Software Engineering (1)

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Advancing the World’s Technology Together

About the Role

We are seeking a Senior Staff Engineer to build and optimize the EDA design environment and large-scale compute infrastructure that supports our semiconductor design organizations, and to establish company-wide standards and processes for EDA licensing and R&D software. In this role, you will design and standardize the shared design environments and infrastructure used across multiple design organizations, driving engineering productivity and cost efficiency at scale.

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. The Applied AI Engineering team is the driving force behind this vision, leading innovation at the intersection of machine learning and system engineering to develop and operate our next-generation AI frameworks. 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. We are actively seeking talented Machine Learning Engineers specializing in building next-generation AI/ML solutions.

What You’ll Do

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.
Architect multi-agent systems using frameworks such as LangGraph, LangChain, AutoGen, or CrewAI, including agent orchestration, tool and function routing, state and memory management, error recovery, and human-in-the-loop workflows.
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; profile workloads to identify and eliminate bottlenecks.
Identify and solve multi-discipline AI acceleration problems, especially with memory bottlenecks, involving algorithms, network design, hardware architecture
Work with researchers and application developers to enable the latest machine learning work to optimize performance.

What You Bring

BS with 10+ years, MS with 8+ years, or PhD with 5+ years of experience in Computer Science, Electrical Engineering, or a related field
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
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
Strong Python and C/C++ skills with deep experience in PyTorch/TensorFlow, and experience designing, building, and securing large-scale distributed systems

Preferred Qualification

PhD of software engineering experience
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
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

#LI-VL1

What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.

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. An investment in your future is an investment in ours.

Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
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.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
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.

Base Pay Range

$163,000—$253,000 USD

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. All candidates scheduled for an interview will receive guidance on requesting accommodations.

Our Commitment to Innovation and Fairness

At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.

Recruiting Agency Policy

We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.

Applicant AI Use Policy

At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified.

Trade Secret Notice

By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/

Base Pay Range 163000 - 253000 USD

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