Senior System Validation Engineer

Job Description

Responsible for the overall design and development of integrated Artificial Intelligence (AI) solutions for deep learning and machine learning systems that integrate hardware, software, firmware, board, and silicon components with specific focus on customer requirements and implementation limitations throughout the systems lifecycle. May also be responsible for AI systems architecture and definition, including translating the business opportunity into use cases and developing product specifications for required hardware and software needed to deliver system requirements. Impacts and influences the AI product roadmap and development based on profound comprehension of AI and deep learning algorithms, deep learning customer requirements, and deep learning software frameworks. Impacts related technologies/components such as memory, security, and OS that may be central to the final solution. Develops new methods in the areas of reinforcement learning, policy learning, computer vision, machine learning, simulation, sim2real, autonomous driving, and robotics. Leads design, analysis, and implementation of componentlevel choices across the integrated AI systems on performance, features, and cost, including analysis of risks and emphasis on ease of use, reliability, security, availability, maintainability, sustainability, and quality. Defines systems implementation and integration approach and plans to ensure optimum performance and reliability across hardware and software that comprise the system. Delivers endtoend technical solutions to solve customer problems, deploying solutions, executing benchmark tests, and preparing documentation. Conducts analysis and makes reliable engineering recommendations to ensure reliability/resiliency of the AI infrastructure. Monitors and reports on utilization and plans continuous process improvement. Collaborates with other teams to analyze next generation requirements and opportunities and may influence and guide research and academic collaboration in the space of cloud systems and solutions, including proofofconcept and solutions beyond current industry approaches. Simulates reallife environments in the cluster environment and analyzes performance of prototypes. Contributes applied/customer knowledge to AI roadmap working with AI system architects.

Qualifications

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

Minimum Qualifications:

BSc Graduate in Electrical engineering
HW / System background with 8 or more years of proven experience
Leader in soul
LAB background and Test equipment experience
High speed signals experience (PCIe / Serdes)
Independence and self-driven
Team player and highly motivated
Hands on experience with complex systems and HW
platforms
Experience with hardware debugging and
troubleshooting techniques.
Experience with Linux system environment.
Familiarity with test automation tools and frameworks.
Ability to read and interpret hardware schematics and
datasheets.
Strong knowledge of electrical and electronic systems.

Preferred Qualifications:

Advantage - HW design experience.
Advantage - SW capability, Python programing

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Inside this Business Group

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

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.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.