[Hiring] Full Stack Software Engineer @Sandboxaq

Role Description

The SandboxAQ Cybersecurity R&D team is looking for a Full Stack Software Engineer to help us build the future of AI security where the world’s most advanced AI systems are tested, protected and hardened against the next generation of threats.

• Design, build, and maintain complete product features, from persistent data storage and high-throughput backend APIs to polished, performant, and intuitive front-end user interfaces
• Spearhead the system architecture for new components, ensuring resilience, maintainability, and horizontal scalability under demanding real-world enterprise loads
• Rapidly iterate on prototypes and initial product concepts based on user feedback, research findings, and evolving market needs
• Collaborate closely with AI Security Researchers to translate novel technical insights, cryptographic primitives, and machine learning models into usable, robust, and documented software tools and systems
• Develop sophisticated dashboards, analytics, and visualization tools that effectively reveal the complex, hidden dynamics, and vulnerability surfaces of advanced AI and ML systems
• Debug, optimize, and scale core applications and services to ensure high availability and support demanding, low-latency AI security use cases

Qualifications

• BS or MS in Computer Science, Software Engineering, or a closely related technical field
• Solid proficiency in modern backend development, demonstrated through strong experience in at least one of the following high-performance languages: Kotlin, Go, Rust, or Python (or a similar modern object-oriented/functional language)
• Strong front-end mastery in Javascript/Typescript, with significant experience building complex, stateful user interfaces using modern frameworks, ideally React
• Proven track record of end-to-end ownership where you have successfully designed, deployed, and maintained production-grade features independently or within a small team
• Deep understanding of common data structures, algorithms, system design principles, and software architectural patterns (e.g., microservices, event-driven architectures)

Requirements

• MS or PhD in Computer Science or a related technical discipline
• Deep, practical expertise in Python
• Hands-on experience or academic exposure to the principles of Machine Learning (e.g., model training, deployment, MLOps, or adversarial ML)
• Direct experience or a strong foundational understanding of cybersecurity concepts, including network security, cryptography, application security, or vulnerability assessment
• Experience contributing to or maintaining successful open-source projects, demonstrating collaboration and code quality best practices

Benefits

• The US base salary range for this full-time position is expected to be $125k - $185k per year
• This role may be eligible for annual discretionary bonuses and equity

Company Description

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges.