Principal Embedded Software Engineer
il y a 7 jours
We are seeking an experienced Principal Engineer to lead embedded AI software development for network devices.
This role focuses on core system development, AI-driven security solutions, and architecture design while collaborating with cross-functional teams to drive innovation in network security and performance optimization.
Responsibilities
- Embedded System Development : Design and optimize embedded software for network devices, including time-series databases, stream processing engines, correlation analysis engines, graph databases, and AI inference engines.
- Data Governance & Analytics : Develop frameworks for managing network device data (e.g., traffic logs, security events, RF data) with efficient storage, querying, and real-time analytics.
- Performance Optimization : Identify and resolve performance bottlenecks in high-concurrency, low-latency scenarios.
- Security AI Solutions : Design data pipelines for security applications (NGFW, HIPS, IPS, EDR), collaborating with AI teams to enhance inference efficiency.
- Architecture & Roadmap Development : Define system architectures, create modular solutions, and establish technology evolution roadmaps.
- Cross-Team Collaboration : Work closely with product, algorithm, and testing teams to align solutions with business objectives and ensure high-quality project execution.
Requirements
- Education & Experience:
- Master's degree or higher in Computer Science.
- 10+ years of C development experience.
- 6+ years in network device development.
- 5+ years in architecture design.
- Strong background in firewall, router, and switch development.
- Experience designing and optimizing time-series databases (InfluxDB, TimescaleDB, or custom solutions).
- Knowledge of embedded AI data processing, including collection, cleansing, feature extraction, and inference.
- Understanding of security technologies like NGFW, IDS, and IPS.
- Ability to translate business needs into scalable architectures.
- Strong cross-functional collaboration and problem-solving skills.
- Results-oriented with a proactive approach to meeting deadlines.
- Deep interest in AI-driven cybersecurity solutions.
- Experience with cybersecurity vendors and endpoint protection solutions.
- Familiarity with AI model deployment and inference engine optimization (PyTorch/TensorFlow).
- Contributions to open-source projects or research publications in security conferences.
This is an exciting opportunity to work on cutting-edge AI and security solutions for next-generation network devices.
If you're passionate about innovation in cybersecurity and AI, apply now or email
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