À propos de ce poste Staff Engineer, ML Profiling Tools chez Samsung Semiconductor
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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.
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Develop and maintain highly interactive, large-scale and complex web-based visual analytics tools on AI/ML workloads.
- Build interactive data visualization (flame graphs, call trees, timeline charts) capable of fluidly rendering massive, multi-dimensional infrastructure telemetry datasets.
- Partner closely with compiler engineers and hardware architects to translate highly complex performance profiling metrics into clear, intuitive developer workflows.
- Analyze and optimize the developer experience for machine learning performance profiling, designing intuitive tooling and workflows to help engineers diagnose and eliminate inference bottlenecks.
- Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget.
- Complete other responsibilities as assigned.
What You Bring
- Bachelor's with 10+ years, or Master's with 8+ years, or PhD's with 5+ years of industry experience.
- Abundant experience designing and implementing rich, interactive data visualizations and user interfaces using modern web technologies.
- Strong background or interest in creating developer tools, IDE extensions, or complex diagnostic dashboards.
- Proven ability to translate massive, unstructured, or multidimensional telemetry/profiling data into intuitive, human-readable visual representations.
- Strong track record of designing workflows specifically for technical users (software engineers, data scientists, or researchers), focusing on minimizing cognitive load and streamlining root-cause diagnosis.
- Hands-on experience with, or a strong curiosity about, systems profiling and tracing tools (e.g., Perfetto, Chrome Tracing, NVIDIA Nsight Systems/Compute, PyTorch Profiler, TensorBoard, eBPF).
- Baseline understanding of computing architectures (CPUs, GPUs, TPUs, interconnects/networking) and typical performance bottlenecks (memory bandwidth, compute utilization, synchronization stalls).
- Bonus: Working knowledge of modern machine learning frameworks (e.g., PyTorch, JAX, TensorFlow) and execution paradigms (LLM inference, pipeline/tensor parallelism, kernel dispatch).
- Excellent problem-solving skills and ability to think critically and creatively.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
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.
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/
