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Pytorch Jobs (NOW HIRING)

Saransh Inc

Agentic AI Developer

Jersey City, NJ · On-site

AI enabled chatbot Langchain TensorFlow Java PyTorch RASA Python AI Experience: 10-14 yrs Required Skills: • Proven experience in developing AI agents, chatbots, or conversational AI systems. • ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and ...

Purple Drive Technologies

Data Scientist

Plano, TX · On-site

Apply machine learning algorithms using libraries such as Scikit-learn, TensorFlow, or PyTorch . * Evaluate model performance and tune hyperparameters for improved accuracy. Visualization & Reporting

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python language Core ...

CosQube INC

ML/AI Engineers

Santa Clara, CA · On-site

Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch) Mandatory: Kubernetes experience and cloud-native development practices Required Skills & Experience • Primary Technologies:

Nvidia

Senior Software Engineer, AI Networking

Seattle, WA

$139K - $183K/yr

Develop and deploy a scalable, reliable data curation pipeline capable of handling complex data types, such as time series and PyTorch model graphs, to effectively support the training of high ...

Quest Global

Data AI/ML Engineer

Sunnyvale, CA · On-site

Python, TensorFlow, PyTorch, scikit-learn * ML pipelines and data processing systems. * ML models What you will bring: * Expert-level proficiency in Python is standard * In-depth knowledge of ML ...

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$144.3K

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How much do pytorch jobs pay per year?

As of Jun 6, 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 May 2026, with employment types broken down into 1% Internship, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $144,320 per year, or $69.4 per hour.

Kernel Development Engineer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 23 days ago

Job description

Job Title: Senior GPU Software Engineer - PyTorch / Triton (Kernel Development)
Location: Remote
Job Description:
Role Summary
We are seeking expert-level GPU software engineers to support a high-visibility platform initiative within the Maya program, focused on building software tooling on top of a custom compiler and SDK.
The role involves developing, optimizing, and porting GPU kernels and AI workloads to a specialized hardware platform.
This is a critical and time-sensitive engagement with immediate onboarding expectations and long-term roadmap alignment (~18 months).
Key Responsibilities
Develop GPU kernels for specialized hardware platforms using PyTorch/Triton frameworks
Build software solutions leveraging custom compiler and SDK capabilities
Design and implement kernel-level optimizations to control hardware execution behavior
Port open-source AI/ML models to custom SDK environments
Develop stress testing and validation workloads aligned to hardware behaviour and platform validation
Support testing and stress testing of current and next-generation hardware platforms
Collaborate closely with platform architects and compiler teams to enhance system capabilities
Core Technical Skills (Must-Have)
Programming & Frameworks
Python
C/C++ (systems-level programming)
PyTorch
Triton (Triton language / kernel development)
GPU & Systems Expertise
GPU kernel development (mandatory and critical)
Strong understanding of GPU architecture and compute optimization
Experience with compiler-based optimizations / runtime execution layers
Experience with custom SDKs or hardware abstraction layers
Performance & Workloads
Experience in:
GEMM kernel development (matrix multiplication kernels)
Porting ML models to new hardware platforms
Performance tuning and stress testing at system level

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