Staff Software Engineer, Raxium Display Test
Google· Internet & Cloud Services· Sep 1, 2026 · 2mo ago
Fremont, CA, USA
In office
Full-time
Staff
$167K–$235K est.
8+ years exp
Job description
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
• Partner with executive domain experts to architect a unified, high-performance software ecosystem, designing the framework that bridges instrument control, CMOS chip communication, and high-throughput image processing pipelines.
• Take ownership of test cycle latency, identifying and resolving systemic software bottlenecks by optimizing asynchronous execution, minimizing inter-process communication overhead, and streamlining data ingest pipelines.
• Lead the architectural evolution of our test framework, decomposing legacy, monolithic codebases into a decoupled, distributed, and cross-platform architecture that prioritizes modularity and maintainability.
• Leverage Google's internal developer tools to mature the software development life-cycle, implementing robust release pipelines, managing cross-platform build infrastructure, and enforce high-standard automated testing and code review practices.
• Manage project priorities, deadlines, and deliverables.
• 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).
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.
Application prep
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Keywords to mirror
ci/cdpython
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