Engineering Jobs at NVIDIA with Visa Sponsorship
NVIDIA's Engineering roles span GPU architecture, AI infrastructure, chip design, and systems software, attracting deep-specialization candidates from around the world. The company has a well-established sponsorship process for international engineers, supporting both nonimmigrant and immigrant visa pathways for qualifying full-time positions.
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Get Access To All JobsFor over 25 years, NVIDIA has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing, driven by a legacy of continuous innovation and exceptional talent. We are now leveraging the immense potential of AI to usher in the next era of computing, where our GPUs power the "brains" of computers, robots, and autonomous vehicles that can comprehend the world. This pioneering work demands vision, innovation, and the world's best talent. Join our diverse and supportive environment, where NVIDIANs are inspired to excel and make a profound global impact.
We're hiring a Principal Software Engineer to own the engineering efforts across NVIDIA enterprise systems. You'll partner with IT leadership to transform reactive support into strategic, AI infused automated systems balancing speed, security, and an exceptional user experience for NVIDIAs.
What you'll be doing:
- Lead the architecture and delivery of enterprise-grade AI applications and workflow platforms that connect to core systems of record such as SAP, Salesforce, ServiceNow, Confluence, Asana, and others.
- Build resilient end-to-end systems across frontend, backend APIs, distributed services, data pipelines, and orchestration layers for secure enterprise use.
- Develop enterprise data integration capabilities across Databricks, Snowflake, and similar EDW/lakehouse platforms to unify, govern, and operationalize data for AI applications.
- Build agentic workflow automation for high-value enterprise jobs to be done across business systems, including retrieval, approvals, case management, triage, task coordination, and operational workflows.
- Define how agents, skills, MCP-based integrations, APIs, and agent-to-agent tooling work together securely across enterprise platforms, with strong governance, permissions, and auditability.
- Support modern orchestration patterns using frameworks such as LangChain, LangGraph, and similar tooling for multi-step and multi-agent workflows.
- Help operationalize NVIDIA AI technologies such as Nemotron and AI Blueprints in enterprise production environments.
- Mentor and lead engineers, codify shared architecture and reusable components, and partner across product, infrastructure, IT, enterprise data, and research teams to deliver measurable outcomes.
What we need to see:
- BS, MS, or equivalent experience in Computer Science, Software Engineering, Data Engineering, or a related field.
- 15+ years building and operating production software, with significant experience leading architecture across application, platform, and data systems.
- Strong background in enterprise data architecture, including integration, pipelines, governance, lineage, observability, and modern EDW/lakehouse platforms such as Databricks, Snowflake, or similar systems.
- Hands-on experience building modern full-stack and platform systems using technologies such as TypeScript/JavaScript, React, Python, Go, Java, APIs, and distributed infrastructure.
- Familiarity with multi-agent systems, skills, MCP integrations, agent-to-agent tooling, and orchestration frameworks such as LangChain, LangGraph, or similar.
- Strong judgment, communication, and cross-functional leadership skills, with the ability to stay highly hands-on.
- Leverage AI coding tools such as Cursor, Claude Code, Codex, and similar systems to improve engineering productivity and development workflows.
- Establish strong engineering practices across testing, CI/CD, observability, rollout safety, incident response, and operational excellence.
Ways to stand out from the crowd:
- Experience creating reusable connectors, canonical models, or integration layers across systems of record.
- Experience delivering workflow automation that improves employee productivity, enterprise operations, IT workflows, or service operations.
- Experience building reusable infrastructure for agentic AI applications, including orchestration, memory/context, evaluation, and policy controls.
- Familiarity with identity, governance, trust, and permission models for enterprise agent collaboration.
- Experience with NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 26, 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.
For over 25 years, NVIDIA has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing, driven by a legacy of continuous innovation and exceptional talent. We are now leveraging the immense potential of AI to usher in the next era of computing, where our GPUs power the "brains" of computers, robots, and autonomous vehicles that can comprehend the world. This pioneering work demands vision, innovation, and the world's best talent. Join our diverse and supportive environment, where NVIDIANs are inspired to excel and make a profound global impact.
We're hiring a Principal Software Engineer to own the engineering efforts across NVIDIA enterprise systems. You'll partner with IT leadership to transform reactive support into strategic, AI infused automated systems balancing speed, security, and an exceptional user experience for NVIDIAs.
What you'll be doing:
- Lead the architecture and delivery of enterprise-grade AI applications and workflow platforms that connect to core systems of record such as SAP, Salesforce, ServiceNow, Confluence, Asana, and others.
- Build resilient end-to-end systems across frontend, backend APIs, distributed services, data pipelines, and orchestration layers for secure enterprise use.
- Develop enterprise data integration capabilities across Databricks, Snowflake, and similar EDW/lakehouse platforms to unify, govern, and operationalize data for AI applications.
- Build agentic workflow automation for high-value enterprise jobs to be done across business systems, including retrieval, approvals, case management, triage, task coordination, and operational workflows.
- Define how agents, skills, MCP-based integrations, APIs, and agent-to-agent tooling work together securely across enterprise platforms, with strong governance, permissions, and auditability.
- Support modern orchestration patterns using frameworks such as LangChain, LangGraph, and similar tooling for multi-step and multi-agent workflows.
- Help operationalize NVIDIA AI technologies such as Nemotron and AI Blueprints in enterprise production environments.
- Mentor and lead engineers, codify shared architecture and reusable components, and partner across product, infrastructure, IT, enterprise data, and research teams to deliver measurable outcomes.
What we need to see:
- BS, MS, or equivalent experience in Computer Science, Software Engineering, Data Engineering, or a related field.
- 15+ years building and operating production software, with significant experience leading architecture across application, platform, and data systems.
- Strong background in enterprise data architecture, including integration, pipelines, governance, lineage, observability, and modern EDW/lakehouse platforms such as Databricks, Snowflake, or similar systems.
- Hands-on experience building modern full-stack and platform systems using technologies such as TypeScript/JavaScript, React, Python, Go, Java, APIs, and distributed infrastructure.
- Familiarity with multi-agent systems, skills, MCP integrations, agent-to-agent tooling, and orchestration frameworks such as LangChain, LangGraph, or similar.
- Strong judgment, communication, and cross-functional leadership skills, with the ability to stay highly hands-on.
- Leverage AI coding tools such as Cursor, Claude Code, Codex, and similar systems to improve engineering productivity and development workflows.
- Establish strong engineering practices across testing, CI/CD, observability, rollout safety, incident response, and operational excellence.
Ways to stand out from the crowd:
- Experience creating reusable connectors, canonical models, or integration layers across systems of record.
- Experience delivering workflow automation that improves employee productivity, enterprise operations, IT workflows, or service operations.
- Experience building reusable infrastructure for agentic AI applications, including orchestration, memory/context, evaluation, and policy controls.
- Familiarity with identity, governance, trust, and permission models for enterprise agent collaboration.
- Experience with NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 26, 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.
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Get Access To All JobsTips for Finding Engineering Jobs at NVIDIA Jobs
Align your credentials to NVIDIA's specializations
NVIDIA's Engineering hiring skews heavily toward GPU computing, CUDA, deep learning frameworks, and hardware architecture. Tailor your resume to match the specific technical stack of the team you're targeting before submitting applications.
Target teams with established sponsorship histories
Not every Engineering team at NVIDIA hires internationally at the same rate. Research which divisions, such as AI platforms or silicon engineering, have the most active international hiring and focus your outreach on roles in those groups.
Understand the H-1B cap and NVIDIA's filing cycle
NVIDIA files H-1B registrations in the March lottery window. If you receive an offer after cap season, ask your recruiter about cap-exempt paths or whether an October start date is feasible for your situation.
Prepare your degree equivalency documentation early
NVIDIA Engineering roles typically require a bachelor's or master's in a specific engineering or computer science field. If your degree is from outside the U.S., get a credential evaluation ready before interviews move to the offer stage.
Find open Engineering roles at NVIDIA using Migrate Mate
Locating verified sponsorship-eligible Engineering postings at NVIDIA manually is time-consuming. Use Migrate Mate to filter NVIDIA's active openings by visa type and Engineering function so you're only applying to roles with a clear sponsorship pathway.
Engineering at NVIDIA jobs are hiring across the US. Find yours.
Find Engineering at NVIDIA JobsFrequently Asked Questions
Does NVIDIA sponsor H-1B visas for Engineers?
Yes, NVIDIA sponsors H-1B visas for qualifying Engineering roles. The company participates in the annual H-1B cap registration process each March and files petitions for selected candidates. If you're already in H-1B status with another employer, NVIDIA can also file an H-1B transfer, which lets you start without waiting for a new cap year.
How do I apply for Engineering jobs at NVIDIA?
Applications go through NVIDIA's careers portal. Most Engineering roles list specific technical requirements, so tailoring your application to the team's focus area, such as silicon design, AI infrastructure, or software systems, improves your chances. You can also browse NVIDIA's sponsorship-eligible Engineering openings filtered by visa type on Migrate Mate before applying directly through the company.
Which visa types does NVIDIA commonly use for Engineering roles?
NVIDIA sponsors H-1B visas for most international Engineering hires, along with the E-3 for Australian nationals and EB-2 or EB-3 Green Card pathways for longer-term employment. For engineers on OPT or STEM OPT, NVIDIA can typically support the transition to H-1B. The right visa depends on your citizenship, degree level, and the specific Engineering role.
What qualifications does NVIDIA expect for sponsored Engineering positions?
NVIDIA Engineering roles typically require a bachelor's, master's, or PhD in electrical engineering, computer science, or a closely related field. Sponsored positions are specialty occupations under USCIS standards, meaning the degree requirement must match the role's duties. Deep technical expertise in areas like GPU architecture, CUDA programming, or machine learning systems is commonly expected at the mid-to-senior level.
How do I plan my timeline if NVIDIA offers me an Engineering role with H-1B sponsorship?
H-1B cap petitions must be filed after the March lottery selection, with employment starting no earlier than October 1. If you're on OPT, confirm your expiration date allows you to bridge the gap. Premium processing through USCIS, currently adjudicated within 15 business days, is available and worth discussing with your recruiter if your start date is time-sensitive.
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