Samsung Semiconductor

Samsung Semiconductor

Staff Software Engineer AI/ML

San Jose, California, United States · Staff+

Sponsorship not specified$163k-$253kDetected 3 days ago
PythonC++CDistributed SystemsAlgorithmsMachine LearningTensorFlowPyTorchComputer VisionLLMsAgentic AIMLOpsLangGraphAI OrchestrationA/B TestingExcelRecruitingElectrical EngineeringResearch

Stay score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level III · 3×
Level I$102,9601 entry
Level II$129,9382 entries
Level III$156,8943 entries
Level IV$183,8724 entries

$20,872 more — $183,872 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $183,872 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer Systems Analysts" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Computer Systems Analysts (15-1211) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card intent detected

Samsung Semiconductor, Inc. obtained a prevailing wage determination for Electrical Engineers in San Jose, CALIFORNIA on 2026-06-09. No matching green-card filing appears in our data yet. The determination expires in 1 day (2026-09-06), and a green-card filing must follow before then or the employer starts over.+1 more active determination on file

Green-card follow-through: 44%

Of 16 labor certifications old enough to have been used, 9 expired without the employer filing the next step. Median time from filing to decision: 496 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

126 transfer filings in the last year, covering 435 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • AI/PI Group is an internal AI and Process Innovation organization within Samsung DSA, dedicated to transforming how our company works through artificial intelligence.
  • We accelerate AI adoption across the entire organization - from reshaping day-to-day workflows and automating core internal processes to empowering our workforce with practical, intelligent tools.
  • We aim to enable frontier AI models to autonomously plan, retrieve information, coordinate with tools, and execute multi-step workflows across our internal knowledge ecosystem.

Responsibilities

  • Establish evaluation frameworks and quality bars for agentic and multimodal systems: define reference and non-reference metrics, build benchmark suites and regression harnesses, and instrument agent trajectories for offline and online evaluation.
  • Drive quality, cost, and latency trade-off decisions with data - selecting models, routing strategies, and inference configurations that meet product requirements within compute and memory budgets.
  • Optimize inference performance on accelerated hardware through quantization, batching, caching, kernel- and runtime-level tuning, and model/hardware co-design
  • Identify and solve multi-discipline AI acceleration problems, especially with memory bottlenecks, involving algorithms, network design, hardware architecture

Requirements

  • BS with 10+ years, MS with 8+ years, or PhD with 5+ years of experience in Computer Science, Electrical Engineering, or a related field
  • Hands-on expertise with agentic AI frameworks (LangGraph, CrewAI, ADK) - multi-agent orchestration and patterns, tool routing, state management, and/or interoperability protocols (MCP, A2A)
  • Experience with LLM inference optimization and serving (e.g., vLLM, TensorRT-LLM), covering quantization, KV-cache management, and hardware-aware deployment
  • PhD of software engineering experience
  • Familiarity with state-of-the-art AI workloads and their compute and memory requirements
  • Experience with performance modeling of heterogenous systems is beneficial
  • Ability to meet aggressive project deadlines in a team environment
  • Demonstrated track record of deploying and operating LLM- or vision-powered systems in production, with proven experience in evaluation and safe rollout practices (A/B testing, canary releases, offline/online evaluation) - including defining quality metrics, benchmarking models, and driving quality/cost/latency trade-off decisions
  • Strong Python and C/C++ skills with deep experience in PyTorch/TensorFlow, and experience designing, building, and securing large-scale distributed systems
  • Preferred Qualification
  • MLOps exposure: prompt/version management, monitoring, observability
  • Experience with ML, graphics or computer vision accelerator
  • Understanding of PPA (performance, power, and area) trade-offs, memory controller architecture and/or general computer architecture is beneficial
  • What We Offer

Skills

  • Advancing the World's Technology Together

Compensation

  • $163,000 - $253,000 USD

Benefits

  • 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.
  • 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.
  • 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.
  • Design, build, and productize agentic AI applications that combine vision and language models - owning the architecture end-to-end from prototype through deployment and ongoing operation.
  • Work with researchers and application developers to enable the latest machine learning work to optimize performance.
  • Our onsite Café and gym, plus virtual classes, make it easier.

Company info

  • Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency.
  • We are actively seeking talented Machine Learning Engineers specializing in building next-generation AI/ML solutions.

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.
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This listing is sourced directly from Samsung Semiconductor's careers page and normalized into a canonical job model.