Principal Systems Software Engineer, LPU
$272k - $431k • Remote • US, CA, Santa Clara
Posted 1d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
NVIDIA's LPX System Software team is seeking a Principal Software Engineer to build foundational software for a novel deterministic compute architecture. This role involves developing hardware abstraction layers, core system libraries, drivers, and runtime components, with a strong emphasis on memory safety and API stability using Rust. The position requires setting technical direction, shaping architecture, and driving complex reliability and bring-up challenges. A key aspect of this role involves leveraging AI coding agents as a primary workflow tool, requiring senior engineers to be adept at directing them and designing systems that are legible to both humans and AI.
Responsibilities
- Shape the architecture of hardware abstraction layers and core system libraries, owning API contracts.
- Design and implement drivers, runtimes, and data movement pipelines for novel silicon.
- Build runtime interfaces for launching, monitoring, and managing workloads at scale.
- Lead triage of difficult runtime failures and produce root-cause analyses.
- Partner with hardware engineering, compiler teams, and operations for new platform bring-up.
- Establish agent-assisted engineering practices, abstractions, and tooling to improve team velocity.
- Communicate architecture and design tradeoffs clearly to diverse audiences.
Requirements
- MS in CS, CE, EE, or related STEM field, or equivalent experience, with 12+ years of production system software development.
- Deep systems-programming expertise in Rust, with experience shipping production Rust at the hardware or kernel boundary.
- Proven track record of designing and evolving long-lived libraries and APIs with ABI and compatibility discipline.
- Fluency in managing large, multi-repository codebases with layered dependencies.
- Demonstrated leadership in driving difficult reliability issue triage to clear root-cause analysis.
- Low-level platform experience including firmware, boot flows, RTOS, BMCs/MCUs, RISC-V, or similar.
- Linux driver or kernel-adjacent experience (e.g., VFIO).
- Experience with hardware bring-up and system triage, including fault analysis and diagnostics in lab environments.
- Established habit of using AI coding agents for development and leverage.
Benefits
- Equity
- Benefits