What we need to see: B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field. 5+ years of software engineering experience, preferably in system software, infrastructure, validation, or performance-focused environments. Strong programming skills in Python and at least one system-level language such as C/C++. Experience developing automation and test infrastructure for complex hardware/software systems. Hands-on experience running, debugging, or optimizing AI, HPC, or large-scale system workloads. Good understanding of system-level architecture, including interactions across hardware, firmware, drivers, operating systems, and application layers Experience working in Linux environments and with scripting, telemetry, logging, and data analysis tools. Strong debugging and problem-solving skills, with the ability to work across multiple engineering disciplines. Good communication skills and the ability to drive technical work in a fast-paced, cross-functional environment. Ways to stand out from the crowd: Experience with NVIDIA platforms, GPU systems, or rack-scale AI infrastructure. Background in power, thermal, performance, or storage/drive characterization. Experience with workload automation, cluster orchestration, or lab infrastructure. Familiarity with AI benchmarks, training/inference workloads, and system stress methodologies. Experience in post-silicon validation, production testing, or system bring-up.
