B.S. Degree in Information Security, Cybersecurity, Computer Science, Software Engineering, or related fields.
Advanced English proficiency required.
4-6+ years of hands-on experience in software development, preferably in Python, API integration, and CI/CD pipeline development.
Deep knowledge in security engineering, particularly detection engineering and incident response workflows.
Expertise in MITRE ATT&CK and MITRE ATLAS frameworks, including adversarial ML threat modeling and TTP mapping.
Experience in AI/agent development and security governance, including NIST AI RMF and OWASP standards.
Familiarity with cryptographic fundamentals, HSM operations, and PKI concepts.
Responsibilities
Define and implement detection coverage strategy and standards for SOC and Product Security.
Map threat landscape to MITRE ATT&CK and prioritize detection development based on real adversary behaviors.
Build and manage the lifecycle of agentic detection and response workflows.
Design AI agent identity and delegation governance, including audit logging and kill-switch controls.
Support Solidigm's Product Security & Code Signing platform and enhance automation for signing pipelines.
Integrate security requirements into firmware build and release pipelines, ensuring compliance with industry standards.
Lead security program components and mentor junior engineers on best practices and operational hygiene.
Benefits
Opportunities for professional development and mentorship.
Access to cutting-edge technology and tools in cybersecurity.
Collaborative work environment with cross-functional teams.
Participation in governance rhythms and strategic decision-making processes.
Full Job Description
Job Description
Agentic Detection & Response Engineering
Define and own detection coverage strategy - establish detection standards, naming conventions, and quality criteria for the SOC and Product Security program.
Map the threat landscape to MITRE ATT&CK TTP coverage; prioritize detection development against real adversary behaviors and threat intelligence; maintain ATT&CK coverage heatmaps and track MTTD and false positive rates as operational KPIs.
Build and ship agentic detection and response - own the full lifecycle from threat use case through detections-as-code, automated triage, and production agentic response workflows.
Design and govern AI agent identity and delegation - architect the end-to-end lifecycle for non-human identities operating in the security environment, including scoped delegation, audit logging, and kill-switch controls.
Apply MITRE ATLAS adversarial ML techniques to threat-model all agent deployments; validate guardrails against OWASP Top 10 for LLM Applications and OWASP Top 10 for Agentic AI.
Product Security & Cryptographic Infrastructure
Support and enhance Solidigm's Product Security & Code Signing platform - the cryptographic foundation for firmware signing, device identity (EJBCA/PKI), attestation (COSE/CBOR, LMS, PQC/ML-DSA), and unlock (CRAM/ADU) across all product lines.
Build and maintain automation for signing pipelines, HSM health monitoring, certificate lifecycle management, and access provisioning workflows integrated into CI/CD.
Contribute to PQC adoption - ML-DSA, LMS/LMOD, CNSA 2.0+, and OCP 3.0+ readiness - by developing and shipping the automation and tooling that operationalizes these standards.
Own and evolve the security data platform supporting cryptographic governance: signing telemetry, KPI dashboards, audit logging, and anomaly detection for signing infrastructure.
Architect and govern AI agent integrations within the code signing and cryptographic operations environment - scoped identity, delegation controls, and human-oversight mechanisms for any automation touching signing or key operations.
Application & Product Security Integration
Embed across firmware engineering, CI/CD, and manufacturing teams - delivering security controls, pipeline integrations, and attestation automation directly in their environments.
Integrate security requirements (SAST, SBOM generation and validation, attestation signing, supply-chain controls) across firmware build and release pipelines.
Validate security controls through adversary emulation and purple team exercises; close coverage gaps identified through testing and operational feedback.
Operate within and strengthen NIST AI RMF, OWASP Top 10 for LLM Applications, NIST FIPS 140-3, NSA CNSA 2.0+, OCP 2.5 to 3.0+, and ISO 27001/SOX ITGC governance gates.
Technical Leadership & Expectations
Lead security program components and define detection, automation, and cryptographic governance standards - not just execute them.
Shape the product and application security engineering roadmap through threat modeling, control design, and input to the Cryptographic Architecture Board and security roadmap.
Serve as initial point of contact for cross-team security engineering projects; align technical outcomes with business requirements across firmware, manufacturing, and operations.
Mentor MSP analysts, junior security engineers, and firmware engineers on agentic patterns, detection best practices, and cryptographic operational hygiene - multiplying team effectiveness.
Champion good engineering habits (TDD, security-by-design, tech debt balance, agile) within and beyond the security team; uphold standards that set a benchmark for excellence.
Work with Engineering Managers and the Product & App Security Lead to define priorities, roadmap, and resource allocation; be accountable for high quality in team output.
Build supervised automations that expand analyst and operator capacity under oversight - replacing L1 toil with agents and lowering cost-to-serve while maintaining Solidigm governance and visibility.
Develop and maintain operational runbooks, training materials, and knowledge documentation to build resilient team capabilities and reduce single-person knowledge concentration risk.
Participate in daily, weekly, and monthly governance rhythms: ops standups, KPI reporting, quarterly CISO reviews, and the Cryptographic Architecture Board.
Qualifications
B.S. Degree in Information Security, Cybersecurity, Computer Science, Software Engineering, or related fields.
Advanced English level (mandatory).
Software development proficiency - Python preferred; API integration; infrastructure-as-code; CI/CD pipeline development. Expected experience: 4-6+ years of relevant hands-on work.
MITRE ATT&CK depth - TTP mapping, kill chain coverage analysis, and detection-to-technique alignment; ability to build and maintain ATT&CK coverage heatmaps and report on TTP coverage gaps.
MITRE ATLAS depth - adversarial ML threat modeling for AI systems and agents, including model evasion, data poisoning, prompt injection, AI supply-chain compromise, and agent-specific attack vectors.
AI/agent development experience - hands-on building with agent frameworks, RAG pipelines, or agentic orchestration in production environments.
AI security governance knowledge - NIST AI RMF; OWASP Top 10 for LLM Applications (LLM01-LLM10); OWASP Top 10 for Agentic AI; AI safety control design including guardrails, human oversight mechanisms, and secure orchestration.
Cryptographic and PKI fundamentals - working knowledge of HSM operations, certificate lifecycle management, code signing pipelines, and PKI concepts (CA hierarchies, certificate policies, key management).
Cross-functional leadership - demonstrated ability to lead technical decisions for a functional domain, influence decisions in adjacent domains, and align technical outcomes with business requirements (IC7 Communication & Leadership standard).
Field/embedded delivery mindset - comfortable embedding with operational and engineering teams, shipping in partner-controlled environments, and coaching across technical levels.
PKI and certificate management - EJBCA/KeyFactor, Venafi, or comparable; manufacturing device identity injection, MTKI/sub-CA hierarchies, certificate expiry management.
Code signing pipeline experience - firmware or binary signing (COSE/CBOR, Authenticode, or comparable); SBOM generation and signing; attestation workflows.
Post-quantum cryptography (PQC) - practical experience with ML-DSA, LMS/LMOD, or hybrid crypto schemes; familiarity with CNSA 2.0+ and NIST PQC standards.
Compliance framework experience - NIST FIPS 140-3, NSA CNSA 2.0+, OCP 2.5/3.0+, ISO 27001, SOX ITGC.
Microsoft security stack - Defender XDR, Microsoft Sentinel (+ Data Lake), Security Copilot, Logic Apps; KQL; Azure.
Splunk - SPL, log forwarding, content/detection management, and index administration.
Agentic tooling - Model Context Protocol (MCP), Security Copilot plugins, LangChain, or comparable security-native agent orchestration and connector frameworks.
Non-human identity (NHI) & workload identity - Entra Workload Identities, Okta, or comparable; service principal and managed-identity lifecycle management.
Prior FDE, solutions-engineering, detection-engineering, or product security engineering role in an enterprise manufacturing or hardware product environment.
