Job Details:Job Description: The AI solution engineer is 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.
Delivers end to end 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.
- Contributes applied/customer knowledge to AI roadmap working with AI system architects.
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.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Master's Degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or related STEM field
1+ years of experience in 1 or more of the following:
AI Systems and Solutions
Foundational knowledge of deep learning and machine learning algorithms, frameworks, and models.
Proficiency in programming languages such as Python, C++, or similar.
Familiarity with AI software tools and platforms, including TensorFlow or PyTorch.
Understanding of systems integration, hardware/software components, and development lifecycles.
Job Type:College Grad
Shift:Shift 1 (United States of America)
Primary Location: US, Oregon, Hillsboro
Additional Locations:
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: $133,410.00-188,340.00 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.
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