Thank you! Location: 100% Remote (Anywhere in the U.S.) Duration: 6-Month Contract Position ... Familiarity with GPU technologies such as CUDA, cuDNN, or TensorRT. * Experience deploying machine ...
Thank you! Location: 100% Remote (Anywhere in the U.S.) Duration: 6-Month Contract Position ... Familiarity with GPU technologies such as CUDA, cuDNN, or TensorRT. * Experience deploying machine ...
Cuda Remote information
What skills and qualifications are needed to thrive as a CUDA Remote developer?
To excel as a CUDA Remote Developer, you need strong programming skills in C/C++ and parallel computing concepts, typically supported by a degree in computer science or related field. Familiarity with NVIDIA CUDA Toolkit, GPU architectures, and related development environments is essential. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage remote work challenges. These competencies ensure efficient development of high-performance GPU-accelerated applications and productive teamwork in distributed settings.
What are common challenges faced by CUDA Remote developers when working with distributed GPU workloads?
Cuda Remote developers often encounter challenges related to optimizing data transfer between remote devices, managing synchronization across distributed systems, and debugging performance issues that arise due to network latency. Collaborating with cross-functional teams, such as data scientists and DevOps engineers, is essential to ensure efficient GPU resource allocation and seamless integration with existing infrastructures. Staying up to date with the latest CUDA libraries and best practices is also important for overcoming these hurdles and delivering scalable, high-performance solutions.
What is the difference between Cuda Remote vs Data Analyst?
| Aspect | Cuda Remote | Data Analyst |
|---|---|---|
| Required Credentials | Technical certifications, remote work experience | Degree in statistics, data science, or related field |
| Work Environment | Remote, often project-based | Office or remote, depending on employer |
| Industry Usage | Tech, finance, healthcare | Business, marketing, finance |
| Common Search/Comparison | Remote tech roles | Data analysis jobs |
While Cuda Remote focuses on remote technical roles often involving CUDA programming, Data Analysts primarily analyze data to inform business decisions. Both roles may require analytical skills, but Cuda Remote emphasizes technical CUDA expertise in remote settings, whereas Data Analysts focus on data interpretation and visualization, often in office or hybrid environments.
What is a CUDA Remote job?
CUDA Remote jobs are positions that focus on developing, optimizing, or supporting applications using NVIDIA's CUDA platform, which enables parallel computing on GPUs, and can be performed entirely from a remote location. These jobs typically involve programming in C, C++, or Python, and require knowledge of parallel computing concepts. Remote CUDA roles are common in industries like AI, scientific computing, data analytics, and graphics rendering, allowing professionals to collaborate with teams globally without needing to relocate.
What are the most commonly searched types of Cuda jobs in Missouri?
The most popular types of Cuda jobs in Missouri are:
What are popular job titles related to Cuda Remote jobs in Missouri?
For Cuda Remote jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Cuda Remote jobs in Missouri look for?
The top searched job categories for Cuda Remote jobs in Missouri are:
What cities in Missouri are hiring for Cuda Remote jobs?
Cities in Missouri with the most Cuda Remote job openings:
Contractor
Re-posted 23 days ago
Job description
08/06/26
The hiring manager is looking for people with experience working with autoregressive models, diffusion and flow matching models, FSQ and RVQ codec models, and full-duplex speech-to-speech models.
Deep Learning Scientist - Speech Synthesis
Update on 07/22/26:
No PHD is need just focus on seeking candidates with deep, hands-on expertise in Text-to-Speech (TTS), including experience developing and working with modern SOTA architectures and models. It is essential that their TTS background reflects work with the latest technologies and innovations in speech synthesis, demonstrating current industry knowledge and practical implementation experience.
Update as of 07/21/26: Hi,
We are specifically seeking candidates with deep, hands-on expertise in Text-to-Speech (TTS), including experience developing and working with modern SOTA architectures and models. It is essential that their TTS background reflects work with the latest technologies and innovations in speech synthesis, demonstrating current industry knowledge and practical implementation experience.
Thank you!
Location: 100% Remote (Anywhere in the U.S.)
Duration: 6-Month Contract
Position Overview
We are seeking a Deep Learning Scientist - Speech Synthesis to support the development of next-generation speech AI technologies. This role focuses on training and optimizing speech models, improving model performance, and solving complex machine learning challenges related to speech applications.
The ideal candidate has strong experience in speech synthesis (Text-to-Speech) or Speech-to-Text, deep learning, and Python development. Success in this role requires the ability to analyze model behavior, diagnose training issues, and improve model performance-not just collect or evaluate data.
Key Responsibilities
The ideal candidate is someone who enjoys solving difficult machine learning problems and has hands-on experience training speech models. Beyond building models, we're looking for someone who can investigate why a model is underperforming, analyze validation losses, identify root causes, and improve overall model quality and performance.
Additional Information
The hiring manager is looking for people with experience working with autoregressive models, diffusion and flow matching models, FSQ and RVQ codec models, and full-duplex speech-to-speech models.
Deep Learning Scientist - Speech Synthesis
Update on 07/22/26:
No PHD is need just focus on seeking candidates with deep, hands-on expertise in Text-to-Speech (TTS), including experience developing and working with modern SOTA architectures and models. It is essential that their TTS background reflects work with the latest technologies and innovations in speech synthesis, demonstrating current industry knowledge and practical implementation experience.
Update as of 07/21/26: Hi,
We are specifically seeking candidates with deep, hands-on expertise in Text-to-Speech (TTS), including experience developing and working with modern SOTA architectures and models. It is essential that their TTS background reflects work with the latest technologies and innovations in speech synthesis, demonstrating current industry knowledge and practical implementation experience.
Thank you!
Location: 100% Remote (Anywhere in the U.S.)
Duration: 6-Month Contract
Position Overview
We are seeking a Deep Learning Scientist - Speech Synthesis to support the development of next-generation speech AI technologies. This role focuses on training and optimizing speech models, improving model performance, and solving complex machine learning challenges related to speech applications.
The ideal candidate has strong experience in speech synthesis (Text-to-Speech) or Speech-to-Text, deep learning, and Python development. Success in this role requires the ability to analyze model behavior, diagnose training issues, and improve model performance-not just collect or evaluate data.
Key Responsibilities
- Train and optimize speech synthesis models, including mel spectrogram and vocoder models.
- Analyze training metrics, validation losses, and model performance to identify root causes of model issues and recommend improvements.
- Benchmark and optimize speech models across multiple use cases.
- Improve speech data preparation, augmentation, filtering, and dataset quality.
- Develop and refine high-quality training datasets for speech AI models.
- Measure and characterize model accuracy, quality, and bias.
- Collaborate with cross-functional teams to develop and deliver new speech AI features.
- Participate in software development, design reviews, testing, and code reviews.
- Troubleshoot technical issues and contribute to continuous model improvements.
- Master's degree or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, Linguistics, Computational Linguistics, or a related field (or equivalent experience).
- 3+ years of relevant industry experience.
- Strong Python programming skills.
- Strong understanding of machine learning and deep learning concepts.
- Experience with Text-to-Speech (TTS), Speech Synthesis, or Speech-to-Text (STT) technologies.
- Hands-on experience training deep learning models using PyTorch.
- Ability to analyze training behavior, validation losses, and model performance to troubleshoot and improve machine learning models.
- Knowledge of speech signal processing concepts, including FFT, MFCC, and mel spectrograms.
- Strong understanding of software development fundamentals.
- Experience using version control systems such as Git, Gerrit, or GitLab.
- Excellent communication and collaboration skills.
- Experience with deep learning architectures such as CNNs, RNNs, LSTMs, and Transformers.
- Experience with voice cloning or multilingual speech systems.
- Knowledge of text normalization (TN), inverse text normalization (ITN), or grapheme-to-phoneme (G2P) systems.
- Fluency in one or more languages such as Spanish, Mandarin, German, Japanese, Russian, French, Arabic, Hindi, Korean, Italian, or Portuguese.
- Interest in linguistics, phonetics, and speech technologies.
- Strong C++ programming skills.
- Familiarity with GPU technologies such as CUDA, cuDNN, or TensorRT.
- Experience deploying machine learning models to cloud, data center, or embedded environments.
The ideal candidate is someone who enjoys solving difficult machine learning problems and has hands-on experience training speech models. Beyond building models, we're looking for someone who can investigate why a model is underperforming, analyze validation losses, identify root causes, and improve overall model quality and performance.
Additional Information
- 100% remote position within the United States.
- No specific U.S. time zone requirement.
- This is a contract opportunity.
- Opportunity to contribute to cutting-edge speech AI and deep learning technologies.
About Catapult Solutions Group
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Plano, TX, US
Year founded
2013