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Deep Learning Software Engineer Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Software Engineer

Redmond, WA · Hybrid

$137K - $180K/yr

We are looking for a Senior Deep Learning Software Engineer to design and build our automated inference and deployment solution. As part of the team, you will be instrumental in defining a scalable ...

Nvidia

Senior Deep Learning Software Engineer

Santa Clara, CA · Hybrid

$143K - $189K/yr

We are looking for a Senior Deep Learning Software Engineer to design and build our automated inference and deployment solution. As part of the team, you will be instrumental in defining a scalable ...

NVIDIA

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms, collaborating with various teams to enhance deep learning software ...

NVIDIA

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms, collaborating with various teams to enhance deep learning software ...

NVIDIA

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms, collaborating with various teams to enhance deep learning software ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Matroid

Deep Learning Engineer

Palo Alto, CA

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

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All JobsDeep Learning Software Engineer Jobs

Deep Learning Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do deep learning software engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for deep learning software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

Which 5 jobs will survive AI?

Deep Learning Software Engineers are likely to continue to be in demand as AI advances because they develop and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Jobs that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled trades, and roles in management—are also expected to persist alongside AI automation. Continuous learning and adapting to new tools and techniques will be essential for these roles to remain relevant.

Is ML a high paying job?

Machine Learning (ML) roles, including Deep Learning Software Engineers, are generally well-paid due to high demand for specialized skills in algorithms, data modeling, and programming languages like Python and TensorFlow. Salaries often vary based on experience, location, and industry, but these positions tend to offer above-average compensation compared to many other tech roles.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data engineering, or machine learning can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles like senior software engineers, machine learning engineers, and AI specialists often reach this level with bonuses and stock options included.

What is the difference between Deep Learning Software Engineer vs Machine Learning Engineer?

AspectDeep Learning Software EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven teams across various industries, including finance, healthcare, and tech
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionBroader applications including predictive modeling, recommendation systems

Deep Learning Software Engineers specialize in neural networks and AI models, often working on complex AI systems. Machine Learning Engineers have a broader focus on developing and deploying machine learning models across various domains. While overlapping in skills, their roles differ in focus and application areas.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence applications across industries such as healthcare, finance, and technology. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, making their expertise highly sought after in the job market.
More about Deep Learning Software Engineer jobs
What job categories do people searching Deep Learning Software Engineer jobs look for? The top searched job categories for Deep Learning Software Engineer jobs are:
Deep Learning Software Engineer jobs near you
Infographic showing various Deep Learning Software Engineer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Deep Learning Software Engineer

Black Canyon Consulting

Bethesda, MD • On-site

$122K - $147K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Overview

We are seeking a Deep Learning Software Developer to support projects at the Applied Clinical Informatics Branch (ACIB), Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH). This position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments.

Key Responsibilities
  • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records.
  • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as organ-transplant and COVID-19 patient data. 
  • Build and optimize deep learning tools for deployment on Android/iOS/Web-based platforms.
Required Skills and Experience
  • Ph.D. in a relevant field, or M.S. with 3+ years, or B.S. with 5+ years of relevant experience in image analysis and deep learning.
  • Proven experience writing manuscripts or papers for journals and conferences.
  • Extensive experience with medical image processing, data analysis, and classification techniques.
  • Expertise in developing custom deep learning workflows, including visualizing activations.
  • Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs).
  • Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM.
  • Experience in statistical analysis of experimental results.
  • Familiarity with Linux and Windows environments.
  • Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks.
  • Expertise in programming with Python, Keras, and PyTorch.
  • Experience in developing Android, iOS, or web applications is a plus.
Required Professional and Personal Qualities
  • Strong organizational and time management skills, with flexibility to adapt to shifting priorities.
  • Ability to write clean, efficient, and well-documented code.
  • Excellent interpersonal skills, with the ability to both collaborate and work independently.
  • Strong oral and written communication skills, with the ability to clearly document projects and provide regular status reports.
  • Highly detail-oriented with the ability to manage multiple tasks and deliver results in a timely manner.
Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. 

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