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

Posted 2 Days Ago
3 Locations
In-Office or Remote
152K-242K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, develop, and optimize system software and firmware for SoC-based O-RAN infrastructure. Implement power-management policies (DVFS, clock/power gating, thermal control), analyze RU/DU workloads, build performance and power models, create measurement and test tooling, validate on simulation/emulation and silicon, and influence SoC and platform architectures for 5G/6G deployments.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a highly motivated Senior System Software Engineer to develop and improve system software for next-generation O-RAN infrastructure. You will work at the intersection of SoC architecture, cellular systems, firmware, operating systems, and radio-access-network workloads, helping deliver industry-leading performance and energy efficiency. This role focuses on software for 5G and emerging 6G infrastructure, including Radio Units (RUs), Distributed Units (DUs), and the interfaces connecting them. You will collaborate with hardware, architecture, platform, networking, and cellular-software teams throughout pre-silicon development, silicon bring-up, productization, and deployment.

What you’ll be doing:

  • 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • 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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 8, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or 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++.
  • Proficiency in Python or a comparable scripting language.
  • Strong understanding of computer architecture and hardware-software interaction (multicore systems, memory hierarchies, caches, interconnects, interrupts, DMA).
  • Experience with operating-system internals, Linux kernel development, device drivers, concurrency, virtual memory, and real-time/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.
  • Strong grasp of cellular infrastructure and radio-access-network architecture.
  • Knowledge of interface standards relevant to 5G/6G such as 3GPP NR interfaces and protocols, O-RAN Open Fronthaul, eCPRI, and synchronization/timing technologies.
  • Direct experience developing or optimizing software for an O-RAN Radio Unit (RU) or Distributed Unit (DU).
  • Experience with O-RAN Alliance specifications (Open Fronthaul control, user, synchronization, 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.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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