Senior Software Engineer - Edge Systems & Perception Infrastructure

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Israel
Remote or Hybrid
Senior level
Artificial Intelligence • Computer Vision • Transportation
Vision you can trust
The Role
Build and own edge software infrastructure for maritime perception systems, including sensor integration, real-time data pipelines, hardware interfaces, distributed communication, synchronization, deployment, monitoring, and diagnostics. Optimize embedded Linux systems for performance and reliability across varied hardware configurations. Collaborate with algorithm and field teams during integration, sea trials, and real-world debugging.
Summary Generated by Built In
Description

At Orca AI Defense we build autonomous and AI-driven maritime systems for defense and government operators - perception, navigation and decision-making that run onboard, in real time, at sea, under conditions nobody controls.

We are hiring a Senior Software Engineer to build and own the software infrastructure behind our maritime perception systems. You will work across the full edge software stack, from sensor integration and real-time data pipelines to system architecture, hardware abstraction, deployment and communication between computing units.

You will face challenging problems involving embedded compute, high-bandwidth sensor data, timing, synchronization, resource constraints and distributed systems. Your software needs to perform reliably on a single edge device or across multiple interconnected units, adapting to different hardware configurations, sensors and operational environments. You own the infrastructure beyond the development environment, including how it behaves in the field and how it evolves across products and deployments.


What Will You Do?

  • Own and develop the edge software infrastructure: architecture, hardware interfaces, data pipelines, configuration, resource management and fault handling
  • Build reliable, high-performance software for real-time sensor acquisition, processing and data distribution across edge computing platforms
  • Design and implement communication and synchronization between computing units, including shared sensor streams, time synchronization, data transport and fault recovery
  • Develop modular and configurable software that supports different computing platforms, hardware configurations and product variants
  • Optimize system performance on embedded Linux platforms, including CPU/GPU utilization, memory, latency, concurrency and communication bandwidth
  • Own software deployment and release management: builds, packaging, versioning, remote updates, rollback and configuration management
  • Build system monitoring, logging, recording and remote diagnostics, and work with algorithm and field teams on integration, sea trials and debugging real-world failures
Requirements
  • 5+ years of hands-on software engineering experience developing software that runs on embedded or edge hardware
  • Strong C++ and Python development experience on Linux, including multithreading, concurrency and real-time systems
  • Proven experience developing infrastructure for hardware-based systems, including sensor integration, data pipelines, communication and resource management
  • Strong understanding of networking, inter-process communication, data transport and synchronization between processes or devices
  • Experience integrating edge systems with cloud infrastructure, including networking, communication protocols and reliable data exchange
  • Hands-on experience with system-level debugging, performance profiling and optimization on resource-constrained hardware
  • Experience with software deployment, build systems, configuration management and diagnostics on operational devices
  • A field mindset - willing to be on a boat!


Nice-To-Haves

  • Computer vision or AI inference pipelines on edge compute (Jetson, x86)
  • High-bandwidth camera and sensor interfaces, streaming and recording
  • PTP, hardware timestamping and multi-sensor time synchronization
  • Maritime, naval or marine systems


Challenges & Opportunities

  • Own the software infrastructure behind a new generation of maritime perception products
  • Solve complex real-time, performance and hardware integration challenges on operational edge systems
  • Build the foundation that allows one software stack to run across different hardware platforms, sensors and system configurations
  • Be on the boat for the whole path from first line of code to delivery
  • Join a small, high-impact team working at the bleeding edge of autonomy and robotics

Skills Required

  • 5+ years of hands-on software engineering experience developing software for embedded or edge hardware
  • Strong C++ and Python development experience on Linux, including multithreading, concurrency, and real-time systems
  • Experience developing infrastructure for hardware-based systems, including sensor integration, data pipelines, communication, and resource management
  • Strong understanding of networking, inter-process communication, data transport, and synchronization between processes or devices
  • Experience integrating edge systems with cloud infrastructure, networking, communication protocols, and reliable data exchange
  • Hands-on experience with system-level debugging, performance profiling, and optimization on resource-constrained hardware
  • Experience with software deployment, build systems, configuration management, and diagnostics on operational devices
  • Willingness to work on a boat and support field operations
  • Experience with computer vision or AI inference pipelines on edge compute, such as Jetson or x86
  • Experience with high-bandwidth camera and sensor interfaces, streaming, and recording
  • Experience with PTP, hardware timestamping, and multi-sensor time synchronization
  • Maritime, naval, or marine systems experience
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The Company
HQ: Tel Aviv-Yafo
163 Employees
Year Founded: 2018

What We Do

Founded in 2018 by a team of Navy veterans, Orca AI, a maritime tech startup, empowers shipping companies to enhance their operational safety, efficiency, and sustainability through a single AI and computer-vision-based operations platform. By June 2025 more than 1200 vessels have been booked and installed with the platform. The platform is trusted by key industry players across various shipping segments, including MSC, Seaspan, Maran Tankers / Angelicoussis Group, NYK, and Marubeni. The company has raised a total of $111 million in funding (Round B of $72.5 completed in May 2025) and employs 110 people across its offices in London, Athens, Singapore, and Tel Aviv

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