Staff Software Engineer, Raxium Display Test
Raxium • Fremont, California, United States
-
Role & seniority
-
Senior/Staff-level (8+ years) engineering role focused on distributed test infrastructure for hardware-software integration
-
Requires in-person interviews in most cases
-
-
Stack / tools (from requirements)
-
Languages/tech: C++ (preferred), Python (preferred with compiled binaries/vendor SDKs)
-
Concurrency: multi-threading, asynchronous systems architectures
-
Networking/protocols: TCP/IP, RPC (or similar)
-
OS / systems: Linux OS internals, process management, low-level I/O, cross-platform IPC
-
CI/CD & build automation: CI/CD pipelines, cross-platform build servers, deployment automation (preferred)
-
Hardware SDK interfacing: abstraction layers, drivers/wrappers over third-party instrument SDKs/APIs (preferred)
-
GPU/compute workflows: GPU compute (preferred)
-
-
Top 3 responsibilities
-
Design and implement distributed, cross-platform, automated test infrastructures for hardware-software integration
-
Develop concurrent/asynchronous systems to support test execution and data streaming
-
Implement communication and integration using standard protocols (TCP/IP/RPC) and Linux-based systems/IPC
-
-
Must-have skills
-
8+ years building distributed/cross-platform automated test infrastructure for hardware-software integration
-
5+ years concurrent programming (multi-threading/asynchronous architectures)
-
5+ years with communication protocols (TCP/IP or RPC)
-
Bachelor
-
Full Description
info_outline
XIn most instances, this position requires in-person interviews as part of the hiring process.
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience. 8 years of experience designing distributed, cross-platform, or automated test infrastructures for hardware-software integration. 5 years of experience with concurrent programming, multi-threading, or asynchronous systems architectures. 5 years of experience with communication protocols (e.g., TCP/IP or RPC).
Preferred Qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field. Experience writing software abstraction layers, drivers, wrappers around third-party instrument SDKs and APIs to control and stream data from lab hardware (e.g., optical devices, measurement instruments, imaging systems). Experience establishing CI/CD pipelines, managing cross-platform build servers, implementing deployment automation. Familiarity with C++ and GPU compute workflows; specifically experience interfacing Python with compiled binaries or vendor SDKs. Background in optical hardware-systems such as cameras, displays, and familiarity with image processing. Strong understanding of Linux OS internals, process management, low-level I/O, cross-platform IPC.
