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Pytorch Developer Jobs in Santa Cruz, CA (NOW HIRING)

Senior GenAI Engineer (Python)

Palo Alto, CA · On-site

$142K - $192K/yr

As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable ... Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.

ML Infrastructure Engineer

Palo Alto, CA · On-site

$180K - $440K/yr

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the ... Deep familiarity with modern ML frameworks such as JAX or PyTorch * Low-level understanding of ...

Senior Forward Deployed Engineer

San Jose, CA · On-site +1

$122K - $168K/yr

Design and implement AI-backed services and APIs in Python using PyTorch or similar frameworks ... What You Bring: * 8+ years of software engineering experience with 2+ years working with ML/AI or ...

Senior Customer Facing Applied AI Engineer

San Jose, CA · On-site +1

$122K - $168K/yr

Design and implement AI-backed services and APIs in Python using PyTorch or similar frameworks ... Strong programming skills in Python , including hands-on work with PyTorch or similar frameworks ...

Lead Forward Deployed Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Design and implement AI-backed services and APIs in Python using PyTorch or similar frameworks ... What You Bring: * 8+ years of software engineering experience with 2+ years working with ML/AI or ...

Showing results 21-40

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 Santa Cruz, CA? For Pytorch Developer jobs in Santa Cruz, CA, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Santa Cruz, CA look for? The top searched job categories for Pytorch Developer jobs in Santa Cruz, CA are:
What cities near Santa Cruz, CA are hiring for Pytorch Developer jobs? Cities near Santa Cruz, CA with the most Pytorch Developer job openings:

$114K - $213K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

The Cadence Digital and Signoff Group Machine Learning team is a high-energy engineering team focused on exploring and implementing deep machine learning techniques and agentic frameworks for Electronic Design Automation (EDA) tools. The team works at the intersection of advanced AI research, optimization, and production-grade software development to help solve complex challenges in digital design and signoff.

Position Overview

We are looking for exceptional individuals with strong skills in machine learning, deep learning algorithms, and application development. The ideal candidate is a collaborative team player with excellent communication skills, equally comfortable discussing deep learning research and building APIs for innovative software. This role requires a strong software engineering foundation and a passion for applying ML/DL techniques to EDA and system design problems.

Primary Responsibilities

  • Design and implement gradient-based and gradient-free optimization algorithms for complex EDA and system design challenges.
  • Research, prototype, and develop machine learning and deep learning approaches that improve EDA tool capabilities, performance, and usability.
  • Design, implement, verify, and maintain high-quality software for digital design and signoff markets.
  • Develop APIs and software components that integrate machine learning models, agentic AI workflows, and optimization techniques into production tools.
  • Work in Linux-based development environments using Python, C/C++, and modern ML/DL frameworks such as PyTorch.
  • Collaborate with worldwide cross-functional teams across research, engineering, product, and customer-facing organizations.
  • Translate deep learning research concepts into scalable, maintainable software solutions for real-world engineering workflows.

Required Qualifications

  • Strong software engineering background with hands-on experience designing, developing, verifying, and maintaining production-quality software.
  • Proficiency in Python and C/C++ development.
  • Experience working in Linux-based development environments.
  • Solid understanding of machine learning and deep learning algorithms.
  • Hands-on experience with ML/DL frameworks such as PyTorch.
  • Experience or strong interest in agentic AI, LLM-based workflows, and agentic frameworks.
  • Ability to design and implement APIs for innovative software systems.
  • Excellent communication skills and the ability to collaborate effectively in a global, cross-functional team environment.

Preferred Qualifications

  • Understanding of VLSI design, EDA flows, or digital implementation and signoff concepts.
  • Experience with design space exploration, optimization methods, or performance-driven engineering workflows.
  • Knowledge of basic probability theory and statistical modeling concepts.
  • Exposure to applying machine learning techniques to chip design, system design, or other complex engineering domains.
  • Ability to evaluate deep learning research and apply relevant concepts to practical software development problems.

What We Value

We value candidates who combine technical depth with practical execution. Successful team members are curious, collaborative, and able to move fluidly between research-oriented discussions and hands-on software delivery. The ability to communicate clearly, work productively with global teams, and build reliable software that advances next-generation EDA tools is essential.

The annual salary range for California is $114,800 to $213,200. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

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