Senior Network Security/AI Software Engineering
Intel is hiring a Senior Network Security/AI Software Engineering. It pays €142k a year and Level rates it ; you can apply on Intel.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- The posting mentions vLLM, PyTorch and TensorFlow among its tools and skills.
- Level classes it as a senior role.
- Intel has 863 other open roles on Level.
- Posted in the last few days.
AI in this role
Job Description:
The Senior Network Security Software Development Engineer will lead the architecture, development, and delivery of open-source, high-performance network security and AI reference solutions for the Network Software Enabling team in the Enterprise/Cloud Networking segment. This role works closely with architects, customers, and ecosystem partners to define technical requirements and to build reference workloads, with best known methods and configurations, optimized for Intel® Xeon® processors and accelerators across on-prem, edge, and cloud deployments.
The successful candidate will drive the design and optimization of security data planes and AI-enabled security workloads. These include Next-Generation Firewall, Secure Web Gateway, SD-WAN etc. focusing on key performance areas such as scale-up, load distribution, crypto processing, pattern matching, and the migration to AI-driven security functions. The role requires expertise in high-performance packet processing, network security functions, hardware acceleration, performance engineering, and deployment automation.
Key Responsibilities
- Own the architecture and technical roadmap for one or more network security reference solutions, and keep design consistent across the portfolio.
- Design and optimize packet-processing and security pipelines for throughput, latency, and TCO on current and upcoming Intel® Xeon® platforms.
- 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 HireShift:
Shift 1 (Ireland)Primary Location:
Ireland, LeixlipAdditional 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.Position of Trust
N/A
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.*
How we rate this
Senior Network Security/AI Software Engineering at Intel rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used vLLM hands-on?
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of TensorFlow that you've run into, and how did you work around them?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: vLLM, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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