Samsung Semiconductor
Senior Staff Performance Engineer
San Jose, California, United States · Staff+
Sponsorship not specified$189k-$301kDetected 15 days ago
Node.jsDistributed SystemsMachine LearningPyTorchLLMsExcelRecruitingElectrical EngineeringResearchLeadershipCommunicationPublic Speaking
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 →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 35 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 55%
Of 20 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
- Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
- Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more.
- We believe innovation and growth are driven by an inclusive culture and a diverse workforce.
Responsibilities
- Build and operate AI environments that reflect production workloads, including agentic workflows, distributed inference, disaggregated serving architectures, and MoE deployments.
- We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support.
Requirements
- BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent industry experience.
- Required industry experience: 10+ years with a BS, 8+ years with an MS, or 5+ years with a PhD in performance engineering, AI systems, distributed systems, high-performance computing, or a related area.
- Experience characterizing agentic workflows, long-context processing, MoE models, or disaggregated inference deployments.
- Experience profiling and optimizing AI workloads on NVIDIA GPU platforms using Nsight Systems and Nsight Compute, with analysis informed by GPU execution, memory hierarchy, and communication mechanisms.
- Experience analyzing multi-node AI deployments, including synchronization overhead, load imbalance, communication patterns, and scaling behavior.
- Experience with AI frameworks or serving systems such as PyTorch, vLLM, SGLang, TensorRT-LLM, DeepSpeed, Ray, or Megatron-LM.
- BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent industry experience. Required industry experience: 10+ years with a BS, 8+ years with an MS, or 5+ years with a PhD in performance engineering, AI systems, distributed systems, high-performance computing, or a related area. Candidates with additional experience and a record of technical leadership across teams may be considered at the Senior Staff level.
- Ability to interpret workload traces, runtime telemetry, and performance data to identify bottlenecks and explain their underlying causes, including how workload characteristics interact with specific operations and mechanisms within software and hardware layers.
- Knowledge of the LLM software stack, including serving and scheduling, attention and KV-cache management, kernel launch and memory-transfer overhead, and collective communication, and how these interact with accelerator compute throughput, memory hierarchy, memory bandwidth, and interconnect topology.
Skills
- Advancing the World's Technology Together
- Please Note:
- Join us in our passion to shape the future of computing!
Compensation
- $189,000 - $301,000 USD
- Base Pay Range
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, caregiver support, and medical travel support.
- 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.
- Our onsite Café and gym, plus virtual classes, make it easier.
Company info
- What We Offer The pay range below is for all roles at this level across all US locations and functions.
- Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency.
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.
- All candidates scheduled for an interview will receive guidance on requesting accommodations.
Apply directly at Samsung Semiconductor →Create a free account for alerts like thisView Samsung Semiconductor immigration profile
This listing is sourced directly from Samsung Semiconductor's careers page and normalized into a canonical job model.