Integrate hardware acceleration technologies (QAT, AVX-512/AMX, NIC offloads) into open-source security stacks such as Snort3, VPP, and Hyperscan.
Enable and optimize AI/ML models for security use cases such as malicious URL detection, phishing and fraud detection, anomaly detection, and encrypted traffic analysis, utilizing technologies such as OpenVINO™, vLLM.
Lead performance characterization, define benchmarking methods, and produce the collateral that shows customer value.
Drive Infrastructure as Code (IaC) automation for cloud and edge deployment, provisioning, and benchmarking using tools such as Terraform, Packer, and Ansible.
Evaluate emerging network security, AI, and platform technologies, and drive innovation through proofs of concept and reference implementations.
Provide technical leadership, mentor engineers, and lead design and code reviews.
Represent the team with customers, partners, and upstream open-source communities to speed up adoption of Intel-powered solutions.
Qualifications
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
10+ years of experience in networking or systems software development.
Strong programming skills in C and/or C++/Rust on Linux, with Python, PowerShell or Bash for tooling.
Hands-on experience with high-performance networking technologies such as DPDK, VPP, or kernel networking/XDP.
Exposure to AI/ML technologies and concepts, such as model training and inference, neural network architectures (CNNs, transformers), and LLMs, and how they apply to network security workloads.
Excellent communication and collaboration skills, with a proven ability to lead technical work across teams.
Preferred Qualifications
Master's or PhD in Computer Science, Electrical Engineering, or a related field.
Strong background in network security: firewall, IPS/IDS, IPsec/TLS, VPN, or deep packet inspection (DPI) and pattern matching.
Experience with AI/ML training and inference optimization (including model compression) for security use cases, using frameworks such as PyTorch, TensorFlow, OpenVINO™, and vLLM.
Upstream contributions to DPDK, VPP, Linux, or related networking/security open-source projects.
Track record of profiling and tuning performance at the microarchitecture level.
Experience with containers, Kubernetes, and cloud or edge deployment automation.
Experience integrating hardware acceleration technologies (QAT, NIC offloads) and vectorized optimization of software pipelines.
Experience with Snort3, Hyperscan, or comparable IPS and pattern-matching engines.
Familiarity with CI/CD pipelines and Infrastructure as Code tools.
Experience presenting technical solutions to customers, partners, and industry forums.
Job Type
Experienced Hire
Shift
Shift 1 (Ireland)
Primary Location
Ireland, Leixlip
Additional Locations
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
EU Salary
We offer a total compensation package that ranks among the best in the industry. Annual Salary Range for this job which could be performed in Ireland is: 76,000.00 € - €142,100.00

The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.
- Work Model for this Role
- This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
