Senior Software Engineer - SOC Platforms

Details

NVIDIA is seeking a Senior GPU Platforms Engineer to join a team working on GPU and SOC systems and platform software for accelerated computing. The role involves developing platform software, observability systems, production applications, and system-level features for NVIDIA SOC products.

Responsibilities

• Own platform software, including kernel device drivers, firmware and BIOS interactions, health monitoring, and system-level features for new GPU and SOC platforms.
• Design and develop high-performance, distributed observability platforms handling high-volume metrics, logs, and traces.
• Build real-time monitoring, logging, alerting, backend pipelines, and analytics platforms optimized for performance at scale.
• Develop production applications, solutions, and features for NVIDIA SOC products.
• Partner with software, driver, product, data center, and cloud teams to launch new GPU platforms, resolve complex system challenges, and improve performance, features, and stability.
• Participate in code reviews and contribute to substantial production codebases using C/C++ and data pipeline and business intelligence skills.
• Understand how AI workloads map onto NVIDIA architectures, including streaming multiprocessors, Tensor Cores, memory hierarchy, NVLink, PCIe, and MIG, and how these features affect latency, throughput, and cost.
• Develop and maintain expertise in operating systems and system software, including Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling.
• Apply operating systems and computer architecture expertise to CPU-GPU interactions, PCIe, memory hierarchy, interrupts, and firmware or bootloaders.

Requirements

• BS, MS, PhD, or equivalent experience in Computer Science or a related field.
• Multiple years of experience in systems, platform, embedded, or GPU software roles.
• At least 10 years of experience developing SOC systems and platform software.
• Strong hands-on experience with Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling.
• Experience building modern observability architectures involving metrics, logs, traces, distributed systems, business intelligence, and analytics stacks.
• Proficiency developing high-performance, secure production software and backend systems.
• Strong understanding of advanced operating systems, databases, computer architecture, and distributed systems.
• Experience developing AI/ML applications and integrating them with various features and applications.
• Proven ability to design scalable and secure product solutions.

Preferred Qualifications

• Experience programming and debugging SOC platforms across x86 and ARM architectures.
• In-depth knowledge of Linux and/or Windows, networking, and virtualization.
• Demonstrated proficiency in C/C++, extensive production codebases, and code reviews.

Benefits

NVIDIA offers competitive salaries, equity, and a comprehensive benefits package. Applications will be accepted at least until October 5, 2026.