The ideal candidate will have the following attributes in addition to the qualifications listed below :
Excellent written and verbal communication skills, both technical and nontechnical
Major team player with demonstrated experience technically influencing others.
Strong problem-solving skills.
Passion to exceed expectations and constantly push the envelope.
Minimum Required Qualifications :
2+ years of experience analyzing and optimizing software using Python to improve performance with an ability to identify and resolve performance bottlenecks.
1+ years of experience in using transformers and large language models in Pytorch and understanding architecture of LLM.
1+ years of experience of using RedHat OpenShift or Kubernetes
Experience in using CSP (Cloud Service providers: AWS, GCP or Azure)
Experience developing, optimizing performance, and integrating LLM
Experience with model servings vLLM, Sglang
Having the following qualifications is a plus :
Experience with virtualization, Linux containers
Experience on customer collaboration
Understanding of effective use of the hardware's memory.
Education Requirement :
Bachelor's degree in Electrical or Computer Engineering, Computer Science, Math, Physics, or related field plus 5 years of industry work experience, OR
Master's degree in Electrical or Computer Engineering, Computer Science, Math, Physics, or related field plus 3 years of industry work experience, OR
PhD in Electrical or Computer Engineering, Computer Science, Math, Physics, or related field plus 1 years of industry work experience.
Benefits
At Intel, we offer a collaborative, supportive environment, where your equally brilliant colleagues will push you to be your best. There's no fear of failure - we know that's how innovation happens, and you'll never be bored.We offer competitive benefits and pay, opportunities for professional development and the flexibility you need to achieve balance. Intel fosters a collaborative environment allowing the brightest minds in the world to come together to achieve exceptional results.Competitive pay and Benefits:Including stock programs, Quarterly Bonuses, Employee Pension Plan, Medical plan and life insurance, Peer to peer recognition, Lunch card, Multisport Card/Holiday card, Groups of enthusiasts, Exclusive employee discounts, (online) events and many more.Opportunities for professional development and growth:Life and Community:We guarantee you will be working in a safe environment, in an organization which profoundly understands the current health situation worldwide. At both our offices and in your home, the security and wellbeing of you and your family is our utmost responsibility.Materials important for you - to learn more about Intel.Learn more about Intel in Poland: https://intel.ly/3eq8QlYJob Type:Experienced HireShift:Shift 1 (Poland)Primary Location:Poland, GdanskAdditional Locations:Business group:Health insuranceFlexible scheduleEquity / stock optionsPerformance bonus
Additional Information
Job Details:
Job Description:
Come join us in the DCAI SW Solutions and Ecosystem Enabling Group
We're in search of a highly qualified candidate to join our EMEA DCAI Software Group as an AI Software Performance Engineer.
In this role, you will:
Work with internal engineering teams, internal partners, and strategic customers to deliver optimized AI solutions using Intel products.
Analyze and characterize customers' AI workloads and deliver to the customer a Best Known Configuration (BKC) for optimal performance on Intel.
Research technical trends and utilizes AI expertise to prototype solutions and develop AI software including open source libraries and models.
Research, develop, and modify new or existing AI models, code, parameters, and/or quantization to address issues and modify operations to enhance customer performance.
Partner with AI framework engineers as needed to optimize end-to-end AI models to Intel hardware features.
Serve as a trusted technical advisor and provide technical enabling across our portfolio of Strategic Customers.
Partner with Intel software and hardware product development teams to accelerate and optimize future products in AI domains by leading application pre-enabling and product hardening.
Deliver competitive and differentiated benchmark collateral and identify then drive key workloads into product requirements.