1 day ago
San Mateo, CA, USAMid Level
H1B sponsor
Responsibilities
- Convert research prototypes into production-grade software for reliable, real-time execution on hardware.
- Harden perception pipelines involving pose estimation, SLAM, and calibration for embedded platforms.
- Profile and optimize CPU, memory, and GPU performance using profiling tools and microbenchmarks.
- Write, profile, and debug CUDA kernels for compute-intensive workloads.
- Integrate research outputs into production code with testing, error handling, and observability.
- Containerize and package workloads with Docker for infrastructure-team deployment and scaling.
- Work with researchers to balance algorithmic accuracy, latency, and resource usage.
- Coordinate with infrastructure teams to hand off production-ready workloads using orchestration and compute systems.
Requirements
- 3+ years of industry software engineering experience focused on systems, performance, or production ML.
- Strong proficiency in C++, including modern C++17/20, memory management, and performance-conscious coding.
- Experience writing, profiling, and debugging CUDA GPU kernels.
- Experience optimizing CPU performance, including profiling, cache behavior, SIMD, and latency reduction.
- Proficiency in Python and familiarity with PyTorch and TensorFlow sufficient to read and modify research code.
- Comfort with Linux systems, build systems, debugging tools, and containerization.
- Experience shipping research or prototype code in production is valued.
- Experience with real-time or embedded systems, perception, computer vision, or robotics is valued.
- Experience optimizing model inference with TensorRT, ONNX Runtime, or similar tools is valued.
- Understanding of the lifecycle from research notebook to containerized, monitored production service is valued.
About XDOF
XDOF builds data, software, and operational infrastructure for robotics companies and research labs developing general‑purpose robots and physical AI. It provides scalable data collection, tooling, hardware integration, and services that help teams train, deploy, and manage autonomy systems. The company is privately held and positions itself as an infrastructure partner to frontier labs and robotics builders, with a team drawing experience from Tesla, Google, Applied Intuition, BAIR, Covariant, and Gatik.