Platform Application Engineer (DPDK/Cloud-native/AI)

Location: India, Bangalore

Time Type: Full time

Job Description

Job Details:

Job Description: 

Intel is seeking a highly motivated Platform Application Engineer (PAE) with deep expertise in DPDK based packet processing and a strong drive to leverage emerging AI driven engineering technologies. The role requires an engineer with a steep learning curve, someone who proactively leads the adoption of new technologies-particularly AI/ML tools and workflows-and integrates them effectively into existing customer solutions. The ideal candidate is passionate about performance critical networking software, excels in hands on problem solving, and is eager to pioneer the use of modern AI capabilities to enhance productivity, debugging, and next generation packet processing architectures. Key Responsibilities • Support and guide customers in developing high performance packet processing applications on Intel Architecture using DPDK, Intel drivers, firmware, and related software stacks. • Act as a trusted technical consultant to third party developers, enabling them to port, optimize, and scale their applications on Intel platforms. • Develop demonstrations, benchmarks, reference designs, and prototype applications on multicore communication processors (Xeon, Atom). • Prepare high quality customer facing documentation, including Application Notes, White Papers, Device Advisories, and technical presentations. • Serve as the first technical point of contact for customer software integration and bring up activities. • Act as a technical bridge between Intel's engineering teams and customer teams, ensuring timely issue resolution and architectural alignment. • Reproduce, root cause, and report issues to relevant design teams; propose workarounds where feasible. • Collaborate with Intel's development, marketing, program management, and telecom application teams to define and promote optimal customer solutions. • Deliver training, debugging support, and onsite integration assistance as required (some travel expected). • Support the transition of bare metal packet processing applications to cloud native architectures

Qualifications:

Qualifications • B.E. / B.Tech. / M.E. / M.Tech. / M.C.A. / MS (Computer Science, Networking, Electrical, Electronics and Communication, or related fields). • Experience: 5 to 10 years. ________________________________________ Skills and Expertise Required Communication and Core Engineering Skills • Strong oral and written communication skills. • Strong development, debugging, and problem solving abilities. Networking and Protocols • Knowledge of Datacom protocols: o Ethernet o IPv4 / IPv6 o TCP / UDP o Application layer protocols • Understanding of Switching and Routing. Programming and Platform Expertise • Strong programming experience with C on Linux. • Experience with DPDK and virtualization on Intel x86 platforms. • Experience in data plane packet processing on Network Processors, Multicore SoCs, or Intel multicore platforms. • Knowledge of microprocessor architecture. • High level understanding of Telecom Networks (3G, LTE, 5G). Cloud Native Expertise Hands on experience in deploying cloud native Applications using: • Containerization (Docker/Container) • Orchestration (Kubernetes) • Microservices architectures AI/ML Model Development and Deployment Fundamentals 1. High-level knowledge of Neural Network Architectures (MLP, CNNs, ResNets) 2. Knowledge of model evaluation metrics, including accuracy, precision/recall, F1 score, latency, and throughput 3. Familiarity with common deep learning frameworks such as PyTorch, TensorFlow, and Keras 4. Experience with model exchange and serialization formats (e.g., ONNX, PyTorch .pt, TensorFlow .pb) 5. Experience running AI/ML models on local or remote machines and interacting with them via APIs. AI and ML Tools • Hands on experience using AI assisted developer tools, including: o GitHub Copilot o Microsoft Copilot o ChatGPT o Claude For tasks such as information retrieval, debugging, and code generation.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

Business group:

At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.

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

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.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.