Lambda
Staff Connectivity Engineer
San Francisco Office (Fremont St) · Staff+
Sponsorship not specifiedDetected 8 days ago
Cloud PlatformsMachine LearningSupply ChainVendor ManagementAutoCADNetwork EngineeringResearchCommunicationRevit
About the role
- 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.
Responsibilities
- Develop and maintain all PICS (Physical Infrastructure Cabling Standards) documentation, including Basis of Design (BoD) specifications, component-level details, and operational and installation SOP/MOP's.
- Develop and publish dashboards that broadcast our business operations, key Metrics & KPI's, Project status and issues that impact our area can be resolved quickly and effectively.
- Cross-Functional Team & Vendor Management Support
- Serve as the primary PICS subject-matter expert for Internal Teams - providing guidance and support to our HPC Architecture, Hardware & Network Engineering, PMO, Supply Chain and Data Center Operations Teams.
- Build and maintain strong relationships with Manufacturers and Suppliers to help ensure supply chain continuity, cost effectiveness and quality assurance.
- Review and develop the detailed BOM's with Suppliers to ensure our components are built to PICS Standards and they meet our exact connectivity specification requirements.
- Drive the development, qualification, and implementation of new connectivity products and standards into production (NPI).
- Project & Deployment Support
- Participate in design reviews and page-turn sessions, providing technical guidance for cabling infrastructure specifications in new data center builds.
- Conduct regular site visits to assess construction progress, document findings, and resolve PICS-related issues.
Requirements
- 10+ years of experience in Data Center cabling infrastructure engineering, connectivity architecture and physical layer design.
Nice to have
- Experience with AI/HPC cluster architectures and GPU-dense deployments.
- Background in NPI, qualification testing, or component engineering.
- Industry certifications (e.g., RCDD, DCDC, CFHP, BICSI).
- Experience with optical test equipment, inspection, and fiber QA workflows.
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
- We offer generous cash & equity compensation
- 401k Plan with 2% company match (USA employees)
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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.