Staff Connectivity Engineer

lambda; Wintzenheim; Sur place; EUR 132 000 - 167 000; Plein temps

Avantages offerts par ce poste

Cash & equity compensation

Health, dental, and vision coverage

Wellness and commuter stipends

401k plan with 2% company match

Flexible paid time off

Résumé du poste

Lambda, The Superintelligence Cloud, seeks a Staff Connectivity Infrastructure Engineer to drive PICS across global data centers, leading documentation, standards, and NPI efforts for robust GPU deployments.

You will collaborate with HPC Architecture, Hardware & Network teams and suppliers to ensure scalable, cost-effective connectivity while accelerating deployment timelines and maintaining performance. SF/SJ on-site 4 days a week.

Qualifications

• Bachelor's degree in a relevant engineering field is required.
• Experience designing cabling architectures for hyperscale or large enterprise environments is essential.
• Strong documentation and cross-functional collaboration skills are required.

Responsabilités

• Develop and maintain PICS documentation, BoD specs, SOP/MOPs for data center cabling.
• Ensure PICS standards enable scalable, cost-effective, high-performance connectivity.
• Lead NPI efforts for cabling components and standards across global DCs.

Connaissances

Data center cabling

Fiber & copper cabling

NPI

Vendor management

Cross-functional leadership

Documentation

AutoCAD/Revit/Bluebeam

Industry standards (TIA/EIA, BICSI,IEC

High-density interconnect

Communication skills

Formation

Bachelor's degree in Electrical/Computer Engineering

Outils

AutoCAD

Revit

Bluebeam

Description du poste

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 or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

As a Staff Connectivity Infrastructure Engineer, you will drive and support the Physical Infrastructure Cabling Standards (PICS) across all of Lambda’s global data centers. Reporting directly to the Principal of Data Center Architecture and Standards, you will focus on developing and implementing connectivity components and infrastructure solutions that support our demanding GPU Cluster deployments, while accelerating deployment timelines, simplifying operations and reducing costs - all while meeting stringent performance expectations. You will also lead New Product Implementation (NPI) efforts for PICS and be responsible for documenting all Standard Operating Procedures (SOPs) and Methods of Procedure (MOPs) for solutions deployed within our data center infrastructure, including colocation white-space fit-outs, equipment installations, and upgrade initiatives.

What You’ll Do

Documentation & Standards Management

• 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.

• Ensure adherence to PICS Standards enabling optimal connectivity performance, scalability, flexibility and continuity within our entire global DC Infrastructure fleet.

• 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.

Innovation, NPI & Industry Alignment

• Stay current with industry trends, emerging cabling technologies, and new data center infrastructure solutions.

• Encourage the adoption of new technologies and keen practices that can improve upon PICS and keep us at the forefront of industry trends.

• 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.

• Assist in deploying connectivity components and PICS standards across global data center projects.

• Conduct regular site visits to assess construction progress, document findings, and resolve PICS-related issues.

Quality, Compliance & Continuous Improvement

• Ensure consistent quality of installations and infrastructure by performing QC/QA to PICS best practices across global deployments.

• Track costs, time to install, capacity utilization and connectivity performance to identify methods to optimize efficiency and effectiveness and reduce costs.

• Contribute to process-improvement initiatives and participate in team knowledge-sharing to advance operating efficiency and alignment with industry best practices.

You

• 10+ years of experience in Data Center cabling infrastructure engineering, connectivity architecture and physical layer design.

• Deep knowledge of fiber-optic and copper cabling systems, termination methods, cable plant architecture, and high-density interconnect solutions.

• Hands-on experience developing installation standards, component specifications, and cabling architectures for hyperscale or large enterprise environments.

• Strong vendor, OEM, and supply chain engagement experience.

• Ability to lead highly technical, cross-functional initiatives involving engineering, construction, and operations.

• Strong documentation, analytical, and communication skills.

• Familiarity with industry standards (TIA/EIA, BICSI, IEC).

• Ability to read, create, and modify technical drawings (AutoCAD, Revit, Bluebeam, or equivalent).

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.

• Ability to influence stakeholders and drive customer-focused outcomes across global programs.

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

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.