Technician Jobs at Lambda with Visa Sponsorship
Lambda builds the infrastructure powering AI research, and Technician roles sit at the core of that work, supporting hardware systems across its data centers and labs. Lambda has sponsored work visas for Technicians, making it a viable target if you're navigating F-1 OPT, H-1B, or TN status.
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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 office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
- Lead and manage large-scale, complex software development programs from initiation through delivery, ensuring timely, high-quality execution of roadmap commitments for the Lambda AI Cloud compute platform.
- Define program scope, objectives, success criteria, and governance, translating product requirements and technical strategy into actionable work plans and milestones.
- Possess a strong technical background to effectively engage with engineers on technical design decisions, architecture reviews, and sizing of deliverables for AI cloud services.
- Proactively identify, assess, and manage risks, dependencies, and trade-offs, developing mitigation strategies and communicating impact clearly to leadership.
- Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.
YOU
- 8+ years of experience in a technical program management and/or technical management role.
- Possess a deep understanding of software development life cycles, cloud infrastructure, and the unique challenges associated with delivering high-performance AI compute solutions.
- Prior experience working on AI/ML infrastructure, GPU/accelerator platforms, or container orchestration technologies (e.g., Kubernetes).
- Proven experience delivering large-scale cloud-based products or services, with a strong preference for experience in infrastructure, distributed systems, or high-performance computing (HPC)/AI/ML platforms.
- Expert-level knowledge of software development life cycle (SDLC) methodologies and project management tools.
NICE TO HAVE
- Demonstrated ability to drive strategic decision-making in ambiguous technical domains.
- Excellent analytical, problem-solving, and organizational skills, with the ability to manage multiple programs concurrently.
- Experience operating in a rapidly scaling environment.
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.
A FINAL NOTE:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
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.

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 office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
- Lead and manage large-scale, complex software development programs from initiation through delivery, ensuring timely, high-quality execution of roadmap commitments for the Lambda AI Cloud compute platform.
- Define program scope, objectives, success criteria, and governance, translating product requirements and technical strategy into actionable work plans and milestones.
- Possess a strong technical background to effectively engage with engineers on technical design decisions, architecture reviews, and sizing of deliverables for AI cloud services.
- Proactively identify, assess, and manage risks, dependencies, and trade-offs, developing mitigation strategies and communicating impact clearly to leadership.
- Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.
YOU
- 8+ years of experience in a technical program management and/or technical management role.
- Possess a deep understanding of software development life cycles, cloud infrastructure, and the unique challenges associated with delivering high-performance AI compute solutions.
- Prior experience working on AI/ML infrastructure, GPU/accelerator platforms, or container orchestration technologies (e.g., Kubernetes).
- Proven experience delivering large-scale cloud-based products or services, with a strong preference for experience in infrastructure, distributed systems, or high-performance computing (HPC)/AI/ML platforms.
- Expert-level knowledge of software development life cycle (SDLC) methodologies and project management tools.
NICE TO HAVE
- Demonstrated ability to drive strategic decision-making in ambiguous technical domains.
- Excellent analytical, problem-solving, and organizational skills, with the ability to manage multiple programs concurrently.
- Experience operating in a rapidly scaling environment.
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.
A FINAL NOTE:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
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.
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Get Access To All JobsTips for Finding Technician Jobs at Lambda Jobs
Align Your Credentials to Hardware Lab Standards
Lambda's Technician roles involve hands-on work with GPU clusters, servers, and data center infrastructure. Certifications like CompTIA A+, Network+, or vendor-specific hardware credentials strengthen your application and signal readiness for the technical environment Lambda operates in.
Target Lambda's Data Center Locations Strategically
Lambda operates facilities in multiple U.S. cities. Applying to locations with active hardware buildouts increases your chances, since Technician headcount tends to expand with infrastructure deployment. Check which sites have the most open roles before submitting.
Use Migrate Mate to Filter Lambda's Open Technician Roles
Lambda posts Technician openings across multiple channels, and not all listings flag sponsorship availability clearly. Migrate Mate lets you filter Lambda roles by visa type so you can focus only on positions where sponsorship is confirmed.
Confirm TN Eligibility Before Applying as a Canadian or Mexican National
TN status covers certain electronics and engineering technician roles, but the job title must align with the USMCA's defined occupational categories. Review the DOL's TN classification criteria against Lambda's posted job description before your interview to avoid mismatches at the border.
Time Your OPT Application to Lambda's Hiring Cycles
F-1 OPT authorization takes up to 90 days to process through USCIS. If Lambda's Technician roles align with your graduation timeline, start your OPT application early enough that your Employment Authorization Document arrives before your expected start date.
Prepare for an H-1B Petition That Justifies Specialty Occupation
Technician roles can face USCIS scrutiny under the H-1B specialty occupation standard. Work with your employer's immigration counsel to document how Lambda's specific role requires a theoretical and practical application of engineering or computer science knowledge, not just technical skills.
Technician at Lambda jobs are hiring across the US. Find yours.
Find Technician at Lambda JobsFrequently Asked Questions
Does Lambda sponsor H-1B visas for Technicians?
Lambda has sponsored H-1B visas for Technician roles, though sponsorship decisions are made on a per-role basis. Because H-1B status requires the position to qualify as a specialty occupation, Lambda's Technician roles typically need to involve complex, degree-requiring technical work with GPU or data center systems. Confirm sponsorship availability directly during the hiring process.
How do I apply for Technician jobs at Lambda?
Lambda posts open Technician positions on its careers page. To find roles that explicitly offer visa sponsorship, use Migrate Mate, which filters Lambda's listings by visa type so you're not wasting time on roles that won't support your immigration status. Tailor your resume to highlight hands-on hardware experience relevant to AI infrastructure environments.
Which visa types are commonly used for Technician roles at Lambda?
Lambda has sponsored H-1B, F-1 OPT, and TN visas for Technician positions. F-1 OPT is common for recent graduates entering hardware support roles. TN is available to Canadian and Mexican nationals whose job function falls within USMCA-recognized technician categories. H-1B covers a broader range but requires the role to meet USCIS specialty occupation standards.
What qualifications does Lambda expect for Technician roles?
Lambda's Technician positions generally require experience with server hardware, GPU systems, or data center operations. A degree in electronics, computer hardware, or a related engineering field strengthens your application, particularly for H-1B sponsorship. Hands-on experience troubleshooting high-density compute infrastructure is weighted heavily given Lambda's AI-focused environment.
How do I think about the timeline for starting a Technician role at Lambda on a work visa?
Timeline depends on your visa type. F-1 OPT authorization takes up to 90 days through USCIS, so apply early relative to your start date. TN status can be obtained at the border for Canadian nationals, making it faster. H-1B requires an annual lottery with a cap, so new H-1B sponsorship typically means waiting for an October 1 start date after a March registration period.
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