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Palo Alto, California, United States
Hybrid
Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond.
Odyssey’s founders previously pioneered the most complex application of physical AI: self-driving cars. They’ve now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD).
Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines.
We’re hiring a MTS, Security Engineering to protect Odyssey’s research, models, data, and infrastructure. You’ll own our security priorities, build practical defenses, and work directly with researchers and engineers to keep our systems secure as we scale.
Map our most valuable assets, and devise strategies on how people, devices, and services can access, copy, or share them.
Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them
Strengthen security across cloud infrastructure, identity and access, secrets management, and development workflows.
Create useful logs, detections, and incident response for account compromise, sensitive downloads, external sharing, and permission changes.
Test defenses and recovery procedures, manage external security assessments, and drive remediation.
Partner with People and Legal on data-handling practices, onboarding, and offboarding.
8+ years of software engineering experience with deep security expertise, including leading company-wide security initiatives independently.
Track record of delivery in threat modeling, incident response, and prioritization, with clear communication across leadership, technical and nontechnical teams.
Experience with cloud IAM, Linux, containers, networking, secrets, and CI/CD; familiarity with ML infrastructure is a plus.
Experience managing penetration tests and external security partners.
Clear communicator who works effectively with leadership and technical and nontechnical teams.
Working knowledge of Kubernetes security primitives including RBAC, namespaces, network policies, and service accounts
Passion for AI safety and the role security engineering plays in building trustworthy AI systems
Our staff is expected to be in office at least three times a week. A lot of our progress comes from working through problems together, and we want you in the room for that.
