025
$7.4m
GRANT
Dec 2024
$41.6m
EARLY VC
Total funding: $130.3m
Company HQ
Necker, Paris, France
Leadership
Maximilien Levesque
(Co-Founder & CEO)Currently a Board Member of France Biotech. Founded Personal HPC and worked through several roles at École normale supérieure most recently as a Research Group Leader.
Emmanuelle Martiano Rolland
(Co-Founder & COO)Previously a Principal at Boston Consulting Group after completing a Master of Science Imperial College of London.
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