Lead deployment, administration, and strategic use of the HiddenLayer platform to protect AI/ML systems from adversarial attacks and other AI-specific threats.
Responsibilities
Deploy, configure, and administer the HiddenLayer platform
Integrate HiddenLayer with enterprise SIEM, SOAR, EDR, vulnerability management, and cloud security platforms
Create detection rules, dashboards, and executive reporting on AI security posture
Protect AI models against adversarial attacks, model theft, prompt injection, model poisoning, and unauthorized inference
Develop monitoring and detection strategies for production AI workloads
Lead and coordinate product cybersecurity activities across the AI Center of Excellence (AI COE).
Compensation
For U.S. based positions only, the pay range for this position is $105,600.00-$158,400.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
Responsibilities
Serve as the Product Security Representative and primary product cybersecurity point of contact for assigned AI COE products and programs.
Partner with engineering, ML, architecture, quality, regulatory, and Product Security teams to integrate cybersecurity requirements into product development and releases.
Ensure required product cybersecurity documentation and records are created and maintained throughout the product lifecycle.
Support vulnerability management, SBOM and third-party software security activities, including assessment and documentation of identified risks.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, Electrical Engineering, Biomedical Engineering, or a related technical field.
Nice to have: experience with medical devices
Senior Security Engineer, SAP Cybersecurity — EMEA
Lead engineering and offensive security for SAP platforms across on‑premise, cloud, and SaaS environments, integrating AI-driven controls and incident response.
Responsibilities
Threat‑model platform changes, cloud services, and AI capabilities
Design and implement security controls for SAP S/4HANA, HANA, and BTP
Set and validate security standards for SAP cloud and SaaS services
Secure AI and agentic systems using frontier AI
Lead AI‑supported offensive testing across SAP environments
Requirements
Nice to have: incident response experience as a technical responder or lead
Nice to have: cloud and SaaS security architecture depth
Nice to have: experience across SAP's cloud and SaaS portfolio
Nice to have: AI security frameworks such as OWASP Top 10 for LLM and Agentic Applications
Design, evaluate, and field systems for denied, disrupted, intermittent, and limited connectivity environments, focusing on secure mission services and local autonomy.
Locations (3)
Charleston, South Carolina, United States
Washington, District of Columbia, United States
Reston, Virginia, United States
Compensation
The pay range for this position is $70.00 - $127.00/hr.
Responsibilities
Develop DDIL strategies, architectural approaches, and implementation roadmaps for mission applications and supporting security services.
Work with mission owners to define operational scenarios, connectivity constraints, mission priorities, and acceptable levels of degraded service.
Translate those scenarios into requirements for local autonomy, bandwidth use, latency, outage duration, synchronization, and recovery.
Lead the delivery of mission-critical digital infrastructure supporting the Advanced Photon Source (APS), focusing on high-performance computing (HPC), networking, Linux scientific platforms, and Windows enterprise services.
Compensation
The expected hiring range for this position is $135,458.00 - $211,313.70.
Responsibilities
Managing the IT group that plans, designs, develops, supports, integrates, implements, and/or operates enterprise-wide computer systems and networks.
Implement policies, procedures, and guidelines to ensure efficient, economical, and effective IT planning, acquisition, and management.
Collaborate on the development of a strategy for the digitization of the APS IT infrastructure.
Work with Laboratory Information Technology and Argonne Cyber Security Office to ensure systems operate within Laboratory and DOE/DHS Security standards.
Acts as the Chief Information Officer for the APS.
Requirements
Bachelor’s or a master's degree in computer science
Lead and manage the Systems Engineering & Architecture team for Shield AI’s Hivemind Enterprise organization, overseeing architecture, cybersecurity, safety, and airworthiness engineering to deliver dependable autonomous systems.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Lead the team: Hire, develop, and lead the SE&A engineering disciplines
Establish the operating model: Define how SE&A engages with product and engineering teams
Own requirements and architecture: Guide requirements development and management
Drive verification and validation planning: Establish system-level verification and validation strategies
Support software development: Integrate systems engineering and architecture into iterative planning
Requirements
A Degree in a relevant engineering or computer science discipline, or equivalent practical experience; an advanced technical degree is a plus
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