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Lambda

Technical Success Engineer

Remote (USA) · Remote · US only Posted today

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Skills this job asks for

KubernetesLinuxNetworkingMachine learning

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Where you can work from

United States only

Based on the listing's location: Remote (USA).

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Lambda paid sponsored hires in similar roles6 certified filings for “Senior Software Engineer” (Software Developers) in CA: $263k–$296k, median $285k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Lambda paid sponsored hires in similar roles
6 certified filings for “Senior Software Engineer” (Software Developers) in CA: $263k–$296k, median $285k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →

About the role

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. 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. What You'll Do • 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-

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