About the job
As a Robotics Software Engineer, you'll build the system that integrates state-of-the-art models with robots that work on-site. You'll build system safeguards, teleoperation interfaces, and latency optimizations. You'll work with researchers, platform engineers, and robot operators to make the whole stack dependable enough that customers bet their operations on it.
Responsibilities
Design remote teleoperation interfaces: Develop comfortable and precise interfaces for controlling robots with many degrees of freedom
Optimize for low-latency network performance: Engineer teleoperation interfaces that can continue functioning even in weak internet areas
Optimize System Performance: Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput.
Streaming & Video Systems: Develop and optimize real-time video streaming systems where frame timing and packet scheduling matter.
Reliability & Debugging: Build tooling for profiling, tracing, and debugging timing issues across distributed systems and hardware interfaces.
Cross-Functional Collaboration: Work with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows.
Qualifications
Minimum
Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software.
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.
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.
Preferred
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).
Background in robotics or autonomous systems (implementation, not research).
Familiarity with distributed systems that process real-time data flows.