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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Engineer, Post-Silicon GPU Power & Performance - **Company:** Samsung - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $180,200.0 - $270,400.0 - **Contract:** Permanent contract - **Skills:** Board Bringup, Data Analysis, C++ (Programming Language), Databases, Software Debugging, Linux, Python (Programming Language), Shell Script, SQL Databases, Information Technology - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=69caa478cce31302 ## About the Role * 11+ years of experience with a Bachelor's Degree in Computer Science/Engineering, or 9+ years of experience with a Master's Degree, or 7+ years of experience with a Ph.D. * 11+ years of hands-on experience in post-silicon power/performance analysis, validation, or system-level debug in GPU, CPU, or complex SoC environments. * Deep understanding of system-level architecture, including GPU/CPU subsystems, and power and performance measurement methodologies. * Hands-on lab experience with board bring-up, schematics, scopes, debuggers, and data acquisition tools. * Strong experience with performance analysis tools and familiarity with industry-standard GPU/CPU benchmarks and workloads. * Strong programming and scripting skills in Python, C/C++, shell scripting, and experience with SQL/databases. * Experience with Linux and Android systems, with familiarity in kernel-level debugging or development. * Experience with leading complex technical initiatives, driving process and methodology innovation, and mentoring engineers. * Excellent collaboration and communication skills, with the ability to navigate ambiguity and influence in a fast-paced, global environment., This position requires the ability to access information subject to U.S. export control restrictions. Applicants must have the ability to access export-controlled information or be eligible to receive a government authorization to access export-controlled information. ## Description In this high-impact individual contributor role, you will drive silicon bring-up, workload analysis, and data-driven insights across real-world use cases, partnering closely with architecture, software, and validation teams to ensure optimal performance and energy efficiency. You bring deep expertise in post-silicon validation, system-level analysis, and automation to enable scalable measurement infrastructure and accelerate debug and product readiness. * Leveraging your expertise in post-silicon validation, you characterize GPU power, performance, and leakage across diverse benchmarks and real-world workloads, delivering actionable insights to guide optimizations. * You advance cross-functional collaboration with architecture and software teams to support measurement requests, correlate silicon data with pre-silicon models, and ensure alignment across power, performance, and system-level expectations. * You drive automation and infrastructure development for power and performance data collection, analysis, and workload enablement, improving scalability, consistency, and engineering efficiency. * You lead silicon bring-up and debug activities, including board-level hardware/software enablement and root-cause analysis of issues impacting measurement accuracy, stability, and performance. * You inspire high performance by leading complex technical investigations, mentoring engineers, and advancing methodologies and tools by staying ahead of emerging GPU technologies, workloads, and performance analysis techniques. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [MCP doesn’t suck — your agent does](https://www.wearedevelopers.com/videos/100202-mcp-doesn-t-suck-your-agent-does) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/1521-accelerating-python-on-gpus) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) ## Related Articles - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [Frontend Developer Salary in South Africa](https://www.wearedevelopers.com/magazine/234-frontend-developer-salary-in-south-africa) - [Software Engineer Career: Things You Should Know](https://www.wearedevelopers.com/magazine/143-software-engineer-career-things-you-should-know)