Deployments Software Engineer
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Jun 11, 2026. Π scores B on the Alion truth index.
Join our Deployments team as a Software Engineer, where you'll tackle real-world problems with our models and robots. You'll work on integrating with customer workflows, training models, and ensuring on-site reliability. Your responsibilities will include designing remote teleoperation interfaces, optimizing system performance, developing real-time video streaming systems, and collaborating with cross-functional teams. Strong programming skills in C++, Rust, or Python are required, along with experience in real-time systems, video pipelines, and robotics.
Missions
- Design and develop remote teleoperation interfaces for controlling robots with many degrees of freedom, ensuring comfort and precision.
- Optimize system performance across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput.
- Collaborate with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows, ensuring reliability and debugging.
Profil recherché
- Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software- A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness
- Ability to collaborate deeply with robot users, researchers, and platform engineers to build a precise and comfortable teleoperation interface
- Background in real-time or near-real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict
- Ability to optimize across the entire stack - drivers, networking, compute workloads, video frameworks, and distributed components
- Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues
- Experience with robot teleoperation systems, VR/AR platforms, or low-latency 3D engines
- Camera system expertise (synchronization, capture pipelines, codecs, GPU offload)
- Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations)
- Familiarity with distributed systems that process real-time data flows
- Background in robotics or autonomous systems (implementation, not research)