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Software Engineer - Systems

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Specter
Full Time position
Listed on 2026-01-12
Job specializations:
  • Engineering
    Software Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

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, autonomous operations management, and “digital twinning” of physical processes.

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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