Staff Software Engineer AI/ML

Conductor; San Jose (CA); On-site; USD 163,000 - 253,000; Full time

Benefits offered by this job

4+ weeks of PTO

Paid holidays and sick leave

Fertility care or adoption stipend

Medical travel support

Onsite Café and gym

Job summary

Samsung Semiconductor seeks a Senior Staff Engineer to design and optimize the AI/ML design environment and large-scale compute infrastructure supporting its semiconductor design teams. You will standardize shared environments, drive productivity, and establish company-wide policies for licensing and R&D software with a focus on AI/ML workflows.

The role involves building agentic AI systems, evaluating models, and collaborating with researchers to deliver scalable AI solutions across internal

Qualifications

• Experience deploying and operating LLM- or vision-powered systems in production.
• Proven ability to define quality metrics and conduct A/B testing.
• Hands-on expertise with agentic AI frameworks and multi-agent orchestration.
• Experience with model inference optimization and hardware-aware deployment.
• Strong Python and C/C++ skills; experience with PyTorch/TensorFlow.
• Ability to work with researchers and integrate AI workloads.

Responsibilities

• Design, build, and productize agentic AI applications from prototype to deployment.
• Architect multi-agent systems and orchestrate tools and memory.
• Establish evaluation frameworks and metrics for AI systems.
• Optimize performance within compute and memory budgets.
• Collaborate with researchers and developers to advance AI workloads.

Skills

LLM deployment in prod

Agentic AI frameworks

Python and C/C++

PyTorch/TensorFlow

Distributed systems design

Education

BS/MS/PhD in CS/EE or related

Tools

LangGraph

CrewAI

ADK

TensorRT-LLM

vLLM

Job description

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. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

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. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

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
• 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. Paywithin this range varies by work locationand may also depend on job‑related knowledge, skills,and experience. We also offer incentive opportunities that reward employees based on individual and company performance.

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.

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.

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.

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/