Software Engineer Jobs at Lenovo with Visa Sponsorship
Software Engineer jobs at Lenovo span firmware, cloud infrastructure, AI, and enterprise software across a global engineering org. Lenovo has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B visa, OPT, and other pathways at multiple career levels.
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Get Access To All JobsGENERAL INFORMATION
Req #
WD00105539
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Friday, October 16, 2026
Working time:
Full-time
ADDITIONAL LOCATIONS:
* United States of America - North Carolina - Morrisville
WHY WORK AT LENOVO
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
DESCRIPTION AND REQUIREMENTS
We are seeking a highly motivated AI Developer – New Graduate to join our US engineering team. This role is based in Morrisville, NC and operates under a hybrid policy. The target start date will be January 2027.
This is an entry-level role designed for recent graduates with a strong software engineering foundation and hands-on exposure to AI/ML or Generative AI through internships, research, academic projects, or personal projects.
You will participate in the design and development of enterprise AI applications using technologies such as LLMs, RAG, AI Agents, tool/function calling, embedding/vector search, and AI workflow orchestration.
This is not a purely research-focused AI position. You will work on real enterprise products and collaborate with product managers, architects, developers, and business stakeholders throughout the solution lifecycle.
We are particularly interested in candidates with the potential to grow into an FDE-style engineer — someone who can combine strong technical execution with business understanding, customer communication, rapid problem solving, and end-to-end ownership.
JOB RESPONSIBILITIES
- Design, develop, test, and enhance enterprise AI applications and AI-enabled product capabilities.
- Build solutions involving LLMs, RAG, AI Agents, prompt engineering, tool/function calling, vector/embedding search, and AI workflow orchestration.
- Develop backend services, APIs, data integrations, and other components required to connect AI capabilities with enterprise systems.
- Participate in AI evaluation, testing, debugging, and performance improvement to continuously improve solution quality, reliability, latency, and user experience.
- Work with product managers, architects, business stakeholders, and engineering teams to understand business problems and translate requirements into practical technical solutions.
- Participate in requirement discussions, solution design, technical reviews, demos, UAT support, and production deployment.
- Prototype and evaluate new AI technologies and quickly determine their feasibility for real business scenarios.
- Troubleshoot technical and production issues and continuously improve application stability and engineering quality.
- Develop a strong understanding of business processes and user journeys rather than focusing only on individual technical tasks.
- Gradually take greater ownership of solutions from problem definition and prototyping through implementation and delivery.
- For candidates demonstrating strong technical and communication capabilities, gradually develop toward an FDE role, directly partnering with stakeholders to explore problems, prototype solutions, and drive AI use cases from concept to production.
BASIC QUALIFICATIONS:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field.
- Recent graduate or early-career candidate with strong academic, internship, research, or project experience.
- Strong programming fundamentals, with hands-on experience in Python.
- Hands-on project, research, or internship experience in at least one AI-related area such as:
- Large Language Models (LLMs)
- Generative AI applications
- RAG
- AI Agents
- AI chatbot / conversational AI
- NLP
- Machine Learning
- Embedding / vector search
- Tool / Function Calling
- AI automation
- Ability to clearly explain the architecture, implementation, challenges, and results of AI or software projects you have personally worked on.
- Good understanding of software engineering fundamentals, including APIs, databases, debugging, source control, and software development lifecycle.
- Strong learning ability and curiosity about new AI technologies.
- Strong problem-solving skills and willingness to work through ambiguous problems.
- Good verbal and written communication skills, with the ability to collaborate with both technical and non-technical stakeholders.
- Strong ownership mindset and willingness to learn business processes in addition to technology.
- Ability to work effectively in a global, cross-functional engineering environment.
PREFERRED QUALIFICATIONS:
- Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
- Internship or project experience building production-oriented LLM or Generative AI applications.
- Experience with frameworks or technologies such as LangChain, LangGraph, AutoGen, Hugging Face, PyTorch, or similar AI development frameworks.
- Experience with RAG pipelines, vector databases, embeddings, Agent workflows, or tool/function calling.
- Experience with backend development using Python frameworks such as FastAPI or Flask.
- Familiarity with relational databases, SQL, REST APIs, cloud platforms, Docker, or Kubernetes.
- Experience developing and evaluating AI prototypes and converting prototypes into usable applications.
- Exposure to LLM evaluation, prompt evaluation, test datasets, or AI observability is a plus.
- Experience working directly with users, customers, product teams, or business stakeholders through internships, university projects, startup experience, or other activities.
- Demonstrated ability to independently explore an unfamiliar problem, quickly build a prototype, collect feedback, and iterate on the solution.
- Interest and potential to grow toward a Forward Deployed Engineer (FDE) role combining engineering, product thinking, business understanding, and stakeholder engagement.
- Mandarin Chinese communication skills are a plus due to frequent collaboration with China-based engineering teams.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
ADDITIONAL LOCATIONS:
United States of America - North Carolina - Morrisville
United States of America
United States of America - North Carolina
United States of America - North Carolina - Morrisville
GENERAL INFORMATION
Req #
WD00105539
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Friday, October 16, 2026
Working time:
Full-time
ADDITIONAL LOCATIONS:
* United States of America - North Carolina - Morrisville
WHY WORK AT LENOVO
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
DESCRIPTION AND REQUIREMENTS
We are seeking a highly motivated AI Developer – New Graduate to join our US engineering team. This role is based in Morrisville, NC and operates under a hybrid policy. The target start date will be January 2027.
This is an entry-level role designed for recent graduates with a strong software engineering foundation and hands-on exposure to AI/ML or Generative AI through internships, research, academic projects, or personal projects.
You will participate in the design and development of enterprise AI applications using technologies such as LLMs, RAG, AI Agents, tool/function calling, embedding/vector search, and AI workflow orchestration.
This is not a purely research-focused AI position. You will work on real enterprise products and collaborate with product managers, architects, developers, and business stakeholders throughout the solution lifecycle.
We are particularly interested in candidates with the potential to grow into an FDE-style engineer — someone who can combine strong technical execution with business understanding, customer communication, rapid problem solving, and end-to-end ownership.
JOB RESPONSIBILITIES
- Design, develop, test, and enhance enterprise AI applications and AI-enabled product capabilities.
- Build solutions involving LLMs, RAG, AI Agents, prompt engineering, tool/function calling, vector/embedding search, and AI workflow orchestration.
- Develop backend services, APIs, data integrations, and other components required to connect AI capabilities with enterprise systems.
- Participate in AI evaluation, testing, debugging, and performance improvement to continuously improve solution quality, reliability, latency, and user experience.
- Work with product managers, architects, business stakeholders, and engineering teams to understand business problems and translate requirements into practical technical solutions.
- Participate in requirement discussions, solution design, technical reviews, demos, UAT support, and production deployment.
- Prototype and evaluate new AI technologies and quickly determine their feasibility for real business scenarios.
- Troubleshoot technical and production issues and continuously improve application stability and engineering quality.
- Develop a strong understanding of business processes and user journeys rather than focusing only on individual technical tasks.
- Gradually take greater ownership of solutions from problem definition and prototyping through implementation and delivery.
- For candidates demonstrating strong technical and communication capabilities, gradually develop toward an FDE role, directly partnering with stakeholders to explore problems, prototype solutions, and drive AI use cases from concept to production.
BASIC QUALIFICATIONS:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field.
- Recent graduate or early-career candidate with strong academic, internship, research, or project experience.
- Strong programming fundamentals, with hands-on experience in Python.
- Hands-on project, research, or internship experience in at least one AI-related area such as:
- Large Language Models (LLMs)
- Generative AI applications
- RAG
- AI Agents
- AI chatbot / conversational AI
- NLP
- Machine Learning
- Embedding / vector search
- Tool / Function Calling
- AI automation
- Ability to clearly explain the architecture, implementation, challenges, and results of AI or software projects you have personally worked on.
- Good understanding of software engineering fundamentals, including APIs, databases, debugging, source control, and software development lifecycle.
- Strong learning ability and curiosity about new AI technologies.
- Strong problem-solving skills and willingness to work through ambiguous problems.
- Good verbal and written communication skills, with the ability to collaborate with both technical and non-technical stakeholders.
- Strong ownership mindset and willingness to learn business processes in addition to technology.
- Ability to work effectively in a global, cross-functional engineering environment.
PREFERRED QUALIFICATIONS:
- Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
- Internship or project experience building production-oriented LLM or Generative AI applications.
- Experience with frameworks or technologies such as LangChain, LangGraph, AutoGen, Hugging Face, PyTorch, or similar AI development frameworks.
- Experience with RAG pipelines, vector databases, embeddings, Agent workflows, or tool/function calling.
- Experience with backend development using Python frameworks such as FastAPI or Flask.
- Familiarity with relational databases, SQL, REST APIs, cloud platforms, Docker, or Kubernetes.
- Experience developing and evaluating AI prototypes and converting prototypes into usable applications.
- Exposure to LLM evaluation, prompt evaluation, test datasets, or AI observability is a plus.
- Experience working directly with users, customers, product teams, or business stakeholders through internships, university projects, startup experience, or other activities.
- Demonstrated ability to independently explore an unfamiliar problem, quickly build a prototype, collect feedback, and iterate on the solution.
- Interest and potential to grow toward a Forward Deployed Engineer (FDE) role combining engineering, product thinking, business understanding, and stakeholder engagement.
- Mandarin Chinese communication skills are a plus due to frequent collaboration with China-based engineering teams.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
ADDITIONAL LOCATIONS:
United States of America - North Carolina - Morrisville
United States of America
United States of America - North Carolina
United States of America - North Carolina - Morrisville
See all Software Engineer Jobs at Lenovo
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer Jobs at Lenovo.
Get Access To All JobsTips for Finding Software Engineer Jobs at Lenovo
Align your resume to Lenovo's hardware software stack
Lenovo hires Software Engineers to build firmware, device drivers, and cloud services for its PC, server, and smart device lines. Tailor your resume to show experience in embedded systems, Linux kernel development, or cloud-native tools rather than generic web application work.
Target teams with recurring sponsorship patterns
Lenovo's infrastructure and AI research divisions consistently bring in visa-sponsored engineers. Search DOL's OFLC disclosure data by employer name and job title to identify which Lenovo business units file LCAs most frequently for Software Engineer roles before applying.
Confirm your OPT start date against the offer timeline
Lenovo recruits on a rolling basis rather than strictly seasonal cycles. If you're on F-1 OPT, verify your EAD start date covers the expected onboarding window. A gap of even a few days before your authorized start date creates an employment authorization problem.
Clarify H-1B cap-gap coverage during interviews
If your OPT expires before October 1 and Lenovo files an H-1B petition on your behalf, cap-gap rules extend your work authorization automatically. Ask the recruiter early whether Lenovo's legal team files by the April 1 USCIS deadline to protect your continuous employment.
Browse Lenovo Software Engineer roles on Migrate Mate
Confirmed sponsorship roles are harder to find on general job boards. Use Migrate Mate to filter Software Engineer openings at Lenovo by visa type so you apply only to positions where sponsorship is already part of the hiring plan.
Prepare credentials for a specialty occupation determination
Lenovo's H-1B filings for Software Engineers require USCIS to confirm the role is a specialty occupation. Have your official transcripts, degree equivalency evaluation if your credential is non-U.S., and any professional certifications ready before the petition stage begins.
Frequently Asked Questions
Does Lenovo sponsor H-1B visas for Software Engineers?
Yes, Lenovo sponsors H-1B visas for Software Engineer roles. The company participates in the annual H-1B lottery and files petitions through the USCIS registration process each April for selected candidates. Software Engineers working on firmware, cloud infrastructure, and AI products are among the roles for which Lenovo has an active sponsorship history.
Which visa types does Lenovo commonly use for Software Engineer roles?
Lenovo sponsors H-1B visas as its primary long-term work authorization pathway for Software Engineers. The company also supports F-1 OPT and CPT for students and recent graduates, TN visas for Canadian and Mexican nationals in qualifying engineering roles, and J-1 visa for certain research or exchange positions. The right pathway depends on your nationality, degree, and current status.
How do I apply for Software Engineer jobs at Lenovo?
Applications go through Lenovo's careers portal, where you can filter by function and location. To find roles that explicitly include visa sponsorship, use Migrate Mate to browse verified Lenovo Software Engineer openings filtered by visa type. Tailor your application to the specific product area, whether that is PC hardware, servers, or cloud services, since Lenovo's engineering teams are organized by business unit.
What qualifications does Lenovo typically expect for sponsored Software Engineer positions?
Lenovo generally requires a bachelor's degree or higher in Computer Science, Software Engineering, Electrical Engineering, or a closely related field. This degree requirement is also what USCIS uses to confirm the role qualifies as a specialty occupation for H-1B purposes. Roles in firmware or embedded systems often expect hands-on experience with C, C++, or Linux kernel development in addition to the degree.
How do I time my application around the H-1B filing calendar?
USCIS opens H-1B registration each March, with approved petitions taking effect October 1. If you are targeting an H-1B through Lenovo, engaging with their recruiters between October and February gives your application time to move through internal approvals before the registration window opens. F-1 OPT holders should track their EAD expiration date and confirm cap-gap eligibility if their authorization would otherwise lapse before October 1.