Engineering Jobs at Lenovo with Visa Sponsorship
Engineering jobs at Lenovo span hardware design, firmware development, systems integration, and supply chain technology. The company has an established track record of sponsoring work visas for Engineering roles, supporting candidates through the filing process as part of its broader strategy to recruit specialized technical talent.
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Get Access To All JobsGENERAL INFORMATION
Req #
WD00099983
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Thursday, June 4, 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 #196 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
ABOUT OUR TEAM
We are building Qira, Lenovo's next-generation cross-device Personal AI platform that delivers intelligent, context-aware experiences across Windows, Android, and the cloud.
This role focuses on leading the engineering strategy and execution for enterprise-grade AI platform capabilities, enabling Qira to be adopted by business customers at scale. You will play a key role in defining how AI-driven experiences are built, secured, integrated, and delivered across enterprise environments - from identity and access management to workflow automation and unified knowledge retrieval.
- Lead the architecture and delivery of enterprise-grade AI platform capabilities, including identity federation, access controls, audit and compliance infrastructure, and multi-tenant deployment models.
- Build and scale a high-performing engineering team - including distributed and international members - focused on enterprise integration, reliability, and scalability.
- Contribute hands-on to technical design, architecture, and development alongside the team - this is a coding role as much as a leadership role, and the expectation is that you can build what you are directing others to build.
- Drive the design and development of an enterprise administration portal that enables IT administrators at customer organizations to provision users, connect corporate identity providers, configure policies and permissions, manage phased rollouts, and monitor usage and audit activity across their Qira deployment.
- Define how Qira systems authenticate, authorize, and interact with enterprise identity providers and corporate IT environments, ensuring seamless and secure adoption by business customers.
- Drive the design and implementation of workflow automation use cases that connect Qira to the enterprise systems employees and IT teams use every day, enabling intelligent, agentic experiences across functions like employee onboarding, approval management, and productivity workflows.
- Build and maintain close alignment with Lenovo's commercial and sales teams to gather enterprise customer requirements, shape go-to-market readiness, and ensure the engineering team is directly informed by what enterprises actually need to adopt Qira.
- Translate commercial requirements - including security posture, deployment and configuration models, integration patterns, observability, manageability, identity, and audit - into concrete engineering programs and workstreams.
- Coordinate engineering readiness for commercial milestones including previews, pilots, and general availability launches, ensuring the right technical checks, documentation, and quality gates are in place.
- Provide technical input and ground-level signal to leadership on how product decisions will impact enterprise adoption, helping the team stay ahead of commercial requirements during development.
- Establish engineering best practices for enterprise AI systems, including deterministic workflow design, observability, error handling, and end-to-end auditability.
- Lead technical discovery with enterprise process owners to scope high-impact use cases, working backwards from business outcomes to define what gets built and in what order.
- Oversee integration of Qira's knowledge layer with enterprise data sources, enabling unified retrieval across on-device and cloud-hosted content without requiring users to know where information lives.
- Define and track success metrics for enterprise deployments - adoption rates, workflow completion, time-to-value - and build the observability infrastructure to surface them.
- Collaborate with ecosystem partners and platform teams to define integration contracts, resolve cross-system issues, and optimize reliability at scale.
BASIC QUALIFICATIONS
- 5+ years of Experience managing and leading software Engineering teams to deliver cross-functional initiatives.
- 12+ years of Experience building and scaling distributed systems, platforms, or real-time products.
- Proficiency and demonstrated ability to serve as a hands-on technical leader contributing to production code.
- 3 years of Experience delivering AI-driven distributed systems, platforms or real-time products.
- Strong program management skillset with proven success scoping MVPs, manage timelines, resolve dependencies, and ship in a fast-paced environment.
- Bachelor's degree in Engineering, Computer Science, or a related technical field.
PREFERRED QUALIFICATIONS
- 7+ years of Experience managing and leading software Engineering teams to deliver cross-functional initiatives.
- 15+ years of Experience building and scaling distributed systems, platforms, or real-time products, with ideally 5 years of experience building AI products.
- Current hands-on Expertise and willingness to lead by example: ability to write production code and provide hands-on engineering contribution is desired.
- 3 years of hands-on Experience working on AI/ML systems, LLM-based applications, or intelligent workflows.
- Experience delivering software that meets enterprise security, compliance, and IT manageability requirements - including audit logging, data segmentation, access controls, and engagement with security review processes.
- Experience with enterprise identity and authentication standards: SSO, SAML 2.0, OAuth, RBAC, and MFA integration across corporate identity providers.
- Familiarity with WorkOS and Auth0 for SSO, SCIM provisioning, domain verification, and user lifecycle management within a SaaS or AI product is strongly preferred.
- Experience with workflow orchestration, integration middleware, or API-based systems that connect enterprise applications across functions such as HR, IT, finance, and sales.
- Excellent communication skills with the ability to engage technical and non-technical stakeholders, including enterprise IT leaders and commercial teams.
- Ability to translate product and ecosystem strategy into clear technical direction and execution.
- Experience working with commercial or B2B enterprise customers through pilot programs or beta deployments.
- Experience building and cultivating relationships with enterprise partners such as WorkOS and Auth0.
- Exposure to device management platforms or commercial PC software ecosystems.
- Experience managing distributed or global engineering teams.
- Master's Degree in Engineering or Computer Science preferred.
The base salary budgeted range for this position is $190-210k. Individuals may also be considered for bonus and/or commission.
Lenovo’s various benefits can be found on www.lenovobenefits.com.
In compliance with Colorado's EPEWA, the expected application deadline for this position is August 7, 2026. This applies to both external and internal candidates.
LI-FL1
LI-Remote
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 #
WD00099983
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Thursday, June 4, 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 #196 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
ABOUT OUR TEAM
We are building Qira, Lenovo's next-generation cross-device Personal AI platform that delivers intelligent, context-aware experiences across Windows, Android, and the cloud.
This role focuses on leading the engineering strategy and execution for enterprise-grade AI platform capabilities, enabling Qira to be adopted by business customers at scale. You will play a key role in defining how AI-driven experiences are built, secured, integrated, and delivered across enterprise environments - from identity and access management to workflow automation and unified knowledge retrieval.
- Lead the architecture and delivery of enterprise-grade AI platform capabilities, including identity federation, access controls, audit and compliance infrastructure, and multi-tenant deployment models.
- Build and scale a high-performing engineering team - including distributed and international members - focused on enterprise integration, reliability, and scalability.
- Contribute hands-on to technical design, architecture, and development alongside the team - this is a coding role as much as a leadership role, and the expectation is that you can build what you are directing others to build.
- Drive the design and development of an enterprise administration portal that enables IT administrators at customer organizations to provision users, connect corporate identity providers, configure policies and permissions, manage phased rollouts, and monitor usage and audit activity across their Qira deployment.
- Define how Qira systems authenticate, authorize, and interact with enterprise identity providers and corporate IT environments, ensuring seamless and secure adoption by business customers.
- Drive the design and implementation of workflow automation use cases that connect Qira to the enterprise systems employees and IT teams use every day, enabling intelligent, agentic experiences across functions like employee onboarding, approval management, and productivity workflows.
- Build and maintain close alignment with Lenovo's commercial and sales teams to gather enterprise customer requirements, shape go-to-market readiness, and ensure the engineering team is directly informed by what enterprises actually need to adopt Qira.
- Translate commercial requirements - including security posture, deployment and configuration models, integration patterns, observability, manageability, identity, and audit - into concrete engineering programs and workstreams.
- Coordinate engineering readiness for commercial milestones including previews, pilots, and general availability launches, ensuring the right technical checks, documentation, and quality gates are in place.
- Provide technical input and ground-level signal to leadership on how product decisions will impact enterprise adoption, helping the team stay ahead of commercial requirements during development.
- Establish engineering best practices for enterprise AI systems, including deterministic workflow design, observability, error handling, and end-to-end auditability.
- Lead technical discovery with enterprise process owners to scope high-impact use cases, working backwards from business outcomes to define what gets built and in what order.
- Oversee integration of Qira's knowledge layer with enterprise data sources, enabling unified retrieval across on-device and cloud-hosted content without requiring users to know where information lives.
- Define and track success metrics for enterprise deployments - adoption rates, workflow completion, time-to-value - and build the observability infrastructure to surface them.
- Collaborate with ecosystem partners and platform teams to define integration contracts, resolve cross-system issues, and optimize reliability at scale.
BASIC QUALIFICATIONS
- 5+ years of Experience managing and leading software Engineering teams to deliver cross-functional initiatives.
- 12+ years of Experience building and scaling distributed systems, platforms, or real-time products.
- Proficiency and demonstrated ability to serve as a hands-on technical leader contributing to production code.
- 3 years of Experience delivering AI-driven distributed systems, platforms or real-time products.
- Strong program management skillset with proven success scoping MVPs, manage timelines, resolve dependencies, and ship in a fast-paced environment.
- Bachelor's degree in Engineering, Computer Science, or a related technical field.
PREFERRED QUALIFICATIONS
- 7+ years of Experience managing and leading software Engineering teams to deliver cross-functional initiatives.
- 15+ years of Experience building and scaling distributed systems, platforms, or real-time products, with ideally 5 years of experience building AI products.
- Current hands-on Expertise and willingness to lead by example: ability to write production code and provide hands-on engineering contribution is desired.
- 3 years of hands-on Experience working on AI/ML systems, LLM-based applications, or intelligent workflows.
- Experience delivering software that meets enterprise security, compliance, and IT manageability requirements - including audit logging, data segmentation, access controls, and engagement with security review processes.
- Experience with enterprise identity and authentication standards: SSO, SAML 2.0, OAuth, RBAC, and MFA integration across corporate identity providers.
- Familiarity with WorkOS and Auth0 for SSO, SCIM provisioning, domain verification, and user lifecycle management within a SaaS or AI product is strongly preferred.
- Experience with workflow orchestration, integration middleware, or API-based systems that connect enterprise applications across functions such as HR, IT, finance, and sales.
- Excellent communication skills with the ability to engage technical and non-technical stakeholders, including enterprise IT leaders and commercial teams.
- Ability to translate product and ecosystem strategy into clear technical direction and execution.
- Experience working with commercial or B2B enterprise customers through pilot programs or beta deployments.
- Experience building and cultivating relationships with enterprise partners such as WorkOS and Auth0.
- Exposure to device management platforms or commercial PC software ecosystems.
- Experience managing distributed or global engineering teams.
- Master's Degree in Engineering or Computer Science preferred.
The base salary budgeted range for this position is $190-210k. Individuals may also be considered for bonus and/or commission.
Lenovo’s various benefits can be found on www.lenovobenefits.com.
In compliance with Colorado's EPEWA, the expected application deadline for this position is August 7, 2026. This applies to both external and internal candidates.
LI-FL1
LI-Remote
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 Engineering Jobs at Lenovo
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Jobs at Lenovo.
Get Access To All JobsTips for Finding Engineering Jobs at Lenovo
Align your credentials to Lenovo's hardware stack
Lenovo engineering roles often span firmware, PCB design, and systems architecture. Frame your resume around specific hardware disciplines rather than general software experience. Hiring managers for Electronics and Hardware roles are filtering for depth in a technical domain, not breadth.
Target roles in Lenovo's Intelligent Devices Group
Lenovo's engineering hiring concentrates heavily in product lines like ThinkPad, ThinkStation, and data center infrastructure. Applying directly to business units with active hardware development cycles increases your chances of landing with a team that actively sponsors visas for technical roles.
Use Migrate Mate to surface sponsored Engineering openings
Not every Engineering posting at Lenovo explicitly advertises visa sponsorship. Browse Migrate Mate to filter Lenovo Engineering roles by verified sponsorship history, so you're applying to positions where sponsorship is a known outcome rather than an assumption.
Prepare your LCA documentation before your offer stage
Lenovo must file a Labor Condition Application with the DOL before your H-1B petition can proceed. Knowing your prevailing wage level for your role and location in advance helps you evaluate offers accurately and flag any mismatches before the filing clock starts.
Clarify CPT and OPT authorization with your university early
If you're on F-1 status and interviewing for Lenovo internships or new graduate roles, your Designated School Official must authorize CPT or OPT before your start date. Delays in DSO authorization, not employer readiness, are the most common reason internship start dates slip.
Request a defined sponsorship timeline during the offer negotiation
For H-1B cap-subject roles, USCIS registration opens in March for an October 1 start. Ask Lenovo's recruiting team whether they file with premium processing and what their internal deadline is for H-1B registration, so you can plan around the lottery outcome.
Frequently Asked Questions
Does Lenovo sponsor H-1B visas for Engineers?
Yes. Lenovo sponsors H-1B visas for Engineering roles, particularly in hardware design, firmware, and systems engineering. Sponsorship is handled through Lenovo's internal immigration team in coordination with outside counsel. If you're in the H-1B cap-subject pool, your petition would be subject to the USCIS lottery, with registration typically opening each March for an October 1 start date.
How do I apply for Engineering jobs at Lenovo?
Apply directly through Lenovo's careers portal or browse verified sponsorship-eligible openings on Migrate Mate. When applying, tailor your application to the specific engineering discipline the role requires, whether that's hardware, firmware, or systems integration. Lenovo's recruiting process for Engineering typically includes a technical screen, panel interviews with the engineering team, and a hiring manager review before an offer is extended.
Which visa types does Lenovo commonly use for Engineering roles?
Lenovo supports several visa categories for Engineering hires. H-1B is the most common path for full-time roles. F-1 OPT and CPT are used for student interns and new graduates still within their authorized training period. TN visas are available to Canadian and Mexican nationals in qualifying engineering occupations. J-1 visa is used for research or intern exchange roles in some cases.
What qualifications does Lenovo expect for sponsored Engineering positions?
Most sponsored Engineering roles at Lenovo require a bachelor's degree or higher in electrical engineering, computer engineering, mechanical engineering, or a closely related field. For H-1B eligibility, the role must qualify as a specialty occupation under USCIS standards, meaning the degree requirement must be specific to the field. Roles in hardware design and firmware development typically meet this threshold. Relevant industry experience in Electronics and Hardware strengthens your candidacy significantly.
How long does the visa sponsorship process take for a Lenovo Engineering role?
Timeline depends on visa type. For H-1B cap-subject roles, the earliest a new hire can start is October 1, following USCIS lottery selection in March or April. Lenovo can file up to six months before that date. F-1 OPT authorization from USCIS typically takes up to 90 days, so apply to your school's DSO well before your intended start date. Premium processing from USCIS can reduce H-1B petition adjudication to 15 business days once filed.