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Remote Nvidia Deep Learning Jobs in Houston, TX (NOW HIRING)

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... Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ideas using deep learning, neural networks, and large ...

US Remote This resource will work specifically on anomaly detection within one of our plant ... Understanding of machine learning and deep learning models to select and implement for prediction ...

Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support ... Machine learning, deep learning, neural networks * Mission science integration and operations

Senior Software Engineer - Remote

Texas City, TX · Remote

$104K - $138K/yr

Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

New

Deep technical knowledge of Strategy, Paid Media, SEO, and CRO for tech companies * Strong SaaS ... Driven to stay ahead of industry trends, including actively learning how AI and automation can ...

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Remote Nvidia Deep Learning information

See Houston, TX salary details

$10.5K

$80.1K

$133.7K

How much do remote nvidia deep learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote nvidia deep learning in Houston, TX is $80,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $132,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What are popular job titles related to Remote Nvidia Deep Learning jobs in Houston, TX? For Remote Nvidia Deep Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Deep Learning jobs in Houston, TX look for? The top searched job categories for Remote Nvidia Deep Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Nvidia Deep Learning jobs? Cities near Houston, TX with the most Remote Nvidia Deep Learning job openings:
Infographic showing various Remote Nvidia Deep Learning job openings in Houston, TX as of July 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $80,108 per year, or $38.5 per hour.
Machine Learning Guru (Autonomous Navigation)**

Machine Learning Guru (Autonomous Navigation)**

Talentry, LLC

Houston, TX • Remote

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

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Job description

Senior/Principal Machine Learning Engineer

200-300k

Remote position possible

Description

  • Develop solutions for autonomous driving, from experimentation to full commercialization.
  • Explore new ideas using deep learning, neural networks, and large foundation models.
  • Work on object detection, tracking, prediction, planning, control, online mapping, and more.
  • Manage the full life cycle of machine learning projects, including data analysis and model verification.
  • Collaborate with product, simulation, and algorithm teams to integrate machine learning technologies.

Qualifications

  • Advanced degree (Ph.D. or Master’s) in computer science, computer engineering, mathematics, physics, or related field.
  • In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques.
  • Knowledge of generative models, model distillation, or model inference acceleration.
  • Familiarity with PyTorch, TensorFlow, and other machine learning platforms.
  • Ability to work independently in a fast-paced environment and collaborate on complex projects.
  • A track record of research publications in top conferences/journals is preferred.

Benefits

  • Work on cutting-edge autonomous navigation technology.
  • Opportunity to contribute to world-first innovations.
  • Vibrant and fast-paced work environment.
  • Exposure to cross-team projects and collaboration.
  • Chance to transform dreams into reality in the future of transportation.
  • Excellent salary and benefits – chance to get in on the ground floor!

** To apply, please answer all screening questions completely. Incomplete questionnaires will result in automatic rejection. **