Posted 5 days ago
Senior Data Center Operations Systems Engineer (Quebec City, Canada)
@ Lambda
Québec, Quebec
Overview
Lambda, an AI cloud infrastructure provider, is hiring a Senior Data Center Operations Systems Engineer in Quebec City to rack, cable, configure and troubleshoot GPU and networking systems in its data center. The role involves on-site work five days a week on shift, with some travel to bring up new data center locations. Salary is set as a salaried role eligible for overtime.
Pay:
$83,200–$124,800 a year
Responsibilities:
- Install, label and configure new server, storage and network infrastructure
- Troubleshoot hardware and software issues on GPU and networking systems
- Maintain data center layout and network topology in DCIM software
- Manage parts depot inventory and deployment process
- Coordinate RMA returns and replacement orders
Requirements summary:
- Strong experience with critical data center infrastructure systems
- Knowledge of fiber testing, cable optics and carrier circuit turn-up
- Solid understanding of single and three phase power
- Familiarity with hot and cold aisle containment
- Willingness to travel for new data center bring-ups
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-11-02
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-11-02
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | IT |
| Hours per week | 40 (estimated) |
| Schedule | overtime |
| Travel | air: minimal |
| Work setting | Warehouse, Client sites |
| Position | Sitting and standing |
| Physical demands | physical moderate · computer high |
| Languages | English |
| Perks mentioned | Generous paid time off, Flexible hours, Stock or equity, Wellness, Transit support, Home office allowance |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Lambda
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The Superintelligence Cloud
Full company description
The Superintelligence Cloud
- LinkedIn followers
- 46,626
- People associated on LinkedIn
- 757
- Reported office locations
- 45 Fremont St, San Francisco, California 94105, US
- 2510 Zanker Rd, San Jose, California 95131, US
- Business categories
- Artificial Intelligence
- Software
- Data Center
- Hardware
- GPU
- Cloud Computing
- Artificial Intelligence (AI)
- Machine Learning
- AI Infrastructure
- Other recorded names
- Lambda
- Specialties
- Deep Learning
- Machine Learning
- Artificial Intelligence
- LLMs
- Generative AI
- Foundation Models
- GPUs
- Distributed Training
- Superintelligence
- AI Infrastructure
- and AI Factories
- Profile identifies a recruitment agency
- No
- Reported total investment
- 3,573,500,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
The Superintelligence Cloud
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 501-1,000 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2012 |
| Specialties | Deep LearningMachine LearningArtificial IntelligenceLLMsGenerative AIFoundation ModelsGPUsDistributed TrainingSuperintelligenceAI Infrastructure |
| Open jobs on Jobsy | 1 |
| View page |
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 Quebec City, Canada Data Center 5 days per week; shift work.
What You'll Do
Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.
Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.
Document and update data center layout and network topology in DCIM software
Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.
Work with RMA team to ensure faulty parts are returned and replacements are ordered
Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
You
Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting
Basic knowledge of cable optics and the different types of use
Solid understanding of single and three phase power theories
PDU balancing and why it is important
Familiar with multiple cable media types and their uses
Knowledge of cold isle and hot isle containment
Solid understanding of server hardware and boot process
Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.
Working with product management, support, and other teams to align operational capabilities with company goals.
Translating business priorities into technical and operational requirements.
Supporting cross-functional projects where infrastructure plays a critical role.
Are action-oriented and willingness to train junior staff on best practices
Are willing to travel for bring up of new data center locations as needed
Nice to Have
Have 3+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.
Experience with/or knowledge of DDP or SCM cluster storage systems.
Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk
Advanced experience with Linux administration
Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72
Salary Range Information
This is a salaried role, eligible for overtime. 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.
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