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Software Engineer - Systems

Specter · San Francisco Bay Area

📍 San Franciscovia ashbyPosted 2025-10-03
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Company Background: Specter is creating a software-defined “control plane” for the physical world. We are starting with protecting American businesses by granting them ubiquitous perception over their physical assets. To do so, we are creating a connected hardware-software ecosystem on top of multi-modal wireless mesh sensing technology. This allows us to drive down the cost and time of deploying sensors by 10x. Our platform will ultimately become the perception engine for a company’s physical footprint, enabling real-time perimeter visibility and autonomous operations management. Our co-founders Xerxes https://www.linkedin.com/in/xerxes-libsch/ and Philip https://www.linkedin.com/in/philip-clark-883a41126/ are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces. Role + Responsibilities: Specter is hiring a systems software engineer to own distributed on-device software engineering for Specter’s mother node base stations. Responsibilities include: - Building low-latency networking infrastructure connecting embedded and cloud systems - Building resource-efficient pipelines to egress/ingress multimodal sensor data and telemetry - Building low-latency command and control infrastructure across distributed sensor network Qualifications: - 5+ years of experience in Rust (preferred) or C++ in low-latency and/or embedded settings - Deep experience working directly with networking protocols such as UDP, TCP, QUIC, etc. - Deep knowledge and understanding of IPC fundamentals and mechanics on Linux systems - Deep experience working directly with performant modern databases, distributed or otherwise Preferences: - Experience working alongside real-time, multi-modal machine learning data ingestion systems - Experience with modern video codec implementations across various hardware platforms

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