Job Description:
1. Responsible fAI solution build customer enablement with Intel CPU AI acceleratproducts (Xeon, Client/edge platform, Gaudi AI accelerator, ARC dGPU, following), target customers include OXM, ISV/SI, CSPs large vertical end-users.
2. Directs manages a team of AI software engineers architects responsible fthe development and/validation of software fa specific Intel product segment technology over multiple areas of the software lifecycle, including design, development, validation, debug, optimization, customer engagement, and/product support.
3. work closely with BU team, SMG sales FAE/ITS counterpart to pursue business opportunity win Intel platform by AI software solution enablement, customization, jointly validation, optimization trouble shoot.
4. Responsible fenabling teams to execute through clear goal setting, facilitating work, maintaining accountability, applying differentiated performance management, driving team results.
5. Drives results by inspiring people, role modeling Intel values, developing the capabilities of others, ensuring a productive work environment.
Qualifications:
1. A Bachelors Masters in Computer Science a related field is required, coupled with 10+ years of software development experience 5+ years directly managing an engineer teams.
2. Proven expertise in x86 data center/edge/client platform AI solution fcustomer enablement is essential.
3. Experience leading teams through the entire platform development lifecycle, from design development to validation, optimization, product support, is critical fthis role.
4. A demonstrated ability to drive team results through effective goal setting, performance management, mentorship, fostering a productive work environment is necessary.
5. Strong strategic leadership communication skills are required to influence stakeholders articulate complex technical concepts to diverse audiences.
更新于 2025-10-21
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Principal responsibilities：
-Design, implement, maintain highly available, scalable infrastructure solutions, leveraging automation to streamline operations.
-Monitsystem performance, proactively identify potential issues, drive incident response root cause analysis.
-Collaborate with cross-functional teams (development, product, security) to integrate reliability best practices the entire software lifecycle.
-Develop manage automation scripts, CI/CD pipelines, infrastructure-as-code (IaC) frameworks to enhance efficiency reduce manual intervention.
-Optimize cloud resources, cost management, disaster recovery strategies to ensure business continuity.
Qualifications ：
-Experience: Minimum 5 years in IT operations Site Reliability Engineering, with a focus on infrastructure management system optimization.
-Technical Skills: Proficiency in operation control tools such as Ansible, Puppet, Chef, Terraform, Prometheus, Grafana, ELK Stack.
-Strong scripting skills in Python, Shell, similar languages.
Cloud Competency: Solid experience with majcloud platforms (AWS, Azure, GCP), including services like EC2, Lambda, Kubernetes, containerization.
-Problem-Solving: Proven ability to troubleshoot complex issues across distributed systems, networks, applications.
-Communication: Excellent written verbal communication skills, with the ability to collaborate effectively in a fast-paced, dynamic environment.
Preferred Qualifications:
-3+ years of dedicated experience in cloud service operations, with expertise in cloud-native architectures microservices.
-Certifications in AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, equivalent.
-Experience with service mesh technologies (e.g., Istio) observability tools (e.g., Jaeger).
-Familiarity with DevOps culture practices, including agile methodologies continuous improvement frameworks.
-Bonus: Proven experience in developing IT operation maintenance tools using Python, demonstrating the ability to automate complex workflows solve real - world problems.
更新于 2025-12-16
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