Job Details:

Job Description:

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.

Qualifications:

You must possess the below minimum qualifications 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.

Minimum qualifications:

• 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.

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Oregon, Hillsboro

Additional Locations:

US, Arizona, Phoenix

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

Benefits

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.

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.

• 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.