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Net Framework Jobs in California (NOW HIRING)

TriOptus LLC

Application Developer

San Jose, CA · On-site

Entity Framework and LINQ); • Development experience with Web Services (RESTful, SOAP) • Ability to automate unit test cases for both Angular & .Net. • Familiarity with build & deploy scripts ...

1 point system

.Net Azure Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

Familiarity with AI/ML frameworks and tools such as Infer.NET and ML.NET. * Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent. * Soft Skills: Strong ...

1 point system

Azure .NET Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

Familiarity with AI/ML frameworks and tools such as Infer.NET and ML.NET. * Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent. * Soft Skills: Strong ...

TEKFORTUNE INC

Solution Architect

San Francisco, CA · On-site

$74.25 - $97.75/hr

... ML frameworks and tools such as Infer.NET and ML.NET. • Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent. • Strong communication skills to ...

Staffingine LLC

Software Engineer

Mountain View, CA · On-site

$45 - $50/hr

PowerShell * Net Core * SpringBoot, * Azure DevOps * Azure Functions * Terraform, Azure Logic Apps * Azure Monitor * Azure Service Bus * Azure SQL * Gitlab, C#,.Net Framework ,Azure Cloud ...

Jobsbridge

Dot Net Developer

San Diego, CA

$51.25 - $67.75/hr

Microsoft Entity Framework accessing the data, Relational Databases (SQL, Oracle, MySQL, etc.), NoSQL Technologies (Hadoop, Mongo, etc.) Be able to describe the above in a logical software stack ...

West Advanced Technologies (WATI)

.Net Developer

Downey, CA · On-site

$49.50 - $65.25/hr

Entity Framework - ORM (Object Relational Model) Framework e. Microsoft Visual Studio Two (2) years of experience within the last three (3) years Developing Cloud based applications in Azure. a.

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Net Framework information

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$14

$53

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How much do net framework jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for net framework in California is $53.03, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $60.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a .NET Framework developer?

To thrive as a .NET Framework Developer, you need strong programming skills in C# or VB.NET, a solid understanding of object-oriented design, and a relevant degree in computer science or a related field. Familiarity with Visual Studio, SQL Server, and source control systems like Git is typically required, along with knowledge of relevant Microsoft certifications such as MCSA or MCSD. Problem-solving ability, attention to detail, and effective communication are crucial soft skills for collaborating with teams and translating requirements into robust applications. These competencies are essential for building reliable, scalable software solutions and ensuring successful project delivery in a dynamic development environment.

What is .NET Framework?

.NET Framework is a software development platform developed by Microsoft that provides tools and libraries for building and running Windows applications. It includes a large class library known as the Framework Class Library (FCL) and supports language interoperability across several programming languages. The .NET Framework is commonly used for creating desktop applications, web services, and enterprise-level solutions. It also provides features for memory management, security, and exception handling, making it easier for developers to build robust applications.

What are some common challenges developers face when working with .NET Framework in a team environment?

Developers working with .NET Framework in a team setting often encounter challenges such as managing different versions of the framework across multiple projects, ensuring consistent code standards, and integrating legacy systems with newer technologies. Effective communication and the use of version control systems become essential to coordinate work and prevent conflicts. Additionally, teams may need to spend time on performance optimization and debugging, especially when dealing with large-scale enterprise applications.

What is the difference between Net Framework vs ASP.NET Developer?

AspectNet FrameworkASP.NET Developer
Required CredentialsProficiency in .NET technologies, certifications like Microsoft Certified: .NET DeveloperSame as Net Framework, with additional focus on web development skills
Work EnvironmentDevelops and maintains applications using .NET framework across various industriesSpecializes in building web applications using ASP.NET within the .NET ecosystem
Employer & Industry UsageUsed by companies developing desktop, web, and enterprise applicationsPrimarily employed in organizations creating web-based solutions
Search & Comparison IntentUnderstanding core .NET development tools and frameworksFocusing on web application development within the .NET environment

Net Framework is a broad software development platform for building various applications, while ASP.NET Developer specializes in creating web applications using the ASP.NET framework within the .NET ecosystem. Both roles require similar credentials but differ in their focus areas and work environments.

What are popular job titles related to Net Framework jobs in California? For Net Framework jobs in California, the most frequently searched job titles are:
What job categories do people searching Net Framework jobs in California look for? The top searched job categories for Net Framework jobs in California are:
Net Framework jobs near you
Infographic showing various Net Framework job openings in California as of August 2026, with employment types broken down into 54% Full Time, 23% Part Time, and 23% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $110,297 per year, or $53 per hour.

Applied Machine Learning Engineer

Inference

San Francisco, CA • On-site

$220K - $320K/yr

Full-time

Re-posted 2 days ago

Job description

Help us build the systems that train specialized AI models for the fastest-growing companies in the world. If you love taking cutting-edge ML techniques and turning them into products that ship, we'd love to meet you.
About Inference.net
Inference.net trains and hosts specialized language models for companies who want frontier-quality AI at a fraction of the cost. The models we train match GPT-5 accuracy but are smaller, faster, and up to 90% cheaper. Our platform handles everything end-to-end: distillation, training, evaluation, and planet-scale hosting.
We are a well-funded ten-person team of engineers who work in-person in downtown San Francisco on difficult, high-impact engineering problems. Everyone on the team has been writing code for over 10 years, and has founded and run their own software companies. We are high-agency, adaptable, and collaborative. We value creativity alongside technical prowess and humility. We work hard, and deeply enjoy the work that we do. Most of us are in the office 4 days a week in SF; hybrid works for Bay Area candidates.
About the Role
You will be responsible for building and improving the core ML systems that power our custom model training platform, while also applying these systems directly for customers. Your role sits at the intersection of applied research and production engineering. You'll lead projects from data intake to trained model, building the infrastructure and tooling along the way.
Your north star is model quality at scale, measured by how well our custom models match frontier performance, how efficiently we can train and serve them, and how smoothly we can deliver results to our customers. You'll own the full training lifecycle: processing data, creating dashboards for visibility, training models using our frameworks, running evaluations, and shipping results. This role reports directly to the founding team. You'll have the autonomy, a large compute budget / GPU reservation, and technical support to push the boundaries of what's possible in custom model training.
Key Responsibilities
  • Lead projects from from data intake through the full training pipeline, including processing, cleaning, and preparing datasets for model training
  • Build and maintain data processing pipelines for aggregating, transforming, and validating training data
  • Create dashboards and visualization tools to display training metrics, data quality, and model performance
  • Train models using our internal frameworks and iterate based on evaluation results
  • Develop robust benchmarks and evaluation frameworks that ensure custom models match or exceed frontier performance
  • Build systems to automate portions of the training workflow, reducing manual intervention and improving consistency
  • Take research features and ship them into production settings
  • Apply the latest techniques in SFT, RL, and model optimization to improve training quality and efficiency
  • Collaborate with infrastructure engineers to scale training across our GPU fleet
  • Deeply understand customer use cases to inform training strategies and surface edge cases

Requirements
  • 2+ years of experience training AI models using PyTorch
  • Hands-on experience with post-training LLMs using SFT or RL
  • Strong understanding of transformer architectures and how they're trained
  • Experience with LLM-specific training frameworks (e.g., Hugging Face Transformers, DeepSpeed, Axolotl, or similar)
  • Experience training on NVIDIA GPUs
  • Strong data processing skills and comfortable building ETL pipelines and working with large datasets
  • Track record of creating benchmarks and evaluations
  • Ability to take research techniques and apply them to production systems

Nice-to-Have
  • Experience with model distillation or knowledge transfer
  • Experience building dashboards and data visualization tools
  • Familiarity with vision encoders and multimodal models
  • Experience with distributed training at scale
  • Contributions to open-source ML projects

You don't need to tick every box. Curiosity and the ability to learn quickly matter more.
Compensation
We offer competitive compensation, equity in a high-growth startup, and comprehensive benefits. The base salary range for this role is $220,000 - $320,000, plus equity and benefits, depending on experience.
Equal Opportunity
Inference.net is an equal opportunity employer. We welcome applicants from all backgrounds and don't discriminate based on race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you're excited about building the future of custom AI infrastructure, we'd love to hear from you. Please send your resume and GitHub to amar@inference.net and/or apply here on Ashby.

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