Staff Software Engineer, Security Engineering, AI Compute

About the role

The Security Engineering and Infrastructure team brings modern security engineering practices to the Biohub network to make sure our systems are secure while we accelerate Biomedical research. We are uniquely positioned to design, build, and scale software systems to help scientists better address the myriad challenges they face. This team works on building shared tools and platforms to be used across Biohub, partnering and supporting the work of an extensive group of Research Scientists, Data Scientists, AI Research Scientists, and Computational Biologists. Members of the shared infrastructure engineering team have an impact on all of Biohub's initiatives by enabling the technology solutions used by other engineering teams to build a frontier model and scale the feedback loop.

Responsibilities

• 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.

Requirements

• 8+ years of experience in software engineering with a focus on security.
• Proficiency in Python and at least one systems-level language (e.g., Go, Rust, or C++).
• Expert knowledge across multiple domains, such as application security, cloud infrastructure, identity and access management (IAM).
• Demonstrated ability to scale security beyond manual tasks
• Technical leadership and Ability to work cross functionally across the organization.
• Nice to have - Experience with GPU clusters, AI/ML deployments and operations.

Benefits

Additional Information

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology-developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide. Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.

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