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Pytorch Jobs (NOW HIRING)

Mythic

Compiler Engineer - MLIR / PyTorch Infrastructure

$110K - $144K/yr

... PyTorch and other frameworks. Responsibilities : • Architect the migration of the existing compiler flow into MLIR, defining dialects, passes, and lowering strategies. • Build conversion paths ...

Staffingine LLC

PyTorch Role/C++,Python

Bellevue, WA · On-site

PyTorch Role/C++,Python Role Job Location: Bellevue, WA Job Type: Full time * 10+ years of experience in systems/software engineering or HPC/AI development * Strong programming expertise in Python ...

Mythic

Compiler Engineer - MLIR / PyTorch Infrastructure

$110K - $144K/yr

... PyTorch and other frameworks. Responsibilities : • Architect the migration of the existing compiler flow into MLIR, defining dialects, passes, and lowering strategies. • Build conversion paths ...

Mythic

Compiler Engineer - MLIR / PyTorch Infrastructure

$110K - $144K/yr

The role involves advancing the MLIR ecosystem by architecting compiler flows and enhancing interoperability with PyTorch and other frameworks. Responsibilities : • Architect the migration of the ...

Mythic

Compiler Engineer - MLIR / PyTorch Infrastructure

$110K - $144K/yr

... PyTorch inputs are available, and guide future integration with PyTorch 2.0 compiler technologies (TorchInductor, TorchDynamo, Torch-MLIR) Qualifications : Required : • 3+ years of experience in ...

Mercor

PyTorch MLOps Engineer - AI Specialist

New York, NY · Remote

$70 - $110/hr

PyTorch Expert Type: Contract Compensation: $70-$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve ...

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How much do pytorch jobs pay per year?

As of Aug 7, 2026, the average yearly pay for pytorch in the United States is $144,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $176,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

More about Pytorch jobs
What cities are hiring for Pytorch jobs? Cities with the most Pytorch job openings:
What are the most commonly searched types of Pytorch jobs? The most popular types of Pytorch jobs are:
What states have the most Pytorch jobs? States with the most job openings for Pytorch jobs include:
What job categories do people searching Pytorch jobs look for? The top searched job categories for Pytorch jobs are:
Pytorch jobs near you
Infographic showing various Pytorch job openings in the United States as of August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $144,320 per year, or $69.4 per hour.

Compiler Engineer - MLIR / PyTorch Infrastructure

Mythic

Remote

$110K - $144K/yr

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Mythic is building the future of AI computing with innovative analog technology that significantly outperforms traditional digital systems. The Compiler Engineer will advance the MLIR ecosystem by extending existing high-level dialects and designing a new hardware-aware low-level dialect, working closely with hardware engineers and ML developers to enhance interoperability with PyTorch and other frameworks.
Responsibilities:
• Architect the migration of the existing compiler flow into MLIR, defining dialects, passes, and lowering strategies.
• Build conversion paths between MLIR and Mythic’s custom low-level IR to keep both flows operational during migration.
• Define validation infrastructure within MLIR, including interpretation or execution paths for simulation and debugging.
• Enable compilation by extending MLIR integration across analog accelerators and digital subsystems.
• Leverage Torch-MLIR where PyTorch inputs are available, and guide future integration with PyTorch 2.0 compiler technologies (TorchInductor, TorchDynamo, Torch-MLIR)
Qualifications:
Required:
• 3+ years of experience in compiler or high-performance systems development.
• Proficiency in modern C++ (C++14/17/20) and Python.
• Direct, hands-on experience with MLIR, including dialect design, compiler passes, or lowering pipelines.
• Strong understanding of compiler IRs and transformations, with the ability to reason about lowering from high-level ops to hardware-aware representations.
Preferred:
• Experience architecting complete MLIR flows: from frontend dialects down to hardware-aware dialects, including conversion to and from existing IRs.
• Familiarity with PyTorch compiler technologies, especially Torch-MLIR and integration paths with PyTorch 2.0 (TorchDynamo, TorchInductor).
• Knowledge of dataflow architectures, scheduling, and memory orchestration.
• Background in heterogeneous or specialized accelerators (e.g., analog compute, NPUs, GPUs, DSPs).
Company:
Mythic develops analog matrix processors and key cards based on analog compute-in-memory. Founded in 2012, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Early Stage.

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