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Pytorch Developer Jobs in California (NOW HIRING)

MatchPoint Solutions

Embedded AI Engineer

Sunnyvale, CA · On-site

$156K - $206K/yr

Key Responsibilities: • Validate PyTorch-based LLMs on company-specific AI processors using CUDA ... with CUDA programming and PyTorch framework • In-depth knowledge of deep learning models ...

Yantran LLC

Senior Python Engineer

Mountain View, CA · On-site

$142K - $191K/yr

Job Title: Senior Python Engineer Location: Sunnyvale, CA Role Overview We are seeking a highly ... Experience with PyTorch, HF Transformers is optional. Ability to communicate thoughts and ideas and ...

CYNET SYSTEMS

Java AI Developer

Palo Alto, CA · On-site

$53 - $57/hr

Seeking a Java AI Developer with strong programming skills and experience in cloud services to ... Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience with generative AI tools (e ...

Apply Early

Ova Technologies

Job Title:Python Developer

Encino, CA · On-site

$52.75 - $72.50/hr

Python Developer Location: CA Job Type: Full time Experience Level: Senior About the Role We are ... PyTorch). * Understanding of front-end frameworks (React, Angular, Vue.js) is a plus. What We Offer

Qualcomm

Sr. AI Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Qualcomm Technologies, Inc. is seeking a skilled and motivated AI Model Training Engineer to join ... PyTorch, onnxruntime or Hugging Face Transformers. • Proficient in Python and familiar with ML ...

Akraya

Python Developer:

Fremont, CA · On-site

$50 - $55/hr

Python-Advanced, REST APIs-Intermediate, AI/ML- Expert, Pytorch/Jax-Intermediate Contract Type: W2 and C2C Location: Fremont, CA (5 Days onsite) Duration:6+ months (Possible Extension) Pay Range:$50 ...

Toyon

Deep Learning Algorithm Developer

Goleta, CA

$120K - $200K/yr

Toyon has openings for researchers and developers to solve challenging real-world problems using ... Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced ...

Apple

Senior Machine Learning Engineer, AI, SIML

Cupertino, CA · On-site

$154K - $213K/yr

We are especially looking for PyTorch-focused ML experts driving system-level efficiency from on ... Strong Python programming skills. Solid understanding of software-hardware co-design principles and ...

NVIDIA

Senior MLOps Engineer, GenAI Framework

Santa Clara, CA · On-site

$152K - $196K/yr

... scalable DevOps solutions to optimize performance and enhance software release processes ... PyTorch) teams and with other engineering teams within NVIDIA that provide software, testing, and ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in California? For Pytorch Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in California look for? The top searched job categories for Pytorch Developer jobs in California are:
What cities in California are hiring for Pytorch Developer jobs? Cities in California with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in California as of June 2026, with employment types broken down into 84% Full Time, 4% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Senior Software Engineer (MLOps / Developer Tools)

HRC Global Services

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Posted 18 days ago

Be an early applicant

Job description

Job Title: Senior Software Engineer (MLOps / Developer Tools)

San Francisco, CA (Onsite | No Remote)
Full-Time | Direct Hire
Visa Sponsorship Available (H1B and other visas supported)
Bachelor’s Degree required (Computer Science preferred)
Relocation Support: Negotiable

 Role Overview

As a Senior Software Engineer, you will work on core developer-facing infrastructure that processes code and runtime signals at scale. The work blends systems engineering, backend architecture, and ML-adjacent data processing to deliver high-signal insights for developers.

You will design and build systems that ingest and analyze execution traces, test artifacts, and runtime behavior, then surface actionable results through APIs, tooling, and product workflows.

This is a highly impactful role working directly with the founders and early engineers.

Key Responsibilities

  • Own major components of the core engine analyzing and validating software behavior across large codebases

  • Design and build scalable services to collect, process, and store runtime artifacts (execution traces, test results, performance signals)

  • Build developer-facing tooling including APIs, CLI tools, and UI workflows

  • Collaborate directly with founders on architecture, technical strategy, and roadmap planning

  • Work with early design partners and customers to translate engineering pain points into real product features

  • Deliver high-quality production-ready systems with reliability and low latency

Required Qualifications

  • 2–8 years of software engineering experience (backend/systems/infrastructure/developer tools)

  • Strong programming ability in Python (and/or Rust/Go/other backend languages)

  • Hands-on experience with modern ML tooling such as:

    • PyTorch

    • JAX

    • MLOps pipelines

  • Experience working with large codebases, CI/testing frameworks, observability, or runtime reliability

  • Strong system design skills and ability to build scalable services

  • Ability to operate independently in a fast-moving startup environment

  • Strong ownership mindset: take ambiguous problems → design solution → ship iteratively

Preferred / Nice-to-Have

  • Experience with static analysis, dynamic analysis, fuzzing, runtime validation, or property-based testing

  • Experience building developer tools: IDE plugins, CI/CD tooling, debuggers, profilers, test frameworks

  • Exposure to ML-enabled developer tools (even if not an ML specialist)

  • Practical experience tuning modern ML architectures (sequence models, efficiency techniques, inference optimization)

Work Setup

  • Onsite in San Francisco (Monday–Friday)

  • High-collaboration environment with direct access to founders

  • Small team, high autonomy, high ownership

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