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AI Frameworks Engineer — Intel

Lightspeed portfolio6,069 open roles

Pay
$149,750 – $275,580 a year
Where
US, California, Santa Clara; United States of America
Work mode
On site
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Your applicationOpen nowAI Frameworks Engineer — IntelLightspeed portfolio · US, California, Santa Clara; United States of America

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This job: posted today

The posting

Job Details:

Job Description:

The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful.

The Role and Impact As an AI Frameworks Engineer, you will design, develop, and optimize AI software frameworks that enable cutting-edge machine learning breakthroughs and scientific innovations. Your day-to-day responsibilities will focus on enhancing the performance and functionality of AI frameworks like PyTorch and TensorFlow, identifying and resolving bottlenecks, and implementing optimizations tailored to Intel's advanced hardware platforms. Your work will directly impact the scalability, efficiency, and usability of AI solutions across Intel's platforms, empowering researchers and developers to achieve groundbreaking results.

Business Group The Data Center Group (DCG) drives innovation in AI, and advanced data solutions, supporting Intel's mission to deliver world-class computing platforms. As part of the AI Frameworks division, this role contributes to optimizing popular AI frameworks to maximize performance on Intel's CPUs, GPUs, and AI accelerators. DCG fosters collaboration across teams and technologies to shape the future of AI workflows and computing systems globally.

Responsabilties:

Design, develop and optimize for AI Inference and finetuning workloads for performance benchmarking on Intel Data center CPU and GPU.

Implement various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in deep learning frameworks.

Propose optimizations in SW and kernel implementation to improve workload performance.

Profile DL and LLM models to identify performance bottlenecks and propose solutions across individual component teams.

Optimizing code for various computing hardware backends.

Interacting with external consortiums to propose and contribute benchmarks on Intel HW platforms.

The ideal candidate should exhibit the following behavior skills: Strong communication skills Work well in a team environment

Qualifications:

You must possess the below minimum qualifications 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. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences.

Minimum Qualifications: Bachelor's & 4+ years or Master's & 3+ years or PhD & 0 years of relevant industry experience in Computer Science or Computer Engineering or Electrical Engineering or AI or computer vision or SW Engineering or related technical discipline. Programming skills in languages like Python, C/C++ and CUDA Low level programming and performance optimization skills for CPU and GPU including code generation, performance optimization, distributed compute and resource management. Computer architecture. Deep Learning algorithms. DL frameworks (e.g. vLLM, SGLang, PyTorch, JAX, etc.)

Preferred Qualifications: Hardware-software co-design and stack optimization. Experience in using codegen agents to accelerate development. Advanced degree (Master's or Ph.D.) in Computer Science or related field. Background in AI framework internals, model execution, or backend integration. Experience with container technologies (Docker, Kubernetes) and orchestration environments. Knowledge of deep learning algorithms, model architectures, and workload patterns. Proven ability to optimize AI training or inference workloads for various hardware backends. Strong analytical skills to diagnose and solve complex software challenges. Passion for driving advancements in AI frameworks and enabling scientific progress.

Experience developing in Linux environments.

Join Intel to make a meaningful impact on the future of AI. Your expertise will play a pivotal role in advancing technologies that empower innovation and shape computing for generations to come.

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, California, Santa Clara

Additional Locations:

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.

Position of Trust

N/A

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: $149,750.00-275,580.00 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 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.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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