Senior AI/ML System Security Architect (m/f/d)

NXP Semiconductors
Last week
Job Type
Permanent
Work Pattern
Flexible
Work Location
Hybrid
Seniority
Senior
Education
Masters
Posted
22 May 2026 (Last week)

Benefits

Home office Flexible working time Meal benefits

Join one of the world’s largest industrial security teams — and build technology that protects real devices worldwide.
At NXP’s Competence Center Crypto & Security, we design, build, and deliver end-to-end security — from early innovation to architecture to products in the field.
If you're a security engineer who wants to create real-world impact, we’d love to hear from you.

Are you ready to shape the next generation of secure edge intelligence?


At NXP, we are pioneering trusted technologies that bring AI/ML efficiently and securely to the edge—where performance, privacy, and protection truly matter.

We are looking for aSystem Security Architecture Expert with a strong focus onAI/ML for edge systems based on NXP products to help us design the future of secure embedded intelligence.

Your Role: Building Security for the Edge of Tomorrow

In this influential role, you will:

  • Analyze emergingsecurity threats related to AI/ML on edge devices

  • Define and architectinnovative countermeasures that meet real-world customer needs

  • Integrateregulatory and certification requirements into robust security concepts

  • Evaluate thecost-benefit trade-offs of security mechanisms and communicate your findings clearly across diverse technical and business teams

  • Explore how to implement effective protections onhighly resource‑constrained devices

  • Stay ahead of fast-evolving developments in theAI/ML and embedded security ecosystem

You’ll work closely with experts across NXP—spanning hardware, software, architecture, and product management—to elevate product security to the next level.

To thrive in this role, you ideally have:

  • Master or PhD in Electrical Engineering, Computer Science, Mathematics, or a related field

  • Solid experience designing or developing secure systems for embedded environments
    OR hands-on experience deployingAI/ML solutions on edge devices with strong interest in security

  • Solid understanding ofembedded software design principles

  • Excellent communication skills to articulate architectural strategies to a wide range of stakeholders

At NXP, you’ll contribute to cutting-edge technologies shaping secure connected devices around the world. You will work alongside some of the top specialists in cryptography, system security, and AI/ML—while influencing solutions that impact billions of users every day.

If you’re driven by innovation and excited about securing the AI-powered edge, we’d love to meet you.

Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.

For applications in Gratkorn: NXP provides market competitive compensation according to the benchmarking of the electronic and semiconductor industry. Due to the Austrian Equal Treatment Act we are obligated to state the employment group of our applicable collective bargaining agreement (CBA) “Kollektivvertrag für Angestellte Gewerbe und Handwerk und in der Dienstleistung“, this position (fulltime) is graded in Employment Group V after 6 years. Your individual experiences and expectations will be considered in the application process. Moreover, we provide attractive benefits to our employees like home office, flexible working time, meal benefits and more.


More information about NXP in Austria...

#LI-a8a1

Related Jobs

View all jobs

Senior AI/ML System Security Architect (m/f/d)

NXP Semiconductors Austria
Hybrid

Senior AI/ML System Security Architect (m/f/d)

NXP Semiconductors
Hybrid

Senior AI/ML System Security Architect (m/f/d)

NXP Semiconductors
Hybrid

Embedded Systems Engineer - AI innovation

Safran Llantarnam, Gwent, United Kingdom
On-site

Senior Edge GTM EMEA, AWS WWSO EC2 and Networking

Amazon London, United Kingdom
Hybrid

Senior Embedded Systems Engineer

Enterprise Recruitment Nottingham, Nottinghamshire, United Kingdom
£50,000 – £70,000 pa On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Edge Computing Jobs in the UK (2026 Guide)

Where to advertise edge computing jobs UK in 2026: the specialist boards and channels that reach embedded, IoT, 5G MEC and edge AI engineering talent. Edge computing sits at the intersection of embedded systems, networking, cloud infrastructure and real-time data processing — and the professionals who specialise in it are a small, highly technical community not well served by general job boards. Candidates with genuine edge and IoT expertise are rarely browsing general platforms, and roles in this space are frequently misunderstood or miscategorised by non-specialist recruiters. This guide, published by EdgeComputingJobs.co.uk, covers where to advertise edge computing roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Edge Computing Jobs UK 2026: What to Expect Over the Next 3 Years

Edge Computing Jobs UK 2026: roles, salaries and the IoT, 5G and edge AI hiring trends shaping UK edge computing careers over the next three years. Edge computing is quietly becoming one of the most consequential technology shifts of the decade — and the jobs market is starting to reflect that. As the limitations of centralised cloud infrastructure become apparent across industries that require real-time processing, ultra-low latency, and data sovereignty, the demand for professionals who can design, build, and manage computing at the edge has moved from niche to mainstream. But the edge computing jobs market of 2026 is not yet the mature, well-defined landscape that cloud computing has become. It is still forming. New architectures are emerging, standards are being established, and the range of industries deploying edge infrastructure is expanding rapidly — from manufacturing and telecommunications to healthcare, retail, autonomous vehicles, and smart cities. That creates a particular kind of opportunity for job seekers: the chance to build deep expertise in a discipline that is growing faster than the talent pipeline serving it. The candidates who will thrive over the next three years are those who understand where edge computing is heading — which use cases are driving commercial deployment, which technologies are defining the architecture of distributed systems, and how the skills required to work at the edge differ meaningfully from those that served professionals well in centralised cloud environments. This article breaks down what the UK edge computing jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.