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Erstellt am 20. Juli 2026

Senior Security Architect (Human)

Neura Robotics
Metzingen, Baden-Wurttemberg, Germany Vollzeit
Reference: 490_778970_d7b2b0a6-44a1-434f-8f7d-cb2ccc72eb5c

NEURA Robotics builds cognitive robots and AI systems that operate in the real world - and the security surface that comes with that is as complex as the products themselves. You will join and strengthen a growing cybersecurity team, providing technical guidance to product engineers and security specialists across our verticals while helping expand our horizontal InfoSec function into a mature, enterprise-wide capability. Working across IT and product engineering, you will refine what is already in place, raise the bar where it matters, and make security a genuine competitive advantage rather than a bottleneck.

Your mission & challenges

  • Shape and evolve security architecture across IT and product - reviewing designs, identifying weaknesses, and driving hands-on improvements across embedded systems, cloud services, and enterprise IT

  • Develop and maintain reference architectures for the highest-risk areas: secure OTA update pipelines, Zero Trust network design, cloud-native security, embedded and firmware security, IAM, and secrets management

  • Lead threat modelling for high-impact initiatives across product verticals and IT infrastructure - producing prioritised risk maps, not lengthy audit reports

  • Own and maintain the organisation-wide security risk register, translating technical findings into business-relevant assessments that leadership can act on

  • Establish the security standards every team is expected to meet and drive adoption without creating friction for developers - guardrails, not gates

  • Integrate security into the development lifecycle: select and tune SAST/DAST tooling, secrets scanning, and dependency scanning across CI/CD pipelines

  • Own vulnerability management: CVE triage process, remediation SLAs, and coordination across product verticals and IT operations

  • Map NEURA's product and IT landscape against regulatory requirements - EU Cyber Resilience Act, NIS2, ISO 27001, IEC 62443 - and close gaps proactively

  • Define the security bar for third-party components, libraries, and vendor integrations entering the supply chain

  • Scope and coordinate external penetration tests; validate that findings are remediated, not just acknowledged

  • Define what good looks like for future Product Security Engineers embedded in our product verticals - shaping their hiring profiles, mandates, and onboarding

  • Serve as the technical bridge between security and engineering: review major architectural decisions, communicate trade-offs, and translate risk into terms both developers and leadership can act on

What we can look forward to

  • 7+ years in cybersecurity, with a track record that spans both IT infrastructure security and product or application security - you are comfortable on both sides

  • Hands-on experience with threat modelling methodologies such as STRIDE or PASTA, and the ability to run sessions independently with engineering teams

  • Strong working knowledge of DevSecOps tooling: SAST, DAST, secrets scanning, software composition analysis, and CI/CD pipeline integration

  • Experience designing or assessing cloud security architecture on AWS, Azure, or GCP

  • Solid understanding of embedded and IoT security principles: secure boot, firmware integrity, OTA update security, and hardware trust anchors

  • Working knowledge of relevant frameworks and regulations: ISO 27001, IEC 62443, NIS2, and the EU Cyber Resilience Act

  • The communication range to explain a risk register to the CEO and a threat model to an embedded engineer - in the same day

  • Degree in Computer Science, IT Security, Electrical Engineering, or a comparable field - or equivalent demonstrated experience

  • CISSP, CISM, or a comparable certification is a strong plus

  • Experience in robotics, industrial automation, connected hardware, or AI system environments is particularly welcome

  • Awareness of emerging AI and ML security risks - adversarial inputs, model theft, training data integrity - is a differentiator at NEURA

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