MCPNew: now works with Claude & AI assistants
Specter

Specter

Software Engineer - Systems

Company

Specter

Role

Software Engineer - Systems

Job type

Full-time

Found on Mokaru

8 months ago

Share this job

Salary

Not disclosed by employer

Job description

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
Resume ExampleCover Letter Example

Explore more