Senior Software Engineer, Distributed Systems

Anduril Industries

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Costa Mesa, CASeattle, Washington
Salary
$191,000–$254,000 / yr
Posted
85 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $222k
$104k $270k
below market most similar roles pay here above market

This role pays more than 85% of similar roles. Most pay $149,500–$206,450 — the blue band above. At the midpoint, this role pays about $222k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 901 open roles on FindRole.

Listed pay typically runs $166,000–$220,000 across 858 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Distributed Systems

The Senior Software Engineer, Distributed Systems (Rust) joins the Data Distribution team to build and operate the Distributed Service Bus. This core networking infrastructure enables autonomous systems to communicate reliably across denied, degraded, intermittent, and limited network environments. You will design and implement features including gossip protocols, OSPF-style link-state routing, and flow control mechanisms while extending the gRPC proxy layer. Daily tasks involve debugging complex networking issues across tactical radios and UDP/TCP transports, writing RFCs, and building deterministic simulation harnesses. Required skills include proficiency in Rust, C, C++, or Go, along with deep knowledge of TCP/UDP, socket programming, and asynchronous programming models. You will also utilize Protocol Buffers, Prometheus, Grafana, and network debugging tools like tcpdump to optimize performance for bandwidth-constrained RF links.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

What you'll do

  • Design and implement features for the Distributed Service Bus, including gossip protocols and link-state routing.
  • Build and extend the gRPC proxy layer to enable transparent service communication over the mesh.
  • Debug complex distributed networking issues across tactical radios, UDP/TCP transports, and cloud infrastructure.
  • Optimize protocols for bandwidth-constrained RF links using compression and priority-based QoS scheduling.
  • Write RFCs and technical design documents for new protocol features and API surfaces.
  • Build deterministic simulation harnesses to run production code in reproducible test environments.
  • Improve observability using Prometheus metrics, Grafana dashboards, and CLI tooling for live mesh inspection.
  • Contribute to the security posture of the communication layer through packet signing and end-to-end encryption.

What we're looking for

  • 5+ years of professional software engineering experience.
  • Proficiency in a systems programming language such as Rust, C, C++, or Go.
  • Strong understanding of networking fundamentals including TCP/UDP, socket programming, MTU, multicast, and TLS/mTLS.
  • Experience building or maintaining distributed systems like message buses, RPC frameworks, or consensus protocols.
  • Familiarity with asynchronous programming models such as async/await, event loops, and futures.
  • Comfort working with Protocol Buffers and/or gRPC.
  • Ability to read packet captures and use network debugging tools like tcpdump or Wireshark.
  • Must be eligible to obtain and maintain a U.S. Secret security clearance.
  • Production experience writing Rust (preferred).
  • Experience with gossip protocols, epidemic broadcast, or peer-to-peer overlay networks (preferred).
  • Familiarity with link-state routing protocols (OSPF, IS-IS) or inter-domain routing (BGP) (preferred).
  • Experience with deterministic simulation or property-based testing of distributed systems (preferred).
  • Familiarity with Kubernetes and container orchestration (preferred).

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