Senior Staff Engineer, GPU Architect, Machine Learning

Samsung
San Jose
Workplace: OnsiteFull timeUSD 198,200 - 297,200 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Analytical thinking","Problem-solving","Communication","Collaboration"]

Lead the design and development of ML-focused features for Samsung’s premium mobile GPUs. As a high-impact individual contributor, you’ll drive architectural innovation at the intersection of GPU hardware and machine learning, analyzing workloads and defining new GPU capabilities to improve performance, power efficiency, and scalability for next-generation AI models. Collaborate across hardware, software, and research teams to translate ML insights into production-ready GPU architectures and influence the long-term AI roadmap.

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FursaFursa
Samsung
Samsung
1 month ago

Senior Staff Engineer, GPU Architect, Machine Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 days agoStatus: Live

Job Summary

Lead the design and development of ML-focused features for Samsung’s premium mobile GPUs. As a high-impact individual contributor, you’ll drive architectural innovation at the intersection of GPU hardware and machine learning, analyzing workloads and defining new GPU capabilities to improve performance, power efficiency, and scalability for next-generation AI models. Collaborate across hardware, software, and research teams to translate ML insights into production-ready GPU architectures and influence the long-term AI roadmap.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect and define ML-driven hardware features and extensions that integrate with the graphics pipeline for AI workloads.
  • •Analyze and model ML workloads (including LLMs, LVMs, and image classification) to uncover bottlenecks and guide architectural trade-offs that maximize performance and power efficiency.
  • •Improve middleware and hardware-software integration to optimize GPU architectures for ML workloads.
  • •Drive cross-functional collaboration with GPU architects, RTL and software engineers, and research teams to deliver production-ready GPU designs.
  • •Initiate and advance moderate-to-complex projects while staying ahead of industry trends and emerging technologies to strengthen best practices and methodologies.

Pay and Benefits

Salary: USD 198,200 - 297,200 annually
Perks:Health InsuranceDentalVisionLife Insurance401kMeal AllowanceEmployee PurchaseTuition AssistancePaid LeaveStudent LoansWellness Stipend

Key Requirements

  • •11+ years of experience with a Bachelor’s degree, or 9+ years with a Master’s degree, or 7+ years with a PhD.
  • •Knowledge of machine learning principles and architectures.
  • •Knowledge of computer architectures and performance optimization, including experience with GPU architecture and the graphics pipeline.
  • •Experience analyzing and modeling representative ML workloads to identify bottlenecks and optimization opportunities.
  • •Strong programming skills in C++ and Python, with familiarity with ML frameworks and tools such as TensorFlow and PyTorch.
Experience:7+ yearsMachine learningComputer visionGPU architectureHigh-performance computingAI models
Education:
Skills:Analytical thinkingProblem-solvingCommunicationCollaboration
Tech Stack:C++PythonTensorFlowPyTorchLLMsLVMsImage classificationGPU architectureGraphics pipelineRay tracingAR/VRRTL

Company Brief

Samsung
Global conglomerate known for consumer electronics, home appliances, semiconductors, displays, and mobile devices. Designs and manufactures a wide range of products and solutions for consumers, enterprises, and industrial customers worldwide.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Seoul, South Korea
Founded: 1938
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn