Lambda

Senior Data Center Operations Systems Engineer (Quebec City, Canada)

Québec City, Quebec, Canada · On-site · FullTime

CAD 83,200–124,800/year

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerLambda
  • LocationQuébec City, Quebec, Canada
  • Work styleOn-site
  • Employment typeFullTime
  • Employer posted
  • Salary (as stated by the employer)CAD 83,200 – 124,800 per year

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

Show full description

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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  • CAD a year, after annualising83,200–380,000 (22 listings, 10 employers)

At a glance

  • Work styleOn-site
  • Employment typeFullTime
  • SenioritySenior
  • Salary (as stated by the employer)CAD 83,200–124,800 per year
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

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Jira Zendesk Machine learning

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