About this role
San Mateo on-site is the location for this full-time Member of Technical Staff, Research Engineer position at xdof, which suits a software engineer with a background in systems, performance, or production machine learning who wants to transition research prototypes into scalable hardware implementations. This professional will act as a bridge between research and production environments, supporting perception, machine learning, and data infrastructure teams.
Role Overview
xdof is hiring a Research Engineer in San Mateo to transform experimental research code into reliable, production-grade systems that operate on real hardware. The person in this role will float across multiple teams to address high-priority needs in perception, machine learning, and data infrastructure, ensuring that algorithmic concepts run efficiently at scale.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
xdof builds the foundation for foundation models, developing data collection systems, software toolchains, operational capabilities, and exabyte-scale data warehouses to support partners in the robotics field.
How to Apply
Candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The position is located on-site in San Mateo.
What is the primary focus of the role?
The role focuses on bridging the gap between research prototypes and production code, turning research models into reliable systems that run on real hardware.
How many years of experience are required?
The position requires 3+ years of industry experience in software engineering with a focus on systems, performance, or production ML.
What programming languages and tools are needed?
Key requirements include modern C++ (C++17/20), CUDA programming, Python, familiarity with PyTorch and TensorFlow, Linux systems, and tools like Docker, perf, and NSight.