Principal Engineers/Embedded AI Software CDI F/M

Adoc Talent Management; Boulogne-Billancourt; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A global telecommunications and digital services leader is seeking a Principal Engineer in Embedded AI Software to join their Research Center in France. The role involves leading development in core system software, designing AI solutions, and ensuring effective collaboration across teams. Required qualifications include a PhD or Master's degree in Computer Science and extensive experience in C development and network devices. The position offers competitive compensation and exciting technical challenges.

Prestations

Competitive salary

Performance-based bonuses

Career growth opportunities

Qualifications

• Over 10 years of experience in C development.
• More than 6 years in network device development.
• Over 5 years in architecture design.

Responsabilités

• Lead embedded system software development and optimization.
• Design data collection and standardization pipelines.
• Drive embedded AI system architecture design.

Connaissances

C development

Network device development

Architecture design

Time-series databases

Embedded AI data processing

Security products knowledge

Formation

PhD or Master’s degree in Computer Science

Outils

InfluxDB

TimescaleDB

PyTorch

TensorFlow

Description du poste

Adoc Talent Management is recruiting 2 Principal Engineers/Embedded AI Software F/M for his client, a global leader in telecommunications and digital services. You will join the Research Center in France, a key innovation hub in Europe focused on 5G, AI, IoT, and cloud computing, collaborating with academic and industry partners to develop cutting‑edge solutions.

Your Mission

You will lead key development efforts in core system software, security AI solutions, and embedded AI architecture. As part of the team, you will collaborate across product, algorithm, and testing teams to deliver cutting‑edge technological solutions.

Key Responsibilities

• Core System Development for Network Devices
  • Lead embedded system software development and optimization, focusing on time‑series databases, stream processing engines, correlation analysis engines, graph databases, and AI inference engine design.
  • Establish a governance framework for network device time‑series data (e.g., traffic logs, security events, system logs, RF data, system status) and design efficient storage, query, and real‑time analytics solutions.
  • Resolve performance bottlenecks in high‑concurrency scenarios to ensure system stability and low‑latency response.
• Security AI Solution Design
  • Design data collection, cleansing, and standardization pipelines aligned with product requirements (NGFW/HIPS/IPS/EDR) to support AI application architectures.
  • Collaborate with AI algorithm teams to optimize data pipelines and model inference interfaces for end‑to‑end efficiency.
• Architecture Design & Implementation
  • Drive embedded AI system architecture design and deliver modular, implementable solutions with clear technical documentation.
  • Define technology evolution roadmaps and advance key technologies from research to commercialization.
• Cross‑Team Collaboration & Delivery
  • Align technical solutions and business objectives across product, algorithm, and testing teams.
  • Manage R&D timelines to ensure high‑quality project delivery.

Your Profile

You hold a PhD or Master’s degree in Computer Science, Embedded Systems, or a related field.

Experience and Technical Skills

We are seeking a profile with over 10 years of experience in C development, more than 6 years in network device development, and over 5 years in architecture design.

• Hands‑on experience in developing, designing, and optimizing time‑series databases (InfluxDB/TimescaleDB/custom).
• Expertise in firewall/router/switch development.
• Familiarity with end‑to‑end embedded AI data processing (collection/cleansing/feature extraction/inference).
• Knowledge of security product scenarios (NGFW/IDS/IPS).

Nice to have

• Experience in collaborating with cybersecurity vendors and endpoint protection solution providers.
• Familiarity with PyTorch/TensorFlow model deployment optimization or AI inference engine development.
• Leadership in open‑source projects or publications in top conferences (e.g., USENIX Security).
• Knowledge of cybersecurity scenarios: NGFW policy matching/IPS signature detection/EDR behavioral analysis.

Why Join?

• 🌍Exciting technical challenges: Design large‑scale data processing architectures (millions of devices) and work alongside global security experts.
• 💼Career growth: A flexible promotion path with the possibility of advancing to Lab Director roles for top performers.
• 💰Attractive package: A competitive salary, along with performance‑based bonuses.

We are looking for someone who can translate business needs into technical architectures and break them down into actionable tasks. You should be able to coordinate effectively, collaborate to resolve conflicts, and ensure project completion. The ideal candidate will be results‑driven, deadline‑oriented, and capable of executing efficiently. An interest in technological trends, particularly in AI and cybersecurity, is a plus.

📝 Ready to take on the challenge?

Apply now by sending your CV, publications/patents, motivations & salary expectations to Adoc Talent Management!