Pytorch Software Engineer information
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$63.5K - $76.4K
2% of jobs
$76.4K - $89.3K
4% of jobs
$89.3K - $102.2K
6% of jobs
$102.2K - $115.1K
8% of jobs
$122.1K is the 25th percentile. Wages below this are outliers.
$115.1K - $128K
7% of jobs
The median wage is $144K / yr.
$141K - $153.9K
16% of jobs
$153.9K - $166.8K
2% of jobs
$172.1K is the 75th percentile. Wages above this are outliers.
$166.8K - $179.7K
26% of jobs
$179.7K - $192.6K
1% of jobs
$192.6K - $205.5K
8% of jobs
How much do pytorch software engineer jobs pay per year?
As of Sep 14, 2026, the average yearly pay for pytorch 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.
A PyTorch Software Engineer is a software developer who specializes in building and optimizing machine learning and deep learning models using PyTorch, a popular open-source machine learning framework. Their responsibilities often include developing and maintaining AI models, integrating PyTorch solutions into larger systems, optimizing model performance, and collaborating with data scientists and researchers. They may also contribute to open-source PyTorch code and stay updated on the latest advancements in the field. Proficiency in Python, understanding of neural networks, and experience with PyTorch libraries are essential skills for this role.
To thrive as a PyTorch Software Engineer, you need a strong background in computer science, deep learning, and proficiency in Python, often supported by a relevant degree or equivalent experience. Familiarity with machine learning frameworks such as PyTorch, version control systems like Git, and experience with cloud platforms or GPU computing are typically required. Strong problem-solving abilities, collaboration, and effective communication help you work well within interdisciplinary teams and adapt to evolving project needs. These skills ensure efficient implementation of machine learning solutions, high-quality code, and successful project delivery in fast-paced AI environments.
PyTorch Software Engineers often encounter challenges such as ensuring model efficiency, managing memory usage, and maintaining inference speed when deploying deep learning models to production. Balancing model accuracy with resource constraints, especially on edge devices or in cloud environments, can be complex. Additionally, engineers must adapt research-oriented code for scalable, reliable deployment, often collaborating closely with data scientists, DevOps, and product teams to streamline workflows and resolve integration issues.
What are popular job titles related to Pytorch Software Engineer jobs?
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