Edge C2 Systems Engineer – UAS Networking & Autonomy

Anduril Industries; Costa Mesa (CA); On-site; USD 166,000 - 206,000; Full time

Job summary

Anduril Industries in Costa Mesa, CA is seeking a systems engineer to help design and manage the next generation of flight vehicles and autonomous systems. You will work on an autonomy stack, simulation, and rapid prototyping to drive complex electro-mechanical and aero-performance tradeoffs across the full product lifecycle.

Ideal candidates have 5+ years in network engineering, expert knowledge of multicast/unicast routing, Linux, and scripting (Python/ Matlab), plus willingness to travel up

Qualifications

• 5+ years experience as a network engineer.
• Expert level knowledge of multicast and supporting protocols IGMP & PIM.
• Expert level knowledge of unicast and supporting protocols OSPF & BGP.
• Experience with end to end testing of both unicast and multicast data flows.
• Advanced knowledge of Linux based operating systems.
• Ability to travel domestically up to 50% and onsite in Costa Mesa, CA.

Responsibilities

• Enable UAS C2 capabilities through resilient network design
• Derive system/subsystem/component level requirements
• Design, develop, and maintain system components that meet functional and performance requirements in complex system environments
• Conduct thorough testing and debugging to ensure the reliability, scalability, and resilience of software applications, especially within a distributed systems context
• Work closely with hardware engineers and product managers to ensure seamless integration of software and hardware components
• Collaborate with the team to define and document software engineering processes and practices, ensuring adherence to quality standards and regulatory requirements

Skills

Communication skills

Linux knowledge

Python/Matlab

Security clearance

Network design

5+ years network experience

Tools

Python

Matlab

Job description

Anduril Industries in Costa Mesa, CA is seeking a systems engineer to help design and manage the next generation of flight vehicles and autonomous systems. You will work on an autonomy stack, simulation, and rapid prototyping to drive complex electro-mechanical and aero-performance tradeoffs across the full product lifecycle.

Ideal candidates have 5+ years in network engineering, expert knowledge of multicast/unicast routing, Linux, and scripting (Python/ Matlab), plus willingness to travel up