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Staff Engineer, ML Profiling Tools

Samsung Semiconductor · San Jose, CA · $163K to $253K

$163K to $253K

Found in last night's run on Samsung Semiconductor's Greenhouse board.

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. 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.

#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, caregiver support, and medical travel support. Prioritize Emotional Wellness With on-demand apps and free confidential therapy session

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