Senior Software Engineer, Distributed Systems (Rust)
Anduril · Remote (Remote US)
Equity This posting mentions equity, such as stock options or RSUs. The terms are on the company’s site.
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About the role
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Lattice is the software platform behind Anduril's autonomous systems. The Data Distribution team owns how data moves through it: the Distributed Service Bus (DSB), a messaging layer that carries every track, sensor reading, command, and video stream between nodes.
DSB runs on robots deployed at the edge, over networks that are slow, lossy, and sometimes gone entirely: tactical radios, satellite links, and wired networks, often all at once. Nodes join, leave, and get partitioned all the time. That makes this a distributed systems problem in the textbook sense, with consistency, delivery guarantees, and failure handling all in play, but with real bandwidth limits and real consequences when it doesn't work.
The team is small and the system is in active development. It's a good time to join if you want a large surface area and real ownership.
WHAT YOU'LL DO
Messaging semantics. DSB provides pub/sub, reliable request/response, and ordered bidirectional streams with flow control. You'll design the delivery guarantees, retry and acknowledgement behavior, and backpressure that sit behind each one, and decide what each guarantee costs on a link that drops packets.
Routing across a changing mesh. Topology changes constantly, and a node may have several paths to the same destination. You'll work on OSPF-style link-state routing, multi-path link selection, and prefix-based routing, and on keeping routing state convergent when the network splits and rejoins.
Gossip and state dissemination. Subscription tables, topology, and node metadata have to propagate across the mesh without flooding it. You'll design and tune gossip protocols and reason about how and when they converge.
Operating under constrained bandwidth. Some links carry a few kilobits per second. You'll build priority-based QoS scheduling, compression, and protocol-level optimizations so that the important traffic gets through first.
gRPC over the mesh. You'll extend our gRPC proxy layer so existing services can talk to each other over DSB without changes, including service discovery, retries, and timeouts across unreliable links.
Correctness through simulation. The same production code runs under a deterministic, manually clocked scheduler, so failures are reproducible. You'll build simulation harnesses and tests that find the bugs that only show up under partitions, reordering, and loss.
Debugging real systems. You'll trace problems from packet captures on deployed hardware up to cloud infrastructure, using metrics, logs, and CLI tools for live mesh inspection.
Secure transport. You'll implement authenticated, encrypted links over TCP and UDP (mTLS and DTLS), provide message authenticity, integrity, and confidentiality end to end, and keep the stack FIPS-compliant as it evolves. That includes handling certificate rotation and making sure the crypto doesn't eat the bandwidth budget on slow links.
Continued in Anduril’s original posting ↗.
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