The team fosters a collaborative environment and is building a best-in-class program to partner with the business to protect the Firm’s information and computer systems. Millennium is a complex and robust technical environment and securing the Firm from external and internal threats is a top priority.

Responsibilities

• Define and implement security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.
• Conduct specialized threat modeling, red teaming, and risk assessments for AI/ML models (e.g., testing for prompt injection, model theft, and data poisoning).
• Lead risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects.
• Engage throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards.
• Evangelize AppSec and AI security best practices through developer education, training materials, and outreach.
• Design robust security architectures and integrate automated security testing (SAST/DAST/SCA) into CI/CD pipelines.
• Partner with Technology, Trading, Legal, and Compliance to create policies and communicate technical risks to non-technical stakeholders.

Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field.
• 5+ years’ experience working as an Application Security Engineer, Software Engineer, or similar role.
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs.
• Experience working with AI models, Agentic frameworks and security risks associated with AI.
• Experience in working with global teams, collaborating on code and presentations.
• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols.
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions.
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar.
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies.
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus.
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous.

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The successful candidate will have a proven understanding in enterprise security and AI security and will focus on defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.

Key responsibilities include:

• Defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks
• Conducting specialized threat modeling, red teaming, and risk assessments for AI/ML models
• Leading risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects
• Engaging throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards
• Evangelizing AppSec and AI security best practices through developer education, training materials, and outreach

Qualifications include:

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field
• 5+ years' experience working as an Application Security Engineer, Software Engineer, or similar role
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs
• Experience working with AI models, Agentic frameworks and security risks associated with AI
• Experience in working with global teams, collaborating on code and presentations

Preferred qualifications include:

• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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Responsibilities: Conduct in-depth code reviews and static analysis to identify and mitigate security vulnerabilities in our applications Design and implement secure coding guidelines and best practices for development teams Collaborate closely with development teams to integrate security practices throughout the CI/CD pipeline Perform threat modeling and risk assessments for applications, developing mitigation strategies for potential risks Manage vulnerability tracking and remediation efforts, providing guidance to development teams Support incident response activities related to application security Stay current on emerging security threats and trends in cloud-native technologies and AI, continuously enhancing our security measures Evaluate and secure software supply chains, including producing and maintaining Software Bills of Materials (SBOMs) Address security concerns specific to AI and machine learning models, with a focus on the OWASP LLM Top 10

Basic Qualifications: Bachelor's degree in Computer Science, Cybersecurity, or a related field 3-5 years of experience in application security, with a strong focus on code security practices Deep understanding of secure coding practices, application security frameworks, and common vulnerabilities (e.g., OWASP Top 10) Proficiency in Python or Rust programming languages and experience with secure coding practices in these languages Experience securing CI/CD pipelines and implementing DevSecOps practices Familiarity with software supply chain security and SBOM generation tools Experience with security testing tools (e.g., Burp Suite, OWASP ZAP) and static/dynamic code analysis Understanding of AI/ML security implications, particularly those outlined in the OWASP LLM Top 10 Excellent communication skills, able to explain complex security issues to both technical and non-technical audiences

Preferred Skills and Experience: Experience with cloud platforms (e.g., GCP, AWS, Azure) and their security features Relevant security certifications (e.g., CSSLP, OSWE) Background in data privacy and compliance regulations relevant to cloud-native applications and AI systems Experience with GitOps and infrastructure-as-code security Familiarity with federated learning and privacy-preserving machine learning techniques Experience in building custom security tooling to enhance and automate security processes Interest in leveraging AI to automate security tasks and improve efficiency Contributions to open-source security projects or tools Experience in securing AI/ML models and data pipelines

Compensation and Benefits: $200,000 - $340,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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You will be the technical authority on hardware root of trust, secure boot, firmware integrity, embedded system hardening, and the security of third-party hardware integrations. Your work ensures that every component on the vessel is resilient against tampering, exploitation, and supply chain compromise, designed in from the start and maintained across the fleet lifecycle.

Key Responsibilities:

• Conduct hardware security assessments including fault injection, side-channel analysis, interface evaluation, and bus protocol analysis across Saronic-built and third-party hardware including sensors, radios, navigation systems, propulsion controllers, and communication modules

• Evaluate and harden physical interfaces, debug ports, maintenance access points, and removable media interfaces on vessel hardware

• Evaluate supply chain security risks for hardware components and recommend provenance validation, anti-tamper, and attestation controls

• Develop and maintain a hardware security testing capability including tooling, methodology, and repeatable test procedures

• Design and implement secure boot chains establishing hardware root of trust from power-on through application launch, integrating TPM, secure elements, and HSMs for device identity, key storage, measured boot, and remote attestation

• Design and implement secure firmware update mechanisms including signed updates, rollback protection, and verified delivery across the fleet

• Own the cryptographic key lifecycle for hardware-bound keys, including provisioning, rotation, revocation, and escrow

• Harden embedded Linux systems on vessel platforms, including kernel configuration, mandatory access controls, secure IPC, and attack surface reduction

• Secure operational technology protocols and interfaces used in vessel control systems, propulsion, navigation, and sensor fusion including CAN bus, NMEA, and maritime/industrial communication protocols

• Define security boundaries, trust zones, and segmentation strategies for vessel-internal compute and communication architectures

• Drive threat modeling across vessel hardware subsystems and translate findings into actionable engineering requirements

• Produce secure-by-design reference architectures and define hardware and firmware security standards, testing requirements, and acceptance criteria integrated into engineering workflows

Required Qualifications:

• 6+ years of hands-on experience in hardware security, embedded systems security, firmware security, or a closely related security engineering role

• Deep expertise in hardware hacking techniques including fault injection, side-channel attacks, JTAG/SWD exploitation, bus sniffing/injection, and physical security assessments

• Demonstrated experience designing and implementing secure boot chains, hardware root of trust, and secure firmware update mechanisms in production systems

• Strong experience assessing third-party hardware integrations and evaluating supply chain security risks

• Deep knowledge of embedded Linux security hardening, kernel security, and mandatory access control frameworks

• Experience with operational technology security, industrial protocols, or control system security

• Proficiency in C, C++, Python, or Rust in the context of firmware, embedded, or systems-level security work, and with hardware security testing tools

• Ability to obtain and maintain a security clearance

Preferred Qualifications:

• Experience in defense, aerospace, robotics, autonomy, maritime, or other high-assurance environments

• Experience with autonomous systems, unmanned vehicles, or safety-critical embedded platforms

• Experience with RTOS, microcontroller security, or resource-constrained device environments

• Knowledge of CAN bus, NMEA protocols, maritime communication systems, RF/GPS/GNSS security, or ICS security standards

• Familiarity with defense or safety-critical compliance frameworks (NIST SP 800-53, IEC 62443, Common Criteria, or equivalent)

• Relevant certifications such as OSEE, GXPN, GSE, or hardware-focused credentials

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