Biohub

Infrastructure Engineer

• Deploy and manage environments in the public cloud
• Automation including Infrastructure as Code (IaC)
• Container Orchestration and Observability platforms
• Creating and managing internal developer and infrastructure portals
• Design, optimize and manage our CI/CD pipelines
• Technical advocacy and support

Staff Software Engineer – Core Infrastructure, AI Compute

Research Scientist

• Rigorously think through important open scientific questions that don’t have textbook answers.
• Design and build safety evaluations to understand AI capabilities at the frontier of biology.
• Collaborate closely with scientists across Biohub to build safeguards that are robust to potential misuse, enabling our AI systems to be used for maximum societal benefit.
• Gain direct access to a network of leading external experts and Biohub partners for collaboration and to inform your safety work.
• Monitor capability advancements and emerging technologies across AI and assess how these advances impact the robustness of our safeguards.
• Partner closely with colleagues to develop, implement, and evolve our frontier safety policy.
• Communicate our safety work to internal teams as well as external partners.

Staff Research Scientist, AI Safety

Security Engineer

• Designing Secure Architecture: Architecting and implementing company wide security standards, network and system security measures such as firewalls, encryption, and Identity and Access Management (IAM) tools.
• Testing and Vulnerability Management: Conducting routine penetration testing and vulnerability assessments to identify and patch security gaps before attackers can exploit them.
• Automating Security Processes: Scripting and deploying automated security tools, integrating scanning into CI/CD pipelines, and streamlining threat detection.
• Leverage and contribute to open source tools and technologies.
• Build observability systems to monitor performance, detect issues, debug and mitigate incidents; and participate in incident response and root cause analysis.

Staff Software Engineer, Security Engineering, AI Compute

Engineer

• Design, prototype, implement, and optimise custom subsystems for light-sheet microscopes and other advanced imaging platforms. Integrate mechanical, thermal, fluidic, optical, and electronic components into cohesive, reliable experimental systems.
• Develop modular hardware control software in Python (and occasionally C/C++), interfacing with cameras, stages, lasers, sensors, and other instrumentation components.
• Design and implement automated or “smart” imaging protocols incorporating feedback loops (e.g., sensor-driven control, adaptive imaging strategies, and real-time decision-making).
• Collaborate with scientists, bioengineers, computer scientists, and biologists to implement new features and capabilities, including hardware interfaces, acquisition modes, graphical user interfaces, smart automation, high-performance data visualization, and scalable data storage pipelines.
• Contribute to data acquisition workflows capable of handling large-scale imaging datasets, including performance optimization, structured data saving, and integration with downstream analysis pipelines.
• Document system architectures, mechanical designs, schematics, and assembly procedures to ensure reproducibility, maintainability, and scalability.

Optical Engineer, Advanced Light Sheet Microscopy

Data Engineer

• Design and build data pipelines that process genomic and imaging data at petabyte scale
• Solve performance and bandwidth challenges with creative engineering
• Build agent-based systems for automated dataset curation, quality control, and workflow generation
• Create tooling for data cataloging and registration that makes datasets discoverable and accessible
• Collaborate with AI Research teams to translate model requirements into data specifications, and with our scientists to integrate public and internal data into large-scale ai-ready datasets
• Improve pipeline reliability and observability, working toward 99%+ success rates without manual intervention