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Senior Software Developer Ai Trainer Jobs in Renton, WA

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA · On-site

$137.20K - $180.90K/yr

We are currently seeking a Senior Software Engineer to lead the development of AI software ... Hands-on experience in training models or working with model training teams. * Hands-on experience ...

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA · On-site

$137.20K - $180.90K/yr

We are currently seeking a Senior Software Engineer to lead the development of AI software ... Hands-on experience in training models or working with model training teams. * Hands-on experience ...

Rocket Companies

Senior Software Developer

Seattle, WA · On-site

$62 - $82/hr

Rocket Companies is seeking a Senior Software Developer for their Agentic Virtual Assistant team to lead the integration of generative AI in real estate tools. The role involves shaping technical ...

New

Boeing

Senior Software Developer

Seattle, WA · On-site

$62 - $82/hr

Senior Software Developer Company: The Boeing Company The Boeing Company is currently seeking a ... Experience with Artificial Technology (AI) technologies, frameworks, models and ensembles such as ...

Boeing

Senior Software Developer

Seattle, WA

$62 - $82/hr

Senior Software Developer Company: The Boeing Company The Boeing Company is currently seeking a ... Experience with Artificial Technology (AI) technologies, frameworks, models and ensembles such as ...

Boeing

Senior Software Developer

Seattle, WA · On-site

$62 - $82/hr

Senior Software Developer Company: The Boeing Company The Boeing Company is currently seeking a ... Experience with Artificial Technology (AI) technologies, frameworks, models and ensembles such as ...

Axon

Sr. Software Engineer I, Applied AI

Seattle, WA · On-site

$139.40K - $183.80K/yr

We're looking for a Senior Software Engineer, AI Platform to help design, build, and scale this ... Contribute to internal starter kits, training content, and templates that help other engineers and ...

Axon

Sr. Software Engineer I, Applied AI

Seattle, WA

$139.40K - $183.80K/yr

Sr SWE -AI Senior Software Engineer, AI Platform (Corporate AI Team)Team & Role Overview Axon ... Contribute to internal starter kits, training content, and templates that help other engineers and ...

Futran Tech Solutions Pvt. Ltd.

.Net Developer

Redmond, WA · On-site

$54.75 - $72.50/hr

JS, Azure Function, Semantic Kernel, Azure AI foundary, SQL & No SQL DB Job Summary: .NET C# Full stack Developer (AI experience) strong experience as Full stack Dev (C#.NET) work as Senior Software ...

Okta

Senior Software Engineer, AI

Bellevue, WA · On-site

$165K - $206K/yr

The Opportunity As a Senior Software Engineer, AI , you'll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. This role ...

DevSelect

Senior Software Developer/ReactJS

Seattle, WA · On-site

$62 - $82/hr

Senior Software Engineer/ReactJS Location: Seattle, WA - Remote Openings:5 Type: Long-Term Contract The Client is looking for an experienced Software Developer with a ReactJS background. They need to ...

Wsgr

Senior Software Developer

Seattle, WA · On-site +1

$147.05K - $198.95K/yr

Wilson Sonsini is seeking an experienced Senior Software Developer to join our Innovations team. The software developers on our team are the primary contributors to Neuron on both the frontend and ...

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Senior Software Developer Ai Trainer information

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$15

$35

$71

How much do senior software developer ai trainer jobs pay per hour?

As of May 29, 2026, the average hourly pay for senior software developer ai trainer in Renton, WA is $35.14, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $40.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Software Developer AI Trainer, and why are they important?

To thrive as a Senior Software Developer AI Trainer, you need advanced programming skills (such as Python), deep understanding of AI/ML concepts, and experience in software development, often supported by a relevant degree and industry certifications. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud computing platforms is typically required. Outstanding communication, mentoring abilities, and problem-solving skills help in effectively guiding junior developers and collaborating across teams. These skills are crucial for driving innovation, ensuring model quality, and fostering talent development within AI-focused projects.

How does a Senior Software Developer AI Trainer typically collaborate with data scientists and product teams?

As a Senior Software Developer AI Trainer, you will regularly work alongside data scientists to design, implement, and refine machine learning models. Collaboration often involves interpreting data requirements, integrating model outputs into applications, and ensuring the scalability and reliability of AI solutions. You’ll also interact with product teams to align AI features with user needs and business goals, often participating in cross-functional meetings to clarify technical constraints and prioritize development tasks. This collaborative environment encourages continuous learning and fosters innovation, making strong communication and teamwork skills essential.

What does a Senior Software Developer AI Trainer do?

A Senior Software Developer AI Trainer is responsible for designing, developing, and refining AI models by providing expert-level training data and feedback. They combine their software development expertise with knowledge of machine learning to help improve the performance, accuracy, and reliability of AI systems. This role often involves collaborating with data scientists, annotating or generating training data, evaluating AI outputs, and ensuring models align with user and business needs. Senior AI trainers also mentor junior team members and contribute to best practices in AI model development and deployment.

What is the difference between Senior Software Developer Ai Trainer vs Data Scientist?

AspectSenior Software Developer Ai TrainerData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsageDevelops AI models, trains AI systems, collaborates with data teamsAnalyzes data, builds predictive models, interprets complex datasets

While both roles require a strong technical background and experience with machine learning, the Senior Software Developer Ai Trainer focuses on developing and training AI models, often working closely with engineering teams. In contrast, Data Scientists analyze data to extract insights and build models, with a broader focus on data analysis and interpretation. Both roles are vital in AI-driven industries but serve different functions within the AI development lifecycle.

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Senior Software Developer Ai Trainer jobs near you
Senior Software Engineer, AI Resiliency

Senior Software Engineer, AI Resiliency

Nvidia

Redmond, WA • On-site

$137.20K - $180.90K/yr

Full-time

Posted 11 days ago

Job description

We are now looking for a Senior Software Engineer for AI Resiliency!

At NVIDIA, we are pushing the boundaries of what's possible in AI. We are currently seeking a Senior Software Engineer to lead the development of AI software resiliency for the most powerful AI supercomputers in the world. As a member of our AI Software Resiliency team, you will play a pivotal role in defining and implementing critical resiliency features for AI supercomputers at a scale of 100,000+ GPUs. Your expertise will be crucial in driving down cluster downtime towards zero, ensuring that our AI systems remain robust and reliable at all times.

What You'll Be Doing:

  • Develop AI Software Resiliency Features: Implement and optimize software features that improve AI system reliability at a massive scale, such as fast checkpoint-recovery, error detection, error isolation, and straggler/hang detection.

  • Hands-On Coding & Optimization: Contribute to large-scale distributed systems with high-quality, production-level C++ and Python code. Enhance performance for AI workloads running on thousands of GPUs.

  • Fault Tolerance & Debugging: Work on AI system error handling, implementing techniques to detect silent data corruption (SDC) and other failure scenarios. Assist in developing monitoring tools for proactive failure mitigation.

  • Collaborate Across Teams: Work closely with senior engineers, AI researchers, and hardware/software teams to integrate resiliency features into AI frameworks like PyTorch and JAX/XLA.

  • Testing & Automation: Develop and implement tests to ensure robustness, scalability, and efficiency of resiliency mechanisms. Contribute to CI/CD pipelines to automate validation of AI workloads.

  • Support Production Deployments: Assist in debugging and performance tuning large-scale AI workloads in cloud and HPC environments, ensuring seamless operation of AI training and inference workloads.

What We Need to See:

  • You've achieved a Bachelor's, Master's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

  • Proficiency in C++ and Python, with experience in writing efficient, high-performance code.

  • 6+ years of relevant experience

  • Strong understanding of distributed systems concepts, parallel programming, and fault tolerance in large-scale computing environments.

  • Familiarity with AI frameworks such as PyTorch, JAX/XLA, TensorFlow, or similar.

  • Experience with debugging and profiling tools (e.g., gdb, perf, valgrind, NVIDIA Nsight).

  • Excellent problem-solving skills and ability to work in a fast-paced, highly collaborative environment.

Ways to Stand Out From the Crowd:

  • Hands-on experience in training models or working with model training teams.

  • Hands-on experience with CUDA, NCCL, or MPI for GPU-accelerated computing, especially at extreme-scale.

  • Knowledge of checkpointing strategies, error mitigation, or fault-tolerant computing in AI training.

  • Experience working with large-scale AI clusters, HPC environments, or cloud-based AI workloads.

  • Strong systems programming skills and experience with low-level performance tuning.

As part of the AI Resiliency team at NVIDIA, you'll work alongside world-class engineers solving some of the hardest challenges in AI infrastructure. You'll have the opportunity to contribute directly to making AI training and inference more reliable, scalable, and efficient. If you're passionate about AI, distributed systems, and high-performance computing, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.
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

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