NVIDIA is seeking a highly motivated Senior System Software Engineer to develop and enhance system software for next-generation O-RAN infrastructure. This role involves working at the intersection of SoC architecture, cellular systems, and firmware to deliver high performance and energy efficiency for 5G and emerging 6G infrastructure. The engineer will collaborate with various teams throughout the development and deployment phases. This position offers an opportunity to make a significant impact in the field of advanced computing and telecommunications.

• 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.

• 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.
• Develop and tune power-management capabilities such as dynamic voltage and frequency scaling, clock and power gating, and thermal controls.
• 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.
• Influence future SoC, platform, and cellular-software architectures based on workload analysis and measurements from deployed systems.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.