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Assistant Cuda Jobs in Texas (NOW HIRING)

Spectral MD Inc

Software Engineer

Dallas, TX · On-site

This position will assist in the integration of computer vision algorithms into our Windows-based ... Coordinate CUDA ↔ OpenGL interoperability for real-time visualization Required Qualifications

GSM Outdoors

Product Photographer

Richardson, TX · On-site

... Cuda, Boss Buck , and many more, we're committed to delivering compelling visual content that ... * Assist with developing and improving studio photography workflows and best practices. * Stay ...

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Assistant Cuda information

What skills and qualifications are needed to thrive as an assistant CUDA developer?

To thrive as an Assistant CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and familiarity with GPU architectures, often backed by a degree in computer science or a related field. Proficiency with CUDA development tools, debugging utilities, and version control systems like Git is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and optimizing code. These skills ensure efficient development of high-performance applications and successful integration of GPU acceleration into software solutions.

What are the roles and responsibilities of an assistant CUDA developer?

An Assistant Cuda typically supports senior CUDA (Compute Unified Device Architecture) developers or teams working with NVIDIA’s parallel computing platform. Their responsibilities include assisting in developing, testing, and optimizing code written for GPUs to accelerate computing tasks, debugging CUDA applications, and maintaining documentation. They may also handle routine tasks such as performance benchmarking, code reviews, and collaborating with other team members to implement efficient GPU solutions. This role is crucial in organizations that rely on high-performance computing, scientific simulations, or AI workloads.

What is the difference between Assistant Cuda vs Assistant Data Analyst?

AspectAssistant CudaAssistant Data Analyst
Required CredentialsTypically a relevant degree in computer science or related fieldOften a degree in data science, statistics, or related field
Work EnvironmentTech companies, software development teams, AI projectsBusiness, finance, marketing, or research departments
Employer & Industry UsageUsed in tech and AI industries for supporting CUDA programming tasksCommon in data-driven industries for data processing and analysis

Assistant Cuda and Assistant Data Analyst roles share some technical background but differ mainly in focus. Assistant Cuda primarily supports GPU programming and AI development, while Assistant Data Analyst focuses on data interpretation and reporting. Both roles require relevant technical skills and are found in industries leveraging data and technology, but their daily tasks and industry applications vary significantly.

What are common challenges faced by assistant CUDA developers when optimizing code for GPU performance?

Assistant CUDA developers often encounter challenges such as managing memory efficiently between the host and device, ensuring proper kernel parallelization, and avoiding thread divergence. Balancing occupancy and resource usage can also be tricky, as it requires a deep understanding of how CUDA schedules and executes threads. Collaborating closely with data scientists and other engineers is essential to identify performance bottlenecks and implement effective optimizations.
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Assistant Cuda jobs near you

Software Engineer

Spectral MD Inc

Dallas, TX • On-site

Full-time

Re-posted yesterday

Job description

Position Summary:

Spectral AI, Inc. (Spectral) is seeking a software engineer to join our growing design and development team. The position is based in Dallas, Texas, with hybrid work flexibility in accordance with the Spectral Employee Handbook guidelines. This position will assist in the integration of computer vision algorithms into our Windows-based DeepView AI software. This role focuses on bridging advanced GPU-based reconstruction and segmentation algorithms with a clinical production software system, ensuring performance, stability, and regulatory readiness.

The software engineer will work closely with Data Science, Algorithm, and UI/UX teams to integrate 2D/3D segmentation, point cloud reconstruction, mesh generation, and visualization into a cohesive, multi-threaded GPU-accelerated workflow.

Key Responsibilities:

3D Reconstruction & Visualization Integration

  • Point cloud reconstruction pipelines
  • Mesh generation and texturing workflows
  • OpenGL-based visualization components

Windows Software & C# Integration

  • Integrate GPU-accelerated algorithms into an existing Windows OS–based C# application
  • Coordinate C# application logic with native GPU components (CUDA / TensorRT / OpenGL / Open3D)
  • Support MVVM-based architecture, async workflows, and UI responsiveness

GPU & Multi-Threaded System Design

  • Work with multi-threaded execution models:
  • Background CPU threads for capture, processing, and data management
  • GPU streams for segmentation, reconstruction, and visualization
  • Handle GPU initialization, warm-up, memory allocation, synchronization, and data transfer
  • Coordinate CUDA ↔ OpenGL interoperability for real-time visualization

Required Qualifications

  • Solid understanding of 3D math (matrices, vectors, quaternions, transformations), Graphics pipelines, GPU architecture
  • Hands-on experience with one or more graphics APIs: OpenGL, Direct3D, Vulkan or Metal
  • Experience integrating OpenGL/Vulkan with C# via OpenTK, Silk.NET, SharpGL, or custom interop
  • Understanding of: OpenGL context creation and lifecycle and WGL / platform-specific context management
  • Familiarity C#/.NET/C++, shader languages (HLSL, GLSL) in complex Windows desktop applications
  • Experience with multi-threaded programming and async execution models
  • Experience with 3D point clouds, meshes, and visualization
  • Familiarity with ray tracing or projection of 2D masks into 3D space
  • Understanding of mesh texturing, smoothing, and artifact handling is a plus

Preferred Qualifications:

  • Experience in medical device software development
  • Familiarity with regulated software environments (FDA, IEC 62304, ISO 13485)
  • Solid understanding of medical imaging or computational geometry pipelines
  • Experience working alongside Data Science / Algorithm teams
  • Familiarity with CUDA and Open3D
  • Experience handling GPU memory transfer, synchronization, and performance optimization
  • Exposure to Qt/C++ or cross-platform UI frameworks (future platform migration is a plus)
  • Background in computer vision, photogrammetry, or 3D reconstruction

Required Education and Experience:

  • Bachelor’s degree or above in Computer Science, software engineering, Electrical/Computer Engineering, or a related field.
  • 3–5 years of proven experience working with 3D graphics, computational geometry, or imaging pipelines involving point clouds, meshes, or segmentation workflows
  • Demonstrated proficiency in technical writing, producing accurate, comprehensive, and well-structured documentation for software.

Soft Skills

  • Excellent written and verbal communication skills in English.
  • Detail-oriented, strong analytical and problem-solving skills.
  • Ability to prepare quality software documentation suitable for regulatory review.
  • Ability to collaborate across functional teams such as engineering, QA/RA, hardware, and clinical teams.
  • Comfortable managing multiple concurrent security tasks.

Physical Requirements:

  • Prolonged periods of sitting at a desk and working on a computer.

Off-hours support:

Occasional support during off-hours for security events or release deadlines.

Equal Employment Opportunity:

Spectral AI, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.