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Specter

Software Engineer - Systems

Reposted 6 Days Ago
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In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Specter seeks a Systems Software Engineer to develop low-latency networking and command control systems that connect embedded and cloud systems, focusing on efficient data handling for their hardware-software ecosystem.
The summary above was generated by AI

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

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