Software Engineer - Systems
AI Summary
Owns distributed on-device software for Specter’s mother node base stations, building low-latency networking, data pipelines, and command-and-control infrastructure for a multi-modal wireless sensor network.
About this role
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 and Philip 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
Skills
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