Principal Engineer, AI Serving Framework Architect (Software)

Samsungsemiconductor

San Jose (CA)

On-site

USD 219,000 - 351,000

Full time

14 days+

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Benefits offered by this job

4+ weeks of paid time off per year
Medical/Dental/Vision/401k
Flexible work environment
Onsite Café and gym

Job summary

Samsung Semiconductor is looking for a Principal Engineer, AI Serving Framework Architect in San Jose. You will lead research teams and innovate methodologies for AI inference performance. The ideal candidate holds a PhD and has extensive experience in AI Serving Frameworks.

Be part of a team offering a flexible work environment, diverse benefits, and a commitment to equal opportunity employment.

Qualifications

  • 10+ years of experience in AI Serving Framework for large-scale computing focused on AI workloads.
  • Led a project to optimize a Large Language Model Inference Software Stack.
  • Strong understanding of compute, memory, and networking bottlenecks in AI systems.

Responsibilities

  • Lead research teams in Korea and propose technical direction.
  • Research dynamic scheduling methodologies for AI inference performance.
  • Investigate methods to accelerate search operations in RAG’s vector DB.

Skills

PyTorch
Python
C++

Education

PhD in Computer Science or a related field

Job description

Job Title: Principal engineer, AI Serving Framework Architect (Software)

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42853

What You’ll Do
  • As a Tech Lead, leading research teams in Korea and proposing technical direction
  • Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory
  • Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory
  • Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls
  • Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM
What You Bring
  • PhD in Computer Science or a related field with 10+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads.
  • Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users.
  • Extensive experience in designing AI Inference Software Stacks for heterogeneous devices. In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM.
  • Proficiency in AI Inference System Profiling and optimization.
  • Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models.
  • Strong understanding of compute, memory, and networking bottlenecks in AI systems.
  • Required skillsets: PyTorch, Python, and C++
  • A collaborative mindset, curiosity, and resilience in solving complex challenges.
  • Excellent verbal, presentation, and written communication skills.
  • (Nice to have) Native or fluent Korean speakers are preferred.
  • You’re inclusive, adapting your style to the situation and diverse global norms of our people.
  • You approach challenges with curiosity and resilience, seeking data to help build. Understanding.
  • You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change
Base Pay Range

$219,000 — $351,000 USD

What We Offer
  • Pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
  • This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
  • Give Back: With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
  • Enjoy Time Away: You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
  • Care for Family: Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
  • Prioritize Emotional Wellness: With on‑demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
  • Stay Fit: Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
  • Embrace Flexibility: Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy

Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long‑term conditions, neurodivergent individuals, or those requiring pregnancy‑related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.

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