Senior Staff Engineer - AI Workloads & Storage
Samsung Semiconductor · San Jose, California, United States
Posted about 2 months ago
or apply directly on Samsung Semiconductor's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 56 days Samsung Semiconductor's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- No 0% of Samsung Semiconductor's roles list one
- Ghost-job risk at Samsung Semiconductor
- high 66 stale, 1 reposted of 69 open
- Hiring momentum
- 93 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Samsung Semiconductor's own greenhouse board since 2026-08-03. Full hiring picture for Samsung Semiconductor.
About this role
As a Senior Staff Engineer focusing on AI workloads and storage, you will lead the characterization of AI workloads, translating insights into architectural decisions for storage systems. Your role involves collaborating with customers to develop SSD capabilities for AI, conducting performance analyses, and engaging with industry standards to shape future developments. You will also mentor engineers and set technical direction across teams, ensuring optimal data placement and system performance.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Samsung Semiconductor as an employer.
What you need
- Bachelor's degree and 15+ years relevant industry experience or Master's degree and 13+ years’ experience or PhD with 10+ years relevant industry experience
- Extensive experience (typically 10–15+ years) in systems, storage, or ML-systems software
- Demonstrated technical leadership and cross-team influence
- Working knowledge of modern AI inference, especially transformer architectures
- Deep systems-level understanding of the Linux storage stack and NAND/SSD internals
- Fluency in Python plus a systems language (C/C++, Rust, or Go)
Nice to have
- Hands-on experience with the modern inference stack: vLLM, SGLang, LMCache, NVIDIA Dynamo, TensorRT-LLM, or Triton
- Familiarity with GPU-adjacent data movement and memory frameworks
- Understanding of GPU and TPU architecture
- Experience with user-mode storage access frameworks
- SSD firmware experience
What you get
- Medical/Dental/Vision/401k
- 4+ weeks of paid time off a year
- Charitable giving match
- Stipend for fertility care or adoption
- Medical travel support
- Virtual vet care
Worth weighing
- No specific mention of team size or structure
- Role involves significant hands-on technical leadership, which may require deep involvement in multiple areas
- The role is highly specialized, focusing on AI workloads and storage, which may limit broader software engineering experience
Summarised from Samsung Semiconductor's posting. Read the full original.
Listed by Samsung Semiconductor on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
More roles at Samsung Semiconductor
- Manager, People Analytics & Workforce IntelligenceSan Jose, California, United States
- Senior Staff Engineer, Design VerificationSan Jose, California, United States
- Staff Engineer, Memory Systems ArchitectureSan Jose, California, United States
- Staff Engineer, High-Speed I/O Analog-Mixed CircuitSan Jose, California, United States
- Senior Manager, Memory SalesSan Jose, California, United States
- Senior Manager, Memory SalesWashington
- Director Federal Government RelationsWashington, District of Columbia, United States
- Director, Foundry Customer EngineeringSan Jose, California, United States