System Engineer

C++ / CUDA Systems Engineer — Real-Time Robotics

Malibu or Santa Monica

$140,000 to $160,000

You will be working on a next-generation, image-guided robotic platform operating in a real-time environment where latency, precision, and reliability are critical.

We’re looking for an engineer who enjoys working close to the metal: building high-performance systems that coordinate compute, perception, and hardware in a tightly constrained setting.

What you’ll work on

Designing and optimizing multi-threaded C++ pipelines for real-time image processing and model inference
Building and managing GPU-accelerated workflows using CUDA
Coordinating workloads across CPU and GPU to meet strict latency and throughput requirements
Integrating hardware components such as cameras, sensors, and motion systems into a cohesive runtime
Developing system-level interfaces (APIs, IPC, messaging) to connect distributed components
Creating tooling for profiling, debugging, and observability in performance-critical environments
Supporting simulation and hardware-in-the-loop testing

What we’re looking for

Strong experience with modern C++ (C++17/20), including concurrency and memory management
Hands-on experience with CUDA or GPU-accelerated systems
Experience working in real-time, embedded, or latency-sensitive environments
A track record of building production-grade systems
Familiarity with performance profiling and debugging tools

Nice to have

Experience with ML inference frameworks (e.g., TensorRT, ONNX Runtime)
Exposure to robotics, medical devices, or other safety-critical systems
Experience integrating and debugging physical hardware
Familiarity with IPC mechanisms such as shared memory or DDS

Why this role

Work on systems where correctness, performance, and reliability are non-negotiable
Solve complex, real-world problems at the intersection of software and hardware
Collaborate with a highly technical, cross-disciplinary team
Shape core infrastructure in a system being built from the ground up

Apply for job