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Software Development

Technical Success Engineer

Lambda · United States · full-time · Remote

Software Developmentfull-timeRemoteUnited StatesUSD 214,000 – 285,000 / yearly
Technical SupportAny
RemoteJobs editorial overview

Strategic Overview

Technical Success Engineer at Lambda is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as 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,….

The role is listed for United States with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Technical Support, Any.

Job seeker snapshot

Key information at a glance

Role focusSoftware Development
LocationUnited States
WorkplaceRemote
Employmentfull-time
Experience4+ years
SalaryUSD 214,000 – 285,000 / yearly
PostedOct 20, 2026
Last seenOct 23, 2026
Role context

About This 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

What the role delivers

Key Responsibilities & Objectives

  • 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
  • Exposure to large-scale GPU cluster deployments
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • 4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems
  • Track record of coordinating across engineering and infrastructure teams to close out technical dependencies
  • Familiarity with project/program tracking tools and structured status reporting
Compensation & benefits

Salary & Benefits

Published compensation: USD 214,000 – 285,000 / yearly

  • 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
Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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-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:

  • 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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This dev opening is a useful opportunity for candidates whose experience matches Technical Support, Any. Its strongest career signal is the scope of the work itself — particularly 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 — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground Technical Support, Any, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencyjobicy

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.