AI Engineer Jobs at NVIDIA with Visa Sponsorship
AI Engineer jobs at NVIDIA span research, infrastructure, and applied teams, covering model development, training optimization, and deployment at scale. The company has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates with the right technical background.
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Get Access To All JobsINTRODUCTION
Today, NVIDIA is 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. As an NVIDIAN, you are immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
ROLE AND RESPONSIBILITIES
We are seeking a Senior AI Workflow Engineer to join the Enterprise Integration and API Team, playing a key role in crafting, developing, and maintaining innovative software solutions. This role operates at the forefront of AI-augmented engineering. It uses AI-assisted engineering and automation tools such as Codex, Claude Code, and n8n to accelerate development, testing, and delivery across the integration ecosystem. You will help build a developer-centric Unified Integration Framework that enables secure, self-service connectivity across systems and applications, with governed APIs, data access, and controlled agent connectivity through MCP to support AI application development.
What you’ll be doing:
- Develop roadmap and framework for Enterprise Integration, B2B, and API ecosystems, embedding agentic AI capabilities to enable autonomous, adaptive, and self-optimizing integration strategies across the enterprise.
- Architect and deliver high-throughput, real-time integration platforms using event-driven, asynchronous, and AI-augmented orchestration patterns to support large-scale, distributed systems.
- Design intelligent, context-aware integration solutions for sophisticated business processes across Operations, Order-to-Cash, Planning, and multi-cloud environments (IaaS, PaaS, SaaS), incorporating decisioning and automation driven by AI agents.
- Collaborate with Product and Engineering teams to understand evolving data and compute needs in software, hardware, automotive, and AI. Implement intelligent algorithms and autonomous workflows into production-grade integration systems.
- Orchestrate autonomous, closed-loop integration lifecycles, enabling self-monitoring, self-healing, continuous testing, adaptive updates, and proactive alerting through agentic automation.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor’s/Master’s degree or equivalent experience in Computer Science, or related Engineering Degree.
- 8+ years of proven experience in enterprise integration. You have expertise in microservices, integration patterns, and reusable frameworks across heterogeneous systems and partner ecosystems. This covers SAP Integration Suite, including CPI, API-M, and TPM. It also involves AI coding assistants like Codex and Claude Code, plus workflow automation and orchestration systems like n8n.
- Experience across the API lifecycle (design, build, governance, and management), with exposure to AI-enabled API orchestration and intelligent routing.
- Strong expertise in integrating distributed enterprise systems such as SAP S/4, IBP, Salesforce, and similar SaaS/Cloud applications through diverse integration patterns, encompassing API-First and Event Driven Architecture.
- Develops and delivers intelligent, distributed integration architectures with REST, GraphQL, and SOAP to support seamless enterprise interoperability. Composes scalable, reusable services for sophisticated systems. Applies expertise in automated, data-driven orchestration in Agile environments.
- Proficient in handling extensive EDI deployments (EDIFACT, ANSI X12, custom EDI, RNIF), with opportunities to improve flows using automated validation, mapping, and anomaly detection.
- Strong programming and scripting skills (Java, Groovy, Python, PowerShell), with the ability to integrate agentic workflows into integration pipelines.
- Strong grasp of identity management and access control (authorization frameworks, application keys, SAML protocols, JWT tokens, Certificates), along with familiarity with secure automated integrations and policy enforcement.
- Experience building CI/CD pipelines using Git, Jenkins, JFrog, along with observability tools like Datadog, Splunk, and familiarity with intelligent monitoring frameworks.
PREFERRED QUALIFICATIONS
Ways to Stand Out from the Crowd:
- Proven experience building AI-first, agentic integration architectures across SAP and non-SAP ecosystems in distributed cloud environments.
- Published work in industry, shown thought leadership and how it helped the organization!
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 12, 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.
INTRODUCTION
Today, NVIDIA is 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. As an NVIDIAN, you are immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
ROLE AND RESPONSIBILITIES
We are seeking a Senior AI Workflow Engineer to join the Enterprise Integration and API Team, playing a key role in crafting, developing, and maintaining innovative software solutions. This role operates at the forefront of AI-augmented engineering. It uses AI-assisted engineering and automation tools such as Codex, Claude Code, and n8n to accelerate development, testing, and delivery across the integration ecosystem. You will help build a developer-centric Unified Integration Framework that enables secure, self-service connectivity across systems and applications, with governed APIs, data access, and controlled agent connectivity through MCP to support AI application development.
What you’ll be doing:
- Develop roadmap and framework for Enterprise Integration, B2B, and API ecosystems, embedding agentic AI capabilities to enable autonomous, adaptive, and self-optimizing integration strategies across the enterprise.
- Architect and deliver high-throughput, real-time integration platforms using event-driven, asynchronous, and AI-augmented orchestration patterns to support large-scale, distributed systems.
- Design intelligent, context-aware integration solutions for sophisticated business processes across Operations, Order-to-Cash, Planning, and multi-cloud environments (IaaS, PaaS, SaaS), incorporating decisioning and automation driven by AI agents.
- Collaborate with Product and Engineering teams to understand evolving data and compute needs in software, hardware, automotive, and AI. Implement intelligent algorithms and autonomous workflows into production-grade integration systems.
- Orchestrate autonomous, closed-loop integration lifecycles, enabling self-monitoring, self-healing, continuous testing, adaptive updates, and proactive alerting through agentic automation.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor’s/Master’s degree or equivalent experience in Computer Science, or related Engineering Degree.
- 8+ years of proven experience in enterprise integration. You have expertise in microservices, integration patterns, and reusable frameworks across heterogeneous systems and partner ecosystems. This covers SAP Integration Suite, including CPI, API-M, and TPM. It also involves AI coding assistants like Codex and Claude Code, plus workflow automation and orchestration systems like n8n.
- Experience across the API lifecycle (design, build, governance, and management), with exposure to AI-enabled API orchestration and intelligent routing.
- Strong expertise in integrating distributed enterprise systems such as SAP S/4, IBP, Salesforce, and similar SaaS/Cloud applications through diverse integration patterns, encompassing API-First and Event Driven Architecture.
- Develops and delivers intelligent, distributed integration architectures with REST, GraphQL, and SOAP to support seamless enterprise interoperability. Composes scalable, reusable services for sophisticated systems. Applies expertise in automated, data-driven orchestration in Agile environments.
- Proficient in handling extensive EDI deployments (EDIFACT, ANSI X12, custom EDI, RNIF), with opportunities to improve flows using automated validation, mapping, and anomaly detection.
- Strong programming and scripting skills (Java, Groovy, Python, PowerShell), with the ability to integrate agentic workflows into integration pipelines.
- Strong grasp of identity management and access control (authorization frameworks, application keys, SAML protocols, JWT tokens, Certificates), along with familiarity with secure automated integrations and policy enforcement.
- Experience building CI/CD pipelines using Git, Jenkins, JFrog, along with observability tools like Datadog, Splunk, and familiarity with intelligent monitoring frameworks.
PREFERRED QUALIFICATIONS
Ways to Stand Out from the Crowd:
- Proven experience building AI-first, agentic integration architectures across SAP and non-SAP ecosystems in distributed cloud environments.
- Published work in industry, shown thought leadership and how it helped the organization!
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 12, 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.
See all 64+ AI Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at NVIDIA.
Get Access To All JobsTips for Finding AI Engineer Jobs at NVIDIA
Align your portfolio to NVIDIA's AI stack
NVIDIA's AI Engineer roles emphasize CUDA, TensorRT, and large-scale model training on GPU clusters. Build and document projects that use these tools directly. A portfolio showing hands-on NVIDIA infrastructure work signals fit before your resume does.
Target roles that clear the specialty occupation bar
For H-1B eligibility, your role needs to require a specific bachelor's degree field. AI Engineer positions tied to machine learning research or inference optimization have a cleaner specialty occupation case than generalist software roles. Review the job description language before applying.
Get your credentials evaluated before NVIDIA's offer stage
NVIDIA's recruiting moves fast. If your degree is from a non-U.S. institution, have a NACES-accredited evaluator assess its equivalency to a U.S. bachelor's in computer science or a related field before you receive an offer, not after.
Ask about E-3 eligibility if you hold Australian citizenship
Australian citizens can use the E-3 visa for specialty occupation roles at NVIDIA. It has no lottery and allows two-year renewable terms. If your recruiter defaults to H-1B, flag your citizenship and ask whether the E-3 path is available for your role.
Use Migrate Mate to find open AI Engineer roles at NVIDIA
Identifying which of NVIDIA's current AI Engineer postings are open to sponsored candidates saves time during a time-sensitive search. Migrate Mate filters NVIDIA roles specifically by visa type so you can focus your applications on positions where sponsorship is confirmed.
Confirm LCA filing timing with your NVIDIA HR contact
NVIDIA's HR team files your Labor Condition Application with the DOL before USCIS receives the H-1B petition. If your start date is firm, verify that the LCA was submitted and certified at least a week before your I-129 is filed to avoid processing gaps.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for AI Engineers?
Yes. NVIDIA sponsors H-1B visas for AI Engineer roles, and the company has a consistent pattern of doing so across research, applied, and infrastructure teams. Because H-1B is subject to an annual cap and lottery, timing matters. NVIDIA typically initiates sponsorship discussions during or after the offer stage, and your start date will depend on lottery selection and USCIS processing timelines.
How do I apply for AI Engineer jobs at NVIDIA?
Applications go through NVIDIA's careers portal at nvidia.com/en-us/about-nvidia/careers. Search by role title and filter for AI or machine learning positions. If you want to narrow results to roles with confirmed visa sponsorship, Migrate Mate aggregates NVIDIA's open AI Engineer positions by visa type, which saves time if you're on a deadline like OPT expiration or a 60-day grace period.
Which visa types does NVIDIA commonly use for AI Engineer roles?
NVIDIA sponsors H-1B and E-3 visas for nonimmigrant work authorization, and supports EB-2 and EB-3 Green Card pathways for longer-term permanent residence. E-3 visa is available exclusively to Australian citizens and skips the H-1B lottery entirely. The right visa depends on your nationality, your degree, and whether the role meets specialty occupation requirements under USCIS guidelines.
What qualifications does NVIDIA expect for AI Engineer roles?
Most AI Engineer postings at NVIDIA specify a bachelor's or master's degree in computer science, electrical engineering, or a closely related field. Hands-on experience with GPU-accelerated computing, deep learning frameworks like PyTorch, and model optimization tools such as TensorRT is expected. Research-oriented roles often require a publication record or demonstrated experience with large-scale model training at the infrastructure level.
How do I time my application if my work authorization is expiring soon?
If you're on OPT or in a 60-day grace period, apply early and flag your authorization timeline to your NVIDIA recruiter at the point of offer. H-1B cap filings open in March for October 1 starts, so if you miss that window, NVIDIA may be able to use cap-exempt options or bridge your status depending on your circumstances. E-3 applicants have more flexibility since there's no lottery and consular appointments can move faster.