Senior Staff Engineer, GPU Architect, Machine Learning

Samsung Electronics Co., Ltd.$198K — $297K *
Consumer Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 11+ years of experience in relevant technical field, or 9+ years with a Master's, or 7+ years with a PhD.
  • Strong knowledge of machine learning principles and architectures.
  • Experience in computer vision algorithms, AR/VR, and Ray Tracing.
  • Familiarity with workload analysis, modeling, and performance optimization techniques.
  • Proficient in programming languages like C++ and Python.
  • Experience with GPU architecture and graphics pipeline design.
  • Familiarity with ML frameworks such as TensorFlow and PyTorch.

Responsibilities

  • Lead the design and development of innovative ML solutions for Samsung's mobile GPUs.
  • Collaborate with cross-functional teams to define new GPU features.
  • Analyze ML workloads to identify optimization opportunities and guide architectural trade-offs.
  • Improve hardware-software integration to enhance GPU architectures for ML workloads.
  • Drive architectural innovation to support efficient execution of large-scale AI models.
  • Stay updated with industry trends to advance best practices in GPU and ML,

Benefits

  • Medical, dental, and vision insurance.
  • Life insurance and 401(k) plan.
  • Onsite lunch and employee purchase programs.
  • Tuition assistance after 6 months and paid time off.
  • Student loan program and wellness incentives.
  • Eligibility for MBO bonus compensation and potential long-term incentive plan.
Full Job Description
Position Summary

As a Senior Staff GPU Architect - Machine Learning, you will help lead the design and development of innovative machine learning (ML) solutions for Samsung's premium mobile GPUs.

In this high-impact individual contributor role, you will drive architectural innovation at the intersection of GPU and machine learning design to enable efficient execution of large-scale AI models. You will collaborate across hardware, software, and research teams to define new GPU features, analyze workloads, and deliver architectures that advance performance, power efficiency, and scalability for next-generation intelligent computing.

  • You are passionate about architecting and defining ML-driven hardware features and extensions that integrate seamlessly with the graphics pipeline, advancing GPU performance, power, and functionality for AI workloads.
  • You enjoy learning about analyzing and modeling representative ML workloads to identify bottlenecks, uncover optimization opportunities, and guide architectural trade-offs that maximize PPA on applications such as LLMs, LVMs, and image classification.
  • You support design excellence by working on improving middleware and hardware-software integration to optimize GPU architectures for ML workloads-ensuring maximum performance and power efficiency.
  • You proactively seek cross-functional collaboration with GPU architects, RTL and software engineers, and research teams, to translate ML insights into production-ready GPU designs and influence long-term AI architecture roadmap.
  • You take initiatives on moderate-to-complex projects and help advance best practices, methodologies by staying ahead of industry trends and emerging technologies.


Skills and Qualifications

  • 11+ years of experience with a Bachelor's degree in Computer Science/Computer Engineering/relevant technical field, or 9+ years of experience with a Master's degree, or 7+ years of experience with a PhD.
  • Knowledge of machine learning principles and architectures
  • Knowledge of computer vision algorithms, AR/VR, and Ray Tracing
  • Knowledge of computer architectures and performance optimization
  • Experience with workload analysis and modeling
  • Strong programming skills in languages such as C++, Python, or similar
  • Familiarity with LLMs, LVMs, and image classification
  • Experience with GPU architecture and graphics pipeline
  • Knowledge of ML frameworks and tools (e.g., TensorFlow, PyTorch)
  • Ability to write clear and concise technical specifications
  • Strong analytical and problem-solving skills, with the ability to identify bottlenecks and propose data-driven solutions
  • Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment


Our Team

The GPU Architect team delivers whole system architecture-level design for Samsung's current and next-generation mobile GPUs. Our work spans a wide range of disciplines-from early-stage architectural exploration and research in graphics and machine learning, to shaping the GPU innovation roadmap, defining new features, building models, and delivering microarchitecture design and programming. Our Xclipse GPU is the first mobile GPU with ray tracing technology that enables console-level graphics for Samsung Galaxy smartphones.

Joining our team means collaborating with talented engineers from diverse technical backgrounds across a global organization. Here you'll contribute to the roadmap for next-generation technologies, broaden your expertise, and solve impactful challenges in a supportive environment that values collaboration, continuous learning, and growth.

Total Rewards

At Samsung - SARC/ACL, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,200 and $297,200. Your actual base pay will depend on variables that may include your education skills, qualifications, experience, and work location.

Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.

Additionally, this role might be eligible to participate in long term incentive plan and relocation.

This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA).

U.S. Export Control

This position requires the ability to access information subject to U.S. export control restrictions. Applicants must have the ability to access export-controlled information or be eligible to receive a government authorization to access export-controlled information.

Trade Secrets

By submitting an application, you [applicant] agree[s] not to disclose to Samsung, or induce Samsung to use, any confidential or proprietary information (including trade secrets) belonging to any current or previous employer or other person or entity.

#SARC #ACL

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