Lambda Visa Sponsorship Jobs USA
Lambda is an electronics and hardware company that sponsors work visas including H-1B visa and supports F-1 OPT and TN visa candidates. Its sponsorship activity is modest, making it a realistic but selective target for international job seekers in technical hardware and engineering roles.
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Get Access To All JobsINTRODUCTION
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us.
Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
ABOUT THIS ROLE
The Superintelligence Technical Success Engineer is part of Lambda's Superintelligence business unit, dedicated to our largest, most strategic customers operating in the most complex environments. This role owns taking signed deployment from contract to a live, fully operational production environment. The role requires strong technical acumen to validate the build against what was promised, spot gaps, and work effectively with engineering and infrastructure teams to get issues resolved and requirements clearly understood. You'll work alongside the account team, to make sure the customer's requirements and expectations are clearly understood and addressed throughout deployment. This role calls for someone who's ready to dive in wherever the engagement needs them.
- Take signed deployments, from contract, to live, to working production environments, validating configuration, connectivity, storage, and compute against what was promised
- Bring technical depth to validation and troubleshooting conversations — asking the right questions, spotting gaps, and working closely with engineering and infrastructure teams to drive issues to resolution
- Coordinate with Infrastructure, Engineering, Product, and Data Center teams to close technical dependencies and resolve blockers
- Own a current, accurate technical picture of the deployment — what's built, what's open, what's at risk
- Keep stakeholders informed with clear, regular status updates: RAG status, top risks, and what's being done about them
- Guide the customer through onboarding to their first successful production workload
- Be the customer's go-to technical contact through deployment and early production
- Feed recurring technical patterns back into reusable runbooks, checklists, or automation
- Transition out once the customer is stable and self-sufficient, keeping the broader account team informed along the way
YOU
- 4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems
- Comfortable being the technical voice in the room able to validate builds, spot gaps, and hold engineering teams accountable for resolving them
- Strong troubleshooting instincts and a willingness to get into the weeds of networking, storage, or compute issues
- Track record of coordinating across engineering and infrastructure teams to close out technical dependencies
- Clear written and verbal communication for status updates and technical documentation
- A bias toward diving in and taking ownership, rather than waiting for a fully defined process
NICE TO HAVE
- Exposure to large-scale GPU cluster deployments
- Familiarity with project/program tracking tools and structured status reporting
- Experience building runbooks or checklists that outlived the engagement they were built for
SALARY RANGE INFORMATION
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
ABOUT LAMBDA
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
EQUAL OPPORTUNITY EMPLOYER
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
COMPENSATION RANGE
- Compensation Range: $251K - $335K
INTRODUCTION
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us.
Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
ABOUT THIS ROLE
The Superintelligence Technical Success Engineer is part of Lambda's Superintelligence business unit, dedicated to our largest, most strategic customers operating in the most complex environments. This role owns taking signed deployment from contract to a live, fully operational production environment. The role requires strong technical acumen to validate the build against what was promised, spot gaps, and work effectively with engineering and infrastructure teams to get issues resolved and requirements clearly understood. You'll work alongside the account team, to make sure the customer's requirements and expectations are clearly understood and addressed throughout deployment. This role calls for someone who's ready to dive in wherever the engagement needs them.
- Take signed deployments, from contract, to live, to working production environments, validating configuration, connectivity, storage, and compute against what was promised
- Bring technical depth to validation and troubleshooting conversations — asking the right questions, spotting gaps, and working closely with engineering and infrastructure teams to drive issues to resolution
- Coordinate with Infrastructure, Engineering, Product, and Data Center teams to close technical dependencies and resolve blockers
- Own a current, accurate technical picture of the deployment — what's built, what's open, what's at risk
- Keep stakeholders informed with clear, regular status updates: RAG status, top risks, and what's being done about them
- Guide the customer through onboarding to their first successful production workload
- Be the customer's go-to technical contact through deployment and early production
- Feed recurring technical patterns back into reusable runbooks, checklists, or automation
- Transition out once the customer is stable and self-sufficient, keeping the broader account team informed along the way
YOU
- 4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems
- Comfortable being the technical voice in the room able to validate builds, spot gaps, and hold engineering teams accountable for resolving them
- Strong troubleshooting instincts and a willingness to get into the weeds of networking, storage, or compute issues
- Track record of coordinating across engineering and infrastructure teams to close out technical dependencies
- Clear written and verbal communication for status updates and technical documentation
- A bias toward diving in and taking ownership, rather than waiting for a fully defined process
NICE TO HAVE
- Exposure to large-scale GPU cluster deployments
- Familiarity with project/program tracking tools and structured status reporting
- Experience building runbooks or checklists that outlived the engagement they were built for
SALARY RANGE INFORMATION
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
ABOUT LAMBDA
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
EQUAL OPPORTUNITY EMPLOYER
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
COMPENSATION RANGE
- Compensation Range: $251K - $335K
Job Roles at Lambda
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Get Access To All JobsTips for Finding Lambda Visa Sponsorship Jobs USA
Target hardware and engineering roles first
Lambda's sponsorship history is concentrated in technical disciplines tied to its electronics and hardware core. Focus your application on engineering, firmware, or hardware design roles where sponsorship need is highest and employer motivation to hire internationally is strongest.
Understand which visa types Lambda actually supports
Lambda sponsors H-1B visas and supports F-1 OPT and TN candidates. If you're on OPT, you may have a faster path in. Know which category fits your situation before applying so your cover letter reflects the right timeline and work authorization context.
Apply early if your OPT expiration is approaching
For F-1 OPT candidates, timing matters significantly. Lambda's relatively selective sponsorship pace means you should initiate contact and apply well before your OPT runs out, leaving enough runway for an H-1B petition if the role converts to full sponsorship.
Emphasize specialized technical skills in your application
In electronics and hardware, niche technical expertise commands the most employer investment. Highlight skills in areas like embedded systems, PCB design, or hardware architecture, the more specific your specialization, the stronger the case for sponsorship over a domestic hire.
Research Lambda's open roles before reaching out
Lambda hires selectively, so matching your background precisely to an open role matters more than a speculative application. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and find Lambda's active listings in one place.
TN candidates should confirm role eligibility before applying
Lambda supports TN visas, but not every hardware role qualifies under USMCA's approved occupations list. Canadian and Mexican applicants should verify their specific job title maps to a qualifying TN category before investing time in the application process.
Frequently Asked Questions
Does Lambda sponsor H-1B visas?
Yes, Lambda sponsors H-1B visas. Its sponsorship activity is focused rather than high-volume, which means the company is selective about the roles it files for. Candidates with specialized technical backgrounds in electronics or hardware are best positioned to secure H-1B sponsorship at Lambda.
What visa types does Lambda support beyond H-1B?
In addition to the H-1B, Lambda supports F-1 OPT and TN visa work authorization. F-1 OPT holders can often start immediately while a longer-term H-1B petition is planned. TN is available specifically to Canadian and Mexican nationals in roles that qualify under USMCA occupational categories.
What types of roles at Lambda are most likely to receive visa sponsorship?
Lambda's sponsorship tends to align with its core electronics and hardware focus. Technical roles in engineering, hardware development, and related disciplines are the most common targets. Candidates in highly specialized positions where Lambda cannot easily source domestic talent have the strongest case for sponsorship.
How do I find open visa-sponsored jobs at Lambda?
Migrate Mate is the most efficient way to find Lambda's sponsored roles. It aggregates job listings from verified sponsoring employers and lets you filter by visa type and company, so you can confirm Lambda is actively hiring before you spend time tailoring an application.
How do I time my application to Lambda if I need H-1B sponsorship?
H-1B petitions must be filed by April 1 for an October 1 start date, so working backward from that deadline is essential. If you're currently on OPT or TN status, aim to have an offer finalized by late January or February to give Lambda enough time to prepare and submit the petition without rushing.