Experience with 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, autonomous systems, SLAM pipelines, or perception systems (implementation, not research)
Expertise in kernel-level engineering, device drivers, or high-performance networking
Familiarity with distributed systems that process real-time data flows
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software
Experience with Linux systems programming (syscalls, drivers, kernel parameters, scheduling, memory/IO subsystems)
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 - kernel scheduling, drivers, networking, GPU/CPU 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 researchers and platform engineers to translate high-level model requirements into real-world system performance