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Neura Robotics

Senior Security Architect (Human)

Metzingen / Riederich

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hirly's read of this role

Seniority
Senior
Country
DE
Work mode
On-site / unstated
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Original posting on Neura Robotics's site ↗

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