Solution Engineer — Agentic Platform
The Role and Impact
As an AI Software Solutions Engineer, you will work closely with internal teams and external partners to deliver optimized AI solutions using Intel products. Your day-to-day will involve developing and fine-tuning AI software, frameworks, and models to enhance performance and drive adoption of Intel technologies. This role is critical in advancing AI innovation and ensuring that Intel's solutions remain at the forefront of the industry.
Business group
The CCG PCE group is a part of Intel Corporation, focused on delivering cutting-edge AI solutions that empower businesses and drive technological growth. The team collaborates on innovative projects to optimize performance, develop competitive benchmarks, and enhance Intel's product offerings in AI and HPC domains. Join a mission-driven organization that plays a pivotal role in shaping the future of AI technology.
Key Responsibilities
- Collaborate with internal engineering teams and external partners to deliver optimized AI solutions using Intel products.
- Research technical trends and develop AI software, including open-source libraries and models.
- Optimize AI model performance by utilizing expertise in AI frameworks, algorithms, and hardware.
- Develop and adjust AI models, code, and parameters to address issues and enhance operations.
- Partner with AI algorithm and framework engineers to optimize end-to-end AI models for Intel hardware features.
- Serve as a technical advisor and provide enabling support to customers and partners.
- Work with Intel's software and hardware teams to accelerate and optimize future products in AI and HPC domains.
- Deliver competitive benchmark collateral and drive key workloads into product requirements.
Minimum Qualifications
- Bachelor's degree in a relevant field with 0-1 years of hands-on experience in domain with demonstrated skills gained through internships, academic projects, coursework, or hands-on training OR a Master's degree in a relevant field with no prior professional experience.
- Proficiency in AI frameworks such as TensorFlow or PyTorch.
- Knowledge of optimization techniques for AI models and hardware acceleration.
- Familiarity with programming languages commonly used for AI applications, including Python or C++.
Preferred Qualifications
- Strong problem-solving skills and ability to analyze complex technical issues.
- Excellent communication skills and ability to collaborate effectively across teams.
- Passion for learning and staying updated on emerging AI technologies.
Take the next step in your career by joining Intel's innovative team, where you'll have the opportunity to shape the future of AI while growing your expertise in a collaborative, high-impact environment.
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