Senior Systems Engineer (C++/Python)

JobgetherMachine learning, computer vision, 3D modeling

Based in the United StatesFull-TimeSenior

Salary175,000 - 215,000 USD per year

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Job Details

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
At least three years of relevant industry experience in a fast-paced, high-growth technology environment.
Demonstrated experience designing and building high-performance systems using C++, focused on speed, scalability, and resource efficiency.
Strong problem-solving skills and attention to detail.
Ability to learn and apply new tools, techniques, and engineering practices.
Experience with modern C++ and its integration with data ingestion systems and product pipelines is preferred.
A mathematical background in linear algebra, probability, or geometry is preferred.
Experience with Git is preferred; familiarity with Mercurial or other distributed version control systems is relevant.
Confidence working in Unix shell environments such as Bash, and with Linux and macOS development and production systems, is preferred.
Experience in game technology, particularly Unreal Engine, computational geometry, C++, and computer graphics, is preferred.
Familiarity with CMake for project and build management is preferred.
Ability to work independently within the development environment and support a preferred tools and workflow when they differ from the established setup.

Implement machine-learning, computer-vision, and inverse procedural modeling algorithms in C++.
Apply linear algebra, probability, and geometry to image analysis and 3D reconstruction.
Incorporate research in machine learning, artificial intelligence, computer vision, and computer graphics into software applications.
Collaborate with technical leadership to understand product strategy, customer requirements, and engineering objectives.
Design and optimize software for execution speed, scalability, and efficient resource management.
Use Git or other version control systems to manage source code and support collaborative development.
Deploy, execute, and test software against large-scale geospatial datasets using cloud infrastructure and remote computing environments.
Use Unix shell tools to work with remote machines, validate algorithms, and generate 3D content.
Contribute to data ingestion and product pipelines and integrate with other software components.
Troubleshoot technical issues and improve software quality and performance.

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