Lambda

Lambda

Senior Software Engineer - Core Cloud Platform

San Francisco Office (Fremont St) · Senior

Sponsorship not specifiedDetected 22 days ago
PythonGoDistributed SystemsBackend DevelopmentCode ReviewAWSGCPAzureCloud PlatformsKubernetesSite Reliability EngineeringMachine LearningIncident ResponseResearchMentoring

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 9 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • This role is a strong fit for engineers who enjoy cloud infrastructure, distributed systems, operational excellence, and solving ambiguous problems across software and infrastructure boundaries.
  • Staff engineers additionally shape cross-team architecture and make other teams more effective.

Responsibilities

  • Design, build, and operate services, APIs, control planes, and platform capabilities that power Lambda's AI cloud.
  • Own the full engineering lifecycle: problem framing, architecture, implementation, testing, rollout, observability, on-call, and continuous improvement.
  • Contribute to technical standards, design and code reviews, and mentorship
  • at Staff level, lead cross-team architecture and raise the technical ceiling of the organization.
  • 7+ years of professional software engineering experience, or equivalent evidence of impact building production systems.
  • Experience designing, building, and operating backend services, distributed systems, infrastructure, or platform capabilities at meaningful scale.
  • 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

Requirements

  • Practical understanding of system design, data models, APIs, failure modes, performance, and the tradeoffs required to run reliable software in production.

Nice to have

  • 2+ years of experience building cloud services or platform infrastructure, or operating large-scale production systems on AWS, GCP, Azure, or a comparable cloud platform.
  • Experience with Kubernetes, container orchestration, schedulers, controllers, or cloud control-plane systems.
  • Experience with infrastructure automation, durable workflow systems, event-driven architectures, or infrastructure as code.
  • Experience designing highly available, multi-region, or rapidly scaling distributed systems.
  • Familiarity with GPU infrastructure, HPC environments, or large-scale AI/ML training and inference workloads.
  • 401k Plan with 2% company match (USA employees)

Skills

  • Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
  • One person, one GPU.

Compensation

  • 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.
  • We offer generous cash & equity compensation

Benefits

  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • Flexible paid time off plan that we all actually use

Company info

  • 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.
  • Work across product, infrastructure, networking, storage, security, and SRE teams to resolve dependencies and deliver the right outcome for customers.
  • Depth in at least one general-purpose language, we work primarily in Go and Python, and candidates interview in the language they know best.

Equal opportunity

  • 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.
  • Equal Opportunity Employer

Visa & Work Authorization

  • ational 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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This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.