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Dnn Developer Jobs (NOW HIRING)

Sr. UI/ UX Developer

Detroit, MI · On-site

$59.50 - $77/hr

... DNN, Joomla or Drupal • Social media integration tools and platforms • NoSQL Databases • ... programming techniques and experience mentoring less senior developers. 6. Experience in a formal ...

Sr. UI/ UX Developer

Detroit, MI · Hybrid

$59.50 - $77/hr

... such as DNN, Joomla or Drupal Social media integration tools and platforms NoSQL Databases ... programming techniques and experience mentoring less senior developers. 6. Experience in a formal ...

Website Developer

San Bernardino, CA · On-site

$80K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

WordPress, DNN, Drupal, etc.) * HTML/CSS * JavaScript ** Qualifying degrees and coursework must be conferred by institutions accredited by an accrediting body recognized by the U.S. Department of ...

Showing results 21-40

Dnn Developer information

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$39.5K

$111K

$182.5K

How much do dnn developer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for dnn developer in the United States is $110,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $135,500.00 per year, depending on experience, location, and employer.

What is the difference between Dnn Developer vs WordPress Developer?

AspectDnn DeveloperWordPress Developer
Required CredentialsKnowledge of DNN platform, HTML, CSS, C#, SQLKnowledge of WordPress, PHP, HTML, CSS, JavaScript
Work EnvironmentTypically in enterprise or custom CMS projectsOften in small to medium websites, blogs, e-commerce
Industry UsageUsed in organizations with DNN-based solutionsWidely used across various industries for website development
Common Search IntentComparing Dnn Developer roles with similar CMS developersLooking for differences between CMS developers

Both Dnn Developers and WordPress Developers work with content management systems, but they specialize in different platforms. Dnn Developers focus on the DNN platform, often in enterprise environments, while WordPress Developers work with WordPress, which is more common for small to medium websites. Understanding these differences helps employers and job seekers find the right fit for their project needs.

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

To thrive as a DNN Developer, you need strong skills in ASP.NET, C#, web development, and experience with the DotNetNuke (DNN) platform, typically supported by a degree in computer science or a related field. Proficiency with Visual Studio, SQL Server, version control systems (like Git), and familiarity with DNN modules and skinning techniques is crucial. Excellent problem-solving, communication, and collaboration skills help developers understand client needs and work effectively with teams. These competencies ensure robust, scalable, and user-friendly DNN solutions that meet business requirements.

What is a DNN developer?

DNN Developers are professionals who specialize in creating, customizing, and maintaining websites and web applications using the DNN (DotNetNuke) platform. DNN is a content management system (CMS) built on Microsoft’s .NET framework, commonly used for building dynamic and scalable web solutions. DNN Developers typically work on tasks such as module development, theme design, integration with third-party tools, and performance optimization. Their expertise ensures that websites built on DNN are secure, user-friendly, and tailored to specific business needs.

What are some common challenges DNN developers face when managing and upgrading DotNetNuke (DNN) sites?

DNN Developers often encounter challenges related to module compatibility and version conflicts when upgrading DNN sites, especially if custom or third-party modules are involved. Ensuring site stability and minimizing downtime during upgrades requires thorough testing in staging environments. Additionally, maintaining security best practices while integrating new features demands staying updated on DNN patches and community recommendations. Effective collaboration with designers and content managers is also essential to ensure seamless content updates and user experiences.
More about Dnn Developer jobs
Infographic showing various Dnn Developer job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $110,988 per year, or $53.4 per hour.

Senior Software Engineer - Autonomous Driving

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 21 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

Our Automotive Platform Team is building the software foundation for scalable, high-performance vehicle computing platforms that power autonomous driving, ADAS, digital cockpit, and centralized vehicle architectures. We are looking for exceptional engineers who thrive on solving deeply complex system-level challenges and shaping the future of automotive computing.
We are seeking a Senior Software Engineer for next-generation innovations in automotive platform performance, AI model optimization, scalability, and system architecture! In this highly visible technical leadership role, you will drive architecture, optimization, and execution across the autonomous driving software stack, with a focus on optimizing and deployment of deep neural networks that are fast, efficient, reliable, and deployable on NVIDIA automotive compute platforms. You will work at the intersection of core platform, deep learning inference, TensorRT and related compiler/runtime technologies, CUDA/GPU performance, model compression, platform software, and safety-aware automotive deployment.
What you'll be doing:
  • Lead architecture and technical strategy for optimizing inference workloads in autonomous driving applications.
  • Drive end-to-end performance analysis across DNN models, TensorRT/compiler flows, CUDA kernels, memory behavior, scheduling, runtime services, and automotive platform constraints.
  • Develop and guide model optimization techniques such as quantization, pruning, distillation, graph optimization, operator fusion, kernel selection, and layout/memory optimization.
  • Collaborate with TensorRT, CUDA, compiler, silicon architecture, perception, planning, DriveOS and safety platform teams.
  • Build tools, methodologies, and metrics for profiling, benchmarking, debugging, and validating model and platform performance.

What we need to see:
  • BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
  • 12+ years of software engineering experience in systems software, AI/ML infrastructure, deep learning inference, compiler/runtime technology, or platform performance.
  • Strong C/C++ and practical Python experience.
  • Deep familiarity with TensorRT, TensorRT-LLM, ONNX, PyTorch, CUDA, Triton, or related frameworks.
  • Experience optimizing DNN models for latency, throughput, memory footprint, and power.

Ways to stand out from the crowd:
  • Hands-on experience with TensorRT internals, CUDA kernels, Triton kernels, or other compiler/runtime technologies.
  • Experience deploying optimized DNNs, LLMs, VLMs, or perception models on embedded, edge, robotics, or automotive platforms.
  • Background in autonomous driving, ADAS, robotics, real-time systems, safety-aware software, or deterministic low-latency systems.
  • Experience with ISO 26262, QNX, Safe RTOS, DriveOS, Linux, hypervisors, or virtualization.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 30, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993