ZipRecruiter

Log In

1

Senior Python Ai Jobs in Seattle, WA (NOW HIRING)

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA

$137K - $180K/yr

Contribute to large-scale distributed systems with high-quality, production-level C++ and Python ... Work closely with senior engineers, AI researchers, and hardware/software teams to integrate ...

Microsoft AI

Senior Software Engineer

Redmond, WA · On-site

$137K - $180K/yr

Microsoft AI is seeking a Senior Software Engineer to join their Edge Web Platform team. The role ... or Python • OR equivalent experience. Preferred : • Master's Degree in Computer Science or ...

Accenture

Senior Advanced AI Research Engineer

Redmond, WA · On-site

$117K - $160K/yr

You Are: As a Senior Advanced AI Research Engineer, you sit at the boundary between AI systems ... You are a strong Python engineer who can move fluently between an experiment and a well-structured ...

Accenture

Senior Advanced AI Research Engineer

Seattle, WA · On-site

$118K - $163K/yr

You Are: As a Senior Advanced AI Research Engineer, you sit at the boundary between AI systems ... You are a strong Python engineer who can move fluently between an experiment and a well-structured ...

Accenture

Senior Advanced AI Research Engineer

Kirkland, WA · On-site

$118K - $163K/yr

You Are: As a Senior Advanced AI Research Engineer, you sit at the boundary between AI systems ... You are a strong Python engineer who can move fluently between an experiment and a well-structured ...

Metropolis

Senior AI Engineer

Seattle, WA · On-site

$139K - $183K/yr

They are seeking a Senior AI Engineer to design and ship AI-powered tools and automation pipelines ... Python skills -- you write clean, maintainable code and are comfortable building APIs, data ...

Socket.dev

Senior AI Engineer

Bellevue, WA · On-site

$140 - $190/hr

Senior Software Engineer - Intelligent Document Processing & Context GroundingBuild the AI-powered ... Python * C# * Azure (preferred), AWS, or GCP * Docker * Kubernetes * REST APIs * Distributed ...

previous pagenext page

Showing results 21-40

All JobsPython Ai JobsSenior Python Ai JobsSenior Python Ai Jobs in Seattle, WA

Senior Python Ai information

See Seattle, WA salary details

$62.6K

$161.6K

$221.9K

How much do senior python ai jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior python ai in Seattle, WA is $161,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,300.00 and $186,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are the most commonly searched types of Python Ai jobs in Seattle, WA?

The most popular types of Python Ai jobs in Seattle, WA are:

What are popular job titles related to Senior Python Ai jobs in Seattle, WA?

For Senior Python Ai jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Senior Python Ai jobs in Seattle, WA look for?

The top searched job categories for Senior Python Ai jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Senior Python Ai jobs?

Cities near Seattle, WA with the most Senior Python Ai job openings:

Senior Python Ai jobs near you
Infographic showing various Senior Python Ai job openings in Seattle, WA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution, with an average salary of $161,572 per year, or $77.7 per hour.

Senior Software Engineer, AI Resiliency

Nvidia

Redmond, WA

$137K - $180K/yr

Full-time

Re-posted 1 hour 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

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.

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

View All Nvidia Jobs

Apply