below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$169,550–$229,450
— the blue band above.
At the midpoint, this role pays about
$352k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Principal Systems Software Engineer, LPU joins the LPX System Software team to build foundational software for a novel deterministic compute architecture. This role involves shifting complexity from silicon into software by designing hardware abstraction layers, core system libraries, drivers, and runtime components. You will own API contracts, design data-movement pipelines, and lead platform bring-up for new boards and silicon. Key responsibilities include driving root-cause analysis for complex reliability failures and establishing agent-assisted engineering practices. The role requires deep expertise in Rust for low-level work, including firmware, boot flows, RTOS, and Linux drivers. You must demonstrate proficiency in managing multi-repository codebases, ABI compatibility, and distributed systems. The work focuses on creating a stable platform for production-scale workloads while ensuring memory safety and long-lived API stability.
Shape the architecture of hardware abstraction layers, core system libraries, and API contracts.
Design and implement drivers, runtimes, and data movement pipelines for novel silicon.
Build runtime interfaces for launching, monitoring, and managing workloads at production scale.
Lead triage and root-cause analysis for complex sequencing, initialization, and cross-component runtime failures.
Lead new platform bring-up and NPI for new boards and silicon in partnership with hardware teams.
Establish agent-assisted engineering practices and reusable abstractions to increase team throughput.
Communicate architecture and design tradeoffs clearly in writing and diagrams to various audiences.
What we're looking for
MS in CS, CE, EE, or a related STEM field, or equivalent experience.
12+ years of experience building production system software.
Deep systems-programming expertise with Rust as the primary language for low-level work.
Experience shipping production Rust at the hardware or kernel boundary, such as drivers, firmware, or runtimes.
Track record of designing and evolving libraries and APIs with ABI and compatibility discipline.
Experience with firmware, boot flows, RTOS, BMCs/MCUs, RISC-V, or Linux driver/kernel-adjacent subsystems.
Experience building with AI coding agents to ship code and raise leverage.
Experience building Rust system software at hyperscaler scale (preferred); experience with distributed systems, gRPC, or inference systems (preferred).