SW Solutions Engineer

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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.
Responsibilities include 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.
Candidate should be driven, a self-starter, with a sense of ownership and strong communication skills to translate technical details into business impact.

to be initially considered for this position.
Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.

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.
Depending on the degree obtained you will need the listed years of experience in all of the below areas: 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 Preferred qualifications: AI/ML (vision AI, Gen-AI, VLM, VLA) understanding with evaluation experience. experience with ML frameworks (PyTorch, OpenVINO,vLLM, TensorFlow) and AI benchmarking.

We offer a total compensation package that ranks among the best in the industry.
It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
Find out more about the benefits of working at Intel .
Annual Salary Range for jobs which could be performed in the US: $149,750.00-275,580.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

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