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Pytorch Developer Jobs in California (NOW HIRING)

Accellor

AI Engineers

San Francisco, CA · On-site

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX ... Strong programming experience in Python . * Good understanding of data structures, algorithms ...

Accellor

AI Engineers

Mountain View, CA

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX ... Strong programming experience in Python . * Good understanding of data structures, algorithms ...

Accellor

AI Engineers

Mountain View, CA · On-site

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX ... Strong programming experience in Python . * Good understanding of data structures, algorithms ...

Accellor

AI Engineers

Mountain View, CA · On-site

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX ... Strong programming experience in Python . * Good understanding of data structures, algorithms ...

Accellor

AI Engineers

San Francisco, CA · On-site

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX ... Strong programming experience in Python . * Good understanding of data structures, algorithms ...

Accellor

AI Engineers

San Francisco, CA · On-site

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX ... Strong programming experience in Python . * Good understanding of data structures, algorithms ...

Nvidia

Senior Software Engineer, AI Networking

Santa Clara, CA · On-site

$143K - $189K/yr

Knowledge in PyTorch, CUDA, and NCCL libraries. * Proven software engineering/development skills ... With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of ...

Programmers.io

Python + ML

Sunnyvale, CA · On-site

$59 - $81.25/hr

... programming Python and API's. • Excellent expertise in AI/ML Technologies • Excellent expertise in Numpy, Pandas, SciPy • Excellent expertise in Tensor Flow, PyTorch • Experience in ...

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Aptino

AI Engineer / Developer

Santa Clara, CA · On-site

$133K - $160K/yr

... Developer Role Overview We are looking for an AI Data Engineer / Developer to design, build, and ... Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) * Knowledge of LLM ecosystems ...

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All JobsPytorch Developer JobsPytorch Developer Jobs in California

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.
AI Platform Support Engineer (US)

AI Platform Support Engineer (US)

Lightning AI

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Who We Are
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
What We're Looking For
Lightning AI is looking to hire an AI Platform Support Engineer to join our US Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments.
This role sits at the intersection of ML systems, cloud infrastructure, Kubernetes, and customers. You'll support engineers training models, deploying inference systems, and scaling GPU workloads in production.You are not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.
The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You'll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications.
What You'll Do
Work Directly With ML Engineers
  • Partner directly with customer engineering teams running training and inference workloads in production
  • Help customers diagnose and resolve complex distributed systems and ML infrastructure issues
  • Act as a technical advisor during high impact incidents and platform degradation events
  • Translate infrastructure level issues into actionable guidance for ML engineers
  • Build credibility with customers through strong technical reasoning and clear communication

Debug ML Infrastructure & Distributed Workloads
  • Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems
  • Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues
  • Analyze logs, metrics, traces, and system behavior to isolate root causes
  • Debug containerized workloads running across Kubernetes and bare metal GPU environments
  • Support customers scaling workloads across multi node GPU systems
  • Diagnose performance bottlenecks involving compute, memory, networking, or storage

Improve Reliability & Platform Operations
  • Identify recurring patterns across customer issues and drive long term reliability improvements
  • Contribute to post incident reviews and operational improvements
  • Build internal tooling, automation, documentation, and runbooks
  • Partner closely with infrastructure, networking, and platform engineering teams
  • Help improve observability, operational visibility, and troubleshooting workflows
  • Improve the customer experience through better processes and technical guidance

What This Role Is Not
To set clear expectations:
  • This is not a traditional help desk or ticket routing support role
  • This is not purely customer success or account management
  • This is not a backend engineering role
  • This is not a passive escalation position

This role is for engineers who enjoy solving difficult technical problems while working closely with other engineers.
What You'll Need
Required Qualifications
Infrastructure & Systems
  • Strong software engineering and systems troubleshooting background
  • Experience with Kubernetes and containerized environments
  • Linux systems knowledge, including networking, storage, process management, and performance tuning
  • Experience with cloud infrastructure and distributed systems
  • Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry
ML Infrastructure Experience
  • Hands on experience operating machine learning workloads in production or research environments
  • Experience with distributed ML systems and tooling such as PyTorch, CUDA, or NCCL
  • Familiarity with GPU infrastructure and orchestration
  • Experience troubleshooting performance, reliability, or scaling issues in ML infrastructure
  • Understanding of the operational challenges involved in running ML systems at scale
Collaboration
  • Strong communication skills and ability to work directly with highly technical customers and engineering teams
  • Comfortable operating in fast moving, highly ambiguous environments
  • Enjoys solving complex technical problems collaboratively
Ideal Experience
  • Experience with large scale model training or distributed inference systems
  • Familiarity with Ray, Kubeflow, Slurm, or similar distributed scheduling platforms
  • Experience with InfiniBand, RDMA, or high-performance networking
  • Experience operating bare metal infrastructure
  • Familiarity with storage systems commonly used in ML environments
  • Experience working at an AI infrastructure, cloud, MLOps, or developer tooling company
  • Contributions to platform engineering, developer infrastructure, or operational tooling projects
  • Experience writing automation, tooling, or scripts in Python or similar languages

This role is hybrid out of our Seattle or San Francisco offices, with an in-office requirement of at least 2 days per week and occasional team and company offsites. The role follows a Monday-Friday schedule, with working hours from 8:00 AM to 5:00 PM PST. We are not able to provide visa sponsorship for this role at this time.
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
The anticipated annual base salary range for this role is:
$115,000-$140,000 USD
Benefits and Perks
We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success. Benefits may vary by location, team, and role.
Benefits include:
  • Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
  • Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
  • Generous paid time off, plus holidays
  • Paid parental leave
  • Professional development support
  • Wellness and work-from-home stipends
  • Flexible work environment

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

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