
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 5 minutes ago
🏄 California, Colorado – Remote
💵 $152k - $241.5k / year
⏰ Full Time
🟠 Senior
👷 Infrastructure Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• 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 compute, memory bandwidth, latency, synchronization, and data-movement bottlenecks • Develop and tune DVFS, 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 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 for timing, synchronization, latency, throughput, and reliability • Influence future SoC, platform, and cellular-software architectures using workload analysis and measurements from deployed systems • Collaborate with hardware, architecture, platform, networking, and cellular-software teams throughout pre-silicon development, silicon bring-up, productization, and deployment
• 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 • Experience developing and debugging software for complex SoCs or embedded platforms • Strong programming skills in C or C++, plus Python or a comparable scripting language • 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 • 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 • Strong grasp of cellular infrastructure and radio-access-network architecture • Knowledge of 5G/6G interface standards, including 3GPP NR interfaces and protocols, O-RAN Open Fronthaul, eCPRI, and synchronization/timing technologies • Direct O-RAN Radio Unit or Distributed Unit experience preferred as a differentiator • Familiarity with DPDK, accelerated networking, zero-copy data paths, SR-IOV, RDMA, SmartNICs, DPUs, GPUs, or baseband accelerators is advantageous
• Equity • Comprehensive benefits package • Competitive salary • Benefits for employees and family • Inclusive work environment • Equal opportunity employment
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