Customer Enabling Engineer

Bengaluru, Karnataka, India Job ID JR0262539 Job Category Software Engineering Work Mode Hybrid Experience Level Experienced

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Job Description

We are seeking a highly motivated and technically adept individual to join our team as a Customer Enabling Engineer. This role is pivotal in supporting our customers' deep learning and large language model technical challenges, interfacing with our RnD team for issue resolution, and managing projects that enhance our product offerings based on customer feedback. The ideal candidate will be a self-starter, proactive, and possess a strong blend of deep technical expertise, hands-on model enablement experience, and project management skills. Key Responsibilities: � Act as the primary technical point of contact for customer support issues, ensuring timely and effective resolution, including the provision of workarounds and temporary fixes. � Closely working with customers for their model enabling asks, providing workarounds and bugfixes, and enabling deployment of deep learning and large language model (LLM) models on PyTorch,. � Triage and manage JIRA tickets, collaborating with the RnD team to address and resolve product issues, bugs, and actively contribute to the development of permanent solutions. � Gather customer feedback on product features and functionality, advocating for the inclusion of new customer-driven features during Sprint planning sessions. � Interface with the Customer Support team at Intel to provide comprehensive support for Habana products, ensuring a seamless customer experience. � Attend customer meetings as required, representing the company and providing deep technical insights, support, and hands-on assistance with model enablements and optimizations. � Spend approximately 50 percent of the time on technical tasks, including hands-on development, troubleshooting, problem-solving, and issue resolution with a focus on deep learning and large language model deployments on PyTorch. � Dedicate the other 50 percent of the time to project management responsibilities, interfacing with various teams, managing stakeholder expectations, and ensuring project deliverables are met. � Work closely and directly with the Business team to align technical support and project management efforts with business objectives. � Be proactive in identifying potential issues and opportunities for improvement, and take the initiative to develop and implement solutions.

Qualifications

� Bachelor's degree in Computer Science, Engineering, or a related technical field. � Proven track record of 12+ years in software development, with extensive hands-on experience in developing and deploying various deep learning and large language model (LLM) models on PyTorch. � Solid understanding of AI frameworks, with a focus on PyTorch. Experience with TensorFlow is a plus, but not a primary requirement. � Good understanding of the complete AI Software stack and familiarity with AI hardware acceleration technologies. � Proficiency in programming languages such as Python, C++, or Java. � Proven experience in technical support, project management, and stakeholder management. � Strong understanding of the software development life cycle (SDLC) and Agile methodologies. � Excellent problem-solving skills and the ability to diagnose and resolve complex technical issues. � Excellent communication skills to articulate complex technical concepts to stakeholders. � Experience with JIRA or similar issue-tracking and project management tools. � Strong communication and interpersonal skills, with the ability to interface effectively with customers, support teams, and RnD. � Ability to work independently and as part of a team in a fast-paced environment. � Experience in customer-facing roles and the ability to manage customer expectations effectively. � Familiarity with Intel and Habana products is a plus. The successful candidate will be a critical link between our customers and our technical teams, ensuring that customer needs are met with advanced technical support and that our products continue to evolve in response to customer feedback. If you are passionate about deep learning technology, customer satisfaction, and project management, we encourage you to apply for this challenging and rewarding opportunity.

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.

It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel’s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at https://jobs.intel.com/ and not fall prey to unscrupulous elements.

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. In certain circumstances the work model may change to accommodate business needs.

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Maggie Offensive Security Researcher

“I’ve always wanted to do something that changes the world — at Intel, I feel appreciated, and I’ve gained more confidence in myself. It makes me feel like I’m capable of doing great things.”