Lab Summary:

Samsung Research America is looking for outstanding researchers to join our Emerging Technologies (ET) Group.  The ET Group is uniquely positioned to be at the heart of Samsung Research America’s innovation engine aimed towards advancing Samsung’s product offerings across smartphones, wearables, TVs, XR devices, and identifying the next big growth drivers for Samsung across a range of emerging technologies.

Position Summary: 

We are looking for highly skilled and motivated researchers/engineers who can contribute to the development of fast LLM inferencing techniques, AI technology stack optimization, neuro-symbolic AI models, temporal knowledge graphs, and multimodal reasoning.

Position Responsibilities

• Speculative decoding algorithms tailored for LLMs
• Optimization of GPU/TPU utilization to minimize latency in token generation pipelines
• Analyzing bottlenecks in model inference (e.g., memory bandwidth, compute constraints) and propose solutions to improve benchmark model performance pre- and post-optimization
• Lead integration of multiple projects at the intersection of Cognitive Modeling, Machine Learning, Knowledge Representation and Reasoning  
• Collaborate with a multidisciplinary team of researchers across different teams
• Stay ahead of industry trends in LLM acceleration (e.g., dynamic batching, quantization, kernel fusion)
• Publish findings and contribute to open-source projects
• Generate creative solutions (patents), publish research results in top conferences (papers)

 Required Skills:

• PhD in C.S., EE or related fields or equivalent combination of education, training and experience
• 2+ years of work experience after PhD.
• Expertise in knowledge graph and retrieval augmented generation (RAG) models
• Experience in Contextual intelligence
• Experience in large language model (LLM), including Transformer model architecture, attention mechanisms, decoder only LLMs, and autoregressive model optimization
• Proficiency in PyTorch, CUDA, and distributed training/inference framework (e.g., DeepSpeed, vLLM) 
• Hands-on experience profiling and optimizing LLMs on GPUs/TPU
• A strong publication record in top-tier AI and NLP conferences is a plus

Special Attributes:

• Ability to debug complex, latency-critical systems
• Strong analytical and problem-solving skills, with a keen attention to detail and a passion for pushing the boundaries of AI capabilities
• Excellent written and verbal communication skills, with the ability to present complex concepts and research findings in a clear and concise manner
• Demonstrated ability to work independently as well as collaboratively in a fast-paced research and development environment

Additional Information

Disclosure of Trade Secrets

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.

Equal Employment Opportunity

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Research America is committed to employing a diverse workforce, and  provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency