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Staff Systems and Platforms Software Engineer
d-Matrix · Santa Clara · Sydney
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What d-Matrix asks for
From d-Matrix's Staff Systems and Platforms Software Engineer ad, checked 4 Nov 2026.
Linux systems and device drivers
At least 5 years of experience with Linux system-level programming and strong knowledge of developing Linux device drivers.
C or C++ systems programming
Professional experience writing systems-level code in C or C++, including low-level drivers and software that runs on multi-core CPU subsystems.
Containers and VMs
Practical experience working with containerization and virtual machine technologies in a production or development environment.
Distributed systems for AI
Designing and implementing distributed, scale-out systems software specifically for AI inference infrastructure.
GPU compute and Python
Experience using Python and a technical understanding of how GPU accelerator compute stacks function.
How the example answers the ad
Three of the five requirements above, each matched to a line in the example.
C or C++ systems programming
“Refactored memory allocation strategies in C++ to reduce PCIe bus contention by 30% under heavy load.”
Using C++ to refactor memory allocation strategies for PCIe bus performance demonstrates systems programming for hardware communication.
Containers and VMs
“Architected a container orchestration shim that increased GPU utilization by 22% for distributed inference tasks.”
Architecting a container orchestration shim for GPU tasks shows the required practical experience with containerization technologies.
GPU compute and Python
“Implemented low-level telemetry agents in Python to track real-time hardware performance metrics across 5,000 nodes.”
Tracking real-time hardware metrics across a 5,000 node cluster using Python shows the required technical understanding of GPU compute stacks.
The whole example as text
Michael Harris · Staff Systems Software Engineer
Summary
Staff Systems Software Engineer with 10 years of experience in high-performance computing and silicon-level orchestration. Architected runtime drivers for multi-core ARM systems to accelerate AI inference pipelines at scale. Deployed containerized environments that reduced deployment latency by 40% across distributed GPU clusters. Optimized low-level C++ kernel code to achieve a 25% throughput increase in production AI workloads.
Experience
Staff Systems Software Engineer · NVIDIA
Santa Clara, CA · 2023 - Present
- Directed the development of high-performance user-mode drivers for next-generation data center AI accelerators.
- Refactored memory allocation strategies in C++ to reduce PCIe bus contention by 30% under heavy load.
- Architected a container orchestration shim that increased GPU utilization by 22% for distributed inference tasks.
- Implemented low-level telemetry agents in Python to track real-time hardware performance metrics across 5,000 nodes.
- Mentored five senior engineers on kernel-space security and memory safety protocols for proprietary hardware.
Senior Software Engineer · Intel
Santa Clara, CA · 2020 - 2022
- Developed custom Linux kernel modules to enable native support for specialized AI compute blocks on server CPUs.
- Reduced system boot times by 45% through optimization of asynchronous kernel initialization sequences.
- Designed a distributed verification framework using Python to validate hardware-software interface consistency.
- Coordinated with silicon engineering teams to debug and resolve complex race conditions in multi-threaded firmware.
- Documented technical specifications for internal APIs that facilitated cross-team integration of AI compute stacks.
Software Engineer · ARM
San Jose, CA · 2018 - 2020
- Maintained and improved core Linux device drivers for mobile-first SoC architectures, supporting millions of devices.
- Optimized power consumption metrics by 15% through precision C-language thread management.
- Built automated testing suites in Python to verify hardware abstraction layer stability across multiple kernel versions.
- Debugged critical stability issues within the interrupt handling subsystem of multi-core ARM chips.
- Contributed to upstream Linux kernel patches for improving memory management unit interaction.
Junior Embedded Engineer · Qualcomm
San Diego, CA · 2016 - 2018
- Authored low-level C code for peripheral drivers, reducing task latency by 12% in real-time sensor processing.
- Assisted in the integration of containerized test environments for firmware development workflows.
- Analyzed system logs and performance data to identify bottlenecks in embedded bootloaders.
- Collaborated with QA teams to execute stress tests on proprietary hardware development boards.
- Refactored existing test scripts into modular Python modules to improve code reusability.
Education
Master of Science in Electrical and Computer Engineering · Stanford University
Stanford, CA · 2014 - 2016
- Completed thesis on low-latency memory management in heterogeneous computing architectures.
- Graduated with 3.9 GPA and recognized as an Engineering Honors Fellow.
- Led a capstone research project on optimizing Linux kernel scheduling for real-time AI applications.
Bachelor of Science in Computer Science · University of California, Berkeley
Berkeley, CA · 2010 - 2014
- Earned Dean's List honors for four consecutive semesters.
- Collaborated on an open-source driver development project for embedded ARM processors.
- Served as a teaching assistant for Advanced Operating Systems and Systems Programming courses.
Skills
Frequently asked questions
Is the example from an employee?
No. It is an AI-written example for this ad, made to show how a resume can answer it.
Is this role remote?
No. The role is hybrid, requiring you to work onsite at the Santa Clara, CA, headquarters 3 days per week.
What level of experience is required?
The ad requires at least 5 years of industry experience in embedded software development.
Where do I apply?
On the official d-Matrix posting, through the job link on this page.
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