Production-Grade Research Engineer, Robotics & ML

XDOF; San Mateo; On-site; PHP 900,000 - 2,100,000; Full time

Job summary

XDOF in the Philippines is seeking a Research Engineer to bridge research prototypes and production-grade software. You’ll work across perception, ML, and data infrastructure to deliver scalable, reliable code for real robots.

You’ll harden perception pipelines for real-time embedded platforms, profile and optimize on CPU, memory, and GPU, and write CUDA kernels. Collaboration with researchers and the infrastructure team ensures clean handoffs.

Qualifications

• 3+ years of industry experience in software engineering with a focus on systems, performance, or production ML.
• Strong C++ proficiency, including modern C++ (C++17/20), memory management, and performance-conscious coding patterns.
• CUDA programming experience: ability to write, profile, and debug GPU kernels.
• Proficiency with Python and familiarity with ML frameworks (PyTorch, TensorFlow) at the level needed to read and modify research code.
• Comfort with Linux systems, including build systems, debugging tools, and containerization.

Responsibilities

• Turn prototype code into production-grade software for deployment across teams.
• Hardening a research perception pipeline (pose estimation, SLAM, calibration) for reliable real-time execution on embedded platforms.
• Profile and optimize performance-critical code at the CPU, memory, and GPU level.
• Write and debug CUDA kernels for acceleration of compute-heavy workloads.
• Integrate research outputs into production codebase with testing, error handling, and observability.
• Containerize and package workloads (Docker) for deployment by the infrastructure team.
• Collaborate with researchers to balance accuracy, latency, and resource usage.

Skills

C++ proficiency

CUDA programming

Python

Linux systems

software performance

Tools

PyTorch

TensorFlow

Docker

NSight

Job description

XDOF in the Philippines is seeking a Research Engineer to bridge research prototypes and production-grade software. You’ll work across perception, ML, and data infrastructure to deliver scalable, reliable code for real robots.

You’ll harden perception pipelines for real-time embedded platforms, profile and optimize on CPU, memory, and GPU, and write CUDA kernels. Collaboration with researchers and the infrastructure team ensures clean handoffs.