Senior System Software Engineer, SoC Power and Performance - O-RAN Infrastructure

NVIDIA is a technology company developing accelerated computing and AI technologies. The company is seeking a Senior System Software Engineer to develop and optimize system software and firmware for SoCs supporting next-generation O-RAN and cellular infrastructure, with a focus on power efficiency and performance. The role involves workload analysis, power-management development, performance modeling, validation, and collaboration across hardware, architecture, networking, and cellular-software teams.

Responsibilities:

• Design, develop, test, and optimize system software and firmware for SoCs used in O-RAN and cellular infrastructure
• Develop power-management policies and performance optimizations across CPU, GPU, accelerator, memory, interconnect, I/O, and networking subsystems
• Analyze representative RU and DU workloads to identify architectural and system-level bottlenecks, including compute, memory bandwidth, latency, synchronization, and data-movement constraints
• Develop and tune power-management capabilities such as dynamic voltage and frequency scaling, clock and power gating, idle-state management, thermal controls, and system-level power budgeting
• Create performance and power models, measurement tools, benchmarks, and automated test infrastructure for both pre-silicon and post-silicon environments
• Use simulation, emulation, prototyping, and production silicon to validate architectural decisions and identify power and performance issues
• Evaluate system behavior against O-RAN and cellular-interface requirements, including timing, synchronization, latency, throughput, and reliability
• Influence future SoC, platform, and cellular-software architectures based on workload analysis and measurements from deployed systems

Requirements:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience
• 5+ years of relevant experience in system software, embedded software, firmware, computer architecture, cellular infrastructure, or performance engineering
• Demonstrated experience developing and debugging software for complex SoCs or embedded platforms
• Strong programming skills in C or C++, along with proficiency in Python or a comparable scripting language
• Strong understanding of computer architecture and hardware-software interaction, including multicore systems, memory hierarchies, caches, interconnects, interrupts, memory-mapped I/O, and DMA
• Experience with operating-system internals, Linux kernel development, device drivers, concurrency, virtual memory, and real-time or latency-sensitive programming
• Hands-on expertise in performance measurement, workload characterization, data analysis, bottleneck identification, and system optimization
• Working knowledge of SoC power-management concepts, including DVFS, clock and power gating, thermal management, and power/performance budgeting
• A strong grasp of cellular infrastructure and radio-access-network architecture is expected
• Required knowledge of interface standards relevant to 5G and the evolution toward 6G, such as 3GPP NR interfaces and protocols, O-RAN Open Fronthaul, eCPRI, synchronization and timing technologies, or comparable standards
• Direct experience developing or optimizing software for an O-RAN Radio Unit, Distributed Unit, or both
• Experience with O-RAN Alliance specifications, including Open Fronthaul control, user, synchronization, and management-plane behavior
• Familiarity with DPDK, accelerated networking, zero-copy data paths, SR-IOV, RDMA, SmartNICs, DPUs, GPUs, or dedicated baseband accelerators
• Experience analyzing real-time cellular workloads and optimizing tail latency, jitter, memory bandwidth, cache behavior, and end-to-end performance per watt
• Experience developing profiling, telemetry, benchmarking, or automated regression tools for power and performance