1,000+ matching jobs for “Senior AI Engineer”

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Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Nvidia

Senior AI Infra Test Development Engineer, SDET

China, Shanghai

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, …

Added Oct 27, 2026

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Nvidia

Senior AI Infra Test Development Engineer, SDET

China, Shanghai

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, …

Added Oct 27, 2026

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Adobe

Senior AI / Machine Learning Engineer — Fraud Prevention

San Jose, California, United States +5 locations

Full time
Regular

Pay posted by employer$151,800–$265,350 per year

Build and deploy high-precision ML models for fraud and abuse detection, anomaly detection, and risk scoring. Engineer risk signals from large-scale account, device, network, behavioral, velocity, and session data. Integrate …

Added Oct 27, 2026

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Intel

Senior 5G Telco Cloud & AI Software Development Engineer

Leixlip, Leinster, Ireland

The Senior Cloud Software Development Engineer will lead the architecture, development, and delivery of cloud-native, …

Added Nov 10, 2026

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Nvidia

Senior DGX Cloud AI Infrastructure Software Engineer

Santa Clara, California, United States +4 locations

include implementing software and systems engineering practices to ensure high efficiency and availability of AI systems. As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity …

Added Oct 27, 2026

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Northern Trust

Sr Principal Software Engineer, AI Security Platform

Chicago, Illinois, United States

Full time
Regular

Pay posted by employer$164,600–$288,000 USD

… sophisticated clients using leading technology and exceptional service. We are seeking a highly experienced Senior Principal Software Engineer to support technical development of our AI-powered Code Security Scanner …

Added Oct 16, 2026

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Northern Trust

Sr Lead Software Engineer, AI Security Platform

Chicago, Illinois, United States

Full time
Regular

Pay posted by employer$114,500–$194,700 USD

… sophisticated clients using leading technology and exceptional service. We are seeking a highly experienced Senior Lead Software Engineer to support technical development of our AI-powered Code Security Scanner platform. …

Added Oct 16, 2026

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Procter & Gamble

Data Foundations AI Engineer Senior Manager

FAYETTEVILLE SALES OFFICE

Pay posted by employer$110,000–$165,300 per year

… Enthusiasm for working directly with end-users and for figuring out to get the most out of the latest AI tools Preferred Experience deploying solutions through AI Factory, Pygentic, PowerApps Experience operating …

Added Oct 27, 2026

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General Motors

Principal AI / ML Engineer - Embodied AI

Mountain View, California, United States

Hybrid
Full time
Regular

Pay posted by employer$296,300–$453,900

… shaping the future of transportation on a global scale. Role: As a Principal Technical Lead in the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning …

Added Oct 12, 2026

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Coupang

Senior Staff ll, AI Engineer (L7-2)

Mountain View, California, United States

Full time (company default)

We are looking for a Sr. Staff ll, AI Native, AI First Engineer to pioneer and architect entirely new applications where Generative AI and Large …

Added Oct 4, 2026

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Databricks

Senior Staff Applied AI Engineer - Context Retrieval

Mountain View, California, United States +1 location

Pay posted by employer$228,600–$342,800 USD

… is quality you can't ship. Set technical direction and grow the team. Set the multi-year roadmap, mentor senior engineers, partner with Research, Product, and Platform leaders, and raise the technical bar across the …

Added Oct 4, 2026

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General Motors

Sr. Software Engineer - AI Quality and Productivity

Warren, Michigan, United States +1 location

Hybrid
Full time
Regular

The Role The AI Quality and Productivity team in the Product Validation, Safety and Quality IT org is responsible for …

Added Oct 12, 2026

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General Motors

Sr. Software Engineer - AI Engineering and Productivity

Austin, Texas, United States +1 location

Hybrid
Full time
Regular

The Role The AI Engineering and Productivity team in the Global Planning, Design, and Product IT org is responsible for …

Added Oct 12, 2026

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Xylem

Senior AI Product Manager

Charlotte, North Carolina, United States

Hybrid
Full time
Regular

Pay posted by employer$165,000–$180,000

The Senior AI Product Manager will lead product strategy, roadmap, and delivery for foundational AI platform solutions …

Added Nov 3, 2026

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Workday

Senior Developer Experience (DevEx) Engineer – AI Platform

Dublin, Leinster, Ireland

Flex
Full time

… pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their …

Added Nov 3, 2026

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Databricks

Senior Software Engineer, AI Native Web Platform

Mountain View, California, United States

Senior

Pay posted by employer$159,900–$219,900 USD

As Senior Software Engineer, AI Native Web Platform on the Web Engineering team, you will build and scale the …

Added Oct 4, 2026

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Bristol-Myers Squibb

Sr Specialist - AI Operations

Dublin - IE

Full time
Regular

AI Application Support & Production Operations Provide operational support for production AI applications, …

Added Oct 15, 2026

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Nvidia

Senior Staff Software Engineer - AI Agent Platform

Santa Clara, California, United States

We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem. You will work at the …

Added Oct 27, 2026

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Palo Alto Networks

Senior/Principal Backend AI Engineer (Cortex XSIAM)

Office - Israel - Tel Aviv

Your Career: Palo Alto Networks is seeking a Senior or Principal Backend Engineer (we are open to hire both levels) for our Cortex engineering group, focusing …

Added Oct 27, 2026

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Capital One Financial

AI Engineer 4 (Gen AI Platform Services)

San Francisco, California, United States +4 locations

… team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. …

Added Oct 27, 2026

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Nvidia

Senior AI Infra Test Development Engineer, SDET

China, Shanghai

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About this opportunity

Original employer description

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior AI Infrastructure Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks.

The AI infra test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products.

The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions.

What you’ll be doing:

Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products.
Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows.
Build and maintain high-value automated coverage for Linux-based, containerized, and Kubernetes environments.
Investigate difficult failures across software stacks; isolate root causes and work directly with development teams through resolution with proposed bug fix PRs.
Establish meaningful quality metrics, improve signal-to-noise in test results, and use data to prioritize engineering investment.
Drive automation efficiency through well-engineered tooling, reusable frameworks, and AI-assisted workflows where they demonstrably improve quality or developer productivity.
Raise the technical capability of the wider team through code reviews, design reviews, documentation, and mentorship.
Take ownership of ambiguous, cross-functional quality problems and deliver durable solutions—not just test execution.

What we need to see:

5+ years of experience in infrastructure software development or test development. An MS or PhD in computer science or a related field is preferred.
Strong Python programming skills, with the ability to write clean, maintainable, well-tested code.
Hands-on experience designing end-to-end SWQA workflows and automation frameworks, including practical use of AI tools to improve test development or debugging.
Strong Linux expertise and experience testing software deployed with Docker and Kubernetes.
A solid understanding of risk-based testing, testability, observability, regression strategy, and release criteria.
Familiarity with bare-metal infrastructure and some provisioning or networking technologies, such as BMC/Redfish, PXE, DPUs, or TCP/IP.
The ability to debug multi-layer failures spanning services, infrastructure, networking, and deployment configuration.
Demonstrated technical ownership and the communication skills to align stakeholders, deliver solutions, and measure outcomes.

Ways to stand out from the crowd:

Created or significantly improved a test platform used by multiple teams or products.
Reduced release risk, escaped defects, test runtime, or manual validation effort through measurable engineering improvements.
Built and owned an AI-assisted or agentic SWQA workflow that improved coverage or efficiency.
Validated distributed or large-scale infrastructure under realistic failure conditions.
Hands-on experience with BlueField DPUs, Redfish, firmware management, or bare-metal provisioning.

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

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