Job Description

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Valeo is a tech global company, designing breakthrough solutions to reinvent mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leaders in our businesses, and recognized as one of the largest global innovative companies.

We are looking for a Solutions Architect to join our Technical Center within the R&D Center in Prague. The R&D Center in Prague is responsible for system validation activities supporting advanced driver assistance systems (ADAS) and autonomous driving technologies on a global scale.

In this role, you will design, evolve, and technically lead comprehensive IT, cloud, and HPC solution architectures for the global ADAS/AD System Validation Data Lifecycle Platform and AI projects. You will ensure alignment with functional and non-functional requirements while maintaining compliance with Valeo IT, SysVal CoE, R&D DSIS, Cyber Security, and international standards.

You will own the technical vision of the platform across the complete data journey — from global in-vehicle data recording and high-throughput ingestion to hybrid data transformation, automated and human-in-the-loop annotation, deterministic SIL/HIL/PIL reprocessing, KPI computation, and secure long-term archiving. The role also includes ensuring compliance with data privacy regulations such as GDPR and PIPL, as well as automotive standards including SOTIF and the EU AI Act.

YOUR CHALLENGES?

• Architectural Design & Technical Leadership: Leading the architectural design of the global ADAS validation platform across the 6 ADR layers (Ingest, Processing, Curation/Labeling, Validation, KPI, Archival). Designing hybrid environments connecting on-premise HPC and public clouds (AWS, GCP, Azure, Alibaba Cloud for China) under a Single Control Plane. Defining Kubernetes-native orchestration for massive compute workloads (auto-scaling)

• Linux & Deep Systems Optimization: Hands-on configuration and low-level parameters tuning of Linux systems (RHEL, Ubuntu) to achieve maximum I/O and network throughput. Optimizing kernel parameters (sysctl, network sockets, TCP buffer sizes, virtual memory, storage schedulers) to handle massive parallel ingest streams (100+ TB/day per site). Designing highly optimized Docker container runtimes with minimal overhead and rapid deployment capabilities on HPC nodes.

• Cloud & Multi-Site Networking: Architecting and managing network connectivity (LAN, WAN, VPC peering, ExpressRoute/Direct Connect, Transit Gateways) ensuring fast and secure interconnection of R&D sites (Prague, Bietigheim, Tuam, Troy, Shenzhen).

• Architecture Methodology & Standardization: Modeling and documenting the IT architecture using TOGAF, ArchiMate, and UML standards.

• XIL (SIL/HIL/PIL) Reprocessing & KPI Integration: Coordinating the integration of physical and virtual simulation loops (SIL, HIL, PIL, MIL co-simulation). Designing the "HIL Bridge" to enable remote job execution and result ingestion from hardware-in-the-loop benches (dSPACE SCALEXIO, NI VeriStand, Vector CANoe). Architecting deterministic execution models and integrating the pluggable KPI engine for automated cross-release software comparisons (N vs. N-1).

• Data Management, Traceability & Compliance: Ensuring immutable end-to-end Data Lineage from sensor to compliance package, building the regulatory audit trail for Euro NCAP, UNECE WP.29, and ISO 26262. Designing policy-driven tiered storage transitions (Hot/Warm/Cold) with automated data aging rules supporting up to 15 years retention. Implementing strict multi-tenant isolation (RBAC, customer-managed encryption keys BYOK/HYOK) and monitoring secure tamper-proof access logs.

LET'S TALK ABOUT YOU...

• University Degree: Master’s degree (Ing. / M.Sc) in a technical field: Computer Science, Software Engineering, IT, or Electrical Engineering.

• At least 8 years of experience in IT/Cloud engineering, with at least 4 years as an IT/Solutions Architect focusing on complex distributed data platforms.

• Deep Hands-On Linux Expertise: Advanced Linux administration, low-level kernel tuning, system call optimization, and storage I/O performance tuning for high-throughput pipelines.

• Advanced Networking: Proven background in network topology design (VPC peering, ExpressRoute, VPN, complex routing, firewall rules, hybrid-cloud networks).

• Containerization & Orchestration: Practical experience in deploying and operating production-grade Kubernetes clusters and Docker runtimes.

• Certifications (highly preferred):

  • Cloud: AWS Certified Solutions Architect Professional / GCP Professional Cloud Architect.

  • Kubernetes: CKA (Certified Kubernetes Administrator) / CKAD.

  • Architecture: TOGAF 9/10 Certified Practitioner.

• Experience with ADAS/AD system development, automotive protocols, and HIL/SIL/PIL simulation pipelines is an advantage.

• Fluent professional English (C1/C2) written and spoken. Czech is a strong plus for local coordination.

WE OFFER:

• Work in a stable international company in a multinational team

• Work with cutting-edge technologies in Automotive

• Possibility to see the whole development process in one place - from an idea (customer requirement) to a product (e.g. automated parking ECU)

• 6 weeks of vacation per year

• Flexible working hours and home office possibility

• Variable remuneration - monthly and semester bonuses depending on team and company result

• Contribution to the pension insurance after the probation period, 5% from the gross salary

• Meal vouchers and free time vouchers on Flexi Pass card

• Possibility of Multisport card

• Fitness room and external sports ground (football, basketball, volleyball) on site

Job:

Engineering Disciplines Management, R&D Team Leader/Architect

Organization:

Product Management

Schedule:

Full time

Employee Status:

Regular

Job Type:

Main Employment (standard value)

Job Posting Date:

2026-05-26

Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo: https://www.valeo.com