Inverse Problems Engineer Jobs

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3mo ago

R&D Engineer

Fluence Labs Houma, LA Hybrid

Houma, LA

3mo ago Closed

$85k - $110k/yr Full time Ct Imaging Cuda Design

This position is no longer accepting applications (closed May 21, 2026).

Job Description

This hybrid remote position is based in Houma, Louisiana, with an annual salary range of $85,000 to $110,000. As an R&D Engineer at Fluence Labs, you will advance reconstruction and analysis algorithms for X-ray CT imaging systems while providing essential IT support across the organization. The role emphasizes computational imaging, collaboration with both technical and non-technical teams, and the maintenance of imaging pipelines and data systems.

Responsibilities

Develop, optimize, and refine reconstruction algorithms for X-ray CT and other advanced non-destructive testing imaging modalities.
Build physics-based and data-driven pipelines to improve image quality, processing speed, reliability, and automation.
Leverage machine learning and deep learning techniques to enhance reconstructions, reduce artifacts, and improve overall image quality.
Tackle complex inverse problems using modern numerical optimization strategies.
Write high-performance software with GPU acceleration via CUDA and employ parallel computing approaches.
Handle and analyze large 3D volumetric datasets.
Prototype innovative ideas and transition them into production software for NDT applications.
Plan and execute simulation studies alongside real-world experimental validation.
Collaborate closely with hardware, software, applications, and inspection teams.
Document algorithms, test results, and code with clear, thorough records.
Support internal innovation efforts, contribute to technical reports, and assist with external presentations as needed.
Provide day-to-day IT support, troubleshooting hardware, software, and network issues affecting imaging workstations and data systems.
Maintain, update, and optimize CT reconstruction tools, GPU environments, data pipelines, and related software.
Assist with setup and basic support for high-performance computing systems, laptops, servers, and peripherals.
Support routine data backups, secure file sharing, and fundamental data protection practices.
Coordinate with external IT resources when more advanced issues arise.

Requirements

Solid technical proficiency in computational imaging concepts and techniques.
Ability to collaborate effectively with both technical and non-technical stakeholders across teams.

Technologies

CUDA

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