Staff Systems and Platforms Software Engineer at d-Matrix in Santa Clara
- Company: d-Matrix
- Location: Santa Clara
- Posted: Sep 24, 2026
- Type: Full-time
- Experience: 5+ years
Overview
Application At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
Job description
- Application
- At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
- We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
- Location:
- Hybrid, working onsite at our Santa Clara, CA, headquarters 3 days per week.
- d-Matrix is building an in-memory compute platform for AI inference in the datacenter, and this role owns the runtime software that makes that silicon perform. As a Staff Systems and Platforms Software Engineer, you'll architect and develop the runtime, low-level drivers, and systems software that run across the multi-core CPU subsystems inside our SoC and the systems that host it. You'll be the primary owner of runtime performance for the silicon product, setting delivery schedules, upholding d-Matrix's coding and methodology standards, and making the architectural calls that determine how fast and reliably our chips run in production. You'll work closely with the hardware team, hardware verification, and the rest of software engineering to get there.
Responsibilities
- Architect, document, and develop runtime software that executes across the SoC's multi-core CPU subsystems.
- Own end-to-end runtime performance of the silicon product.
- Design and develop low-level drivers and systems software for the platforms that host the SoC.
- Design, implement, and develop distributed, scale-out systems software for AI inference infrastructure.
- Set delivery schedules and ensure software meets d-Matrix coding and methodology guidelines.
- Identify, analyze, and debug complex systems-level software issues.
- Deliver production-quality code across the runtime and driver stack.
- Collaborate with the hardware team, hardware verification team, and other software engineers throughout development.
Requirements
- Bachelor's degree in computer engineering, electrical engineering, or a related field, with a minimum of 5 years of industry experience in embedded software development.
- Hands-on experience with Linux system-level programming.
- Strong knowledge of Linux device drivers.
- Hands-on systems programming experience in C or C++.
- Experience working with containers and VMs.
- Strong operating systems fundamentals.
- Excellent written and verbal communication skills.
- Experience with Python.
- Understanding of the GPU accelerator compute stack.
Skills
Required
- Linux system-level programming
- Linux device drivers
- C or C++ systems programming
- Containers and VMs
- Operating systems fundamentals
Preferred
- Python
- GPU accelerator compute stack