SW Solutions Engineer

Intel•Hillsboro, OR

1d•Onsite

About The Position

DCG's Edge AI team is looking for a systems and solutions engineer to onboard, measure, analyze, and optimize the performance, quality, and efficiency of AI and non-AI workloads on Intel DCG platforms, including CPU (Xeon), GPU, and NPU. Workloads include commercial ISV solutions and synthetic benchmarks, optimized for edge, on-prem, and cloud deployments. Besides strong analytical skills, key requirements include hands-on experience with full-stack systems, including hardware setup and bring-up, performance tools, programming/scripting, virtualization/container technologies, OS, networking, and hardware architecture.

Requirements

Bachelor's in Computer Science, Electrical Engineering, or a related STEM field with 5+ years of relevant experience. OR Master's in Computer Science, Electrical Engineering, or a related STEM field with 3+ years of relevant experience.
Hardware bring-up (OS and middleware install, network setup, BIOS configuration)
scripting (Python, shell scripting)
performance tools (e.g. Linux perf)
container technologies (Kubernetes, Docker)
OS (primarily Linux)
Ethernet and networking

Nice To Haves

AI/ML (vision AI, Gen-AI, VLM, VLA) understanding with evaluation experience.
experience with ML frameworks (PyTorch, OpenVINO,vLLM, TensorFlow) and AI benchmarking.

Responsibilities

Performance Evaluation: Running benchmarks to measure latency, throughput, and memory usage.
Analysis and Reporting: Identifying bottlenecks and creating detailed reports, dashboards, and visualizations for performance data.
Automation: Building automated benchmarking pipelines to ensure reproducible results.
Collaboration: Working with internal and external stakeholders to optimize systems based on benchmark outcomes.