Publié il y a 7 jours
Senior Software Engineer - DGX Cloud
@ NVIDIA Canada Dev. Inc.
Toronto, Ontario
En bref
NVIDIA Canada Dev. Inc. is hiring a Senior Software Engineer for its DGX Cloud team to scale the AI infrastructure behind data science applications. The role is full-time with a base salary of 135,000 to 220,000 CAD depending on level, plus equity and benefits. Applications are accepted at least until November 7, 2026.
Responsabilités :
- Automate GPU asset provisioning, configuration and lifecycle management
- Build automation for data center management and break/fix
- Implement monitoring and health management for GPU assets
- Build automated test infrastructure for distributed systems
Résumé des exigences :
- 5+ years on large-scale production systems
- Expert in Go, Python or Rust
- Strong Linux system administration
- Deep knowledge of Kubernetes and/or SLURM
Outils et compétences
Source et dates
Site carrière / système de candidatures · workday
- Date publiée par l’employeur
- 2026-11-02
- Première détection par notre source
- 2026-11-02
- Mise à jour du dossier source
- 2026-11-03
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Chez les clients |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer Science, Computer Engineering, Physics, Mathematics |
| Avantages mentionnés | Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
NVIDIA Canada Dev. Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 20 |
Join a team of engineers at NVIDIA dedicated to scaling the AI infrastructure that powers cutting-edge data science applications. Our team solves complex challenges across datacenter hardware, networking, distributed systems, and software deployment. We collaborate closely to design and deliver leading infrastructure solutions. We value strong technical foundations paired with creative thinking and a bias toward execution. Together, we continuously push boundaries, grow our skills, and advance NVIDIA’s capacity to build and deploy AI-based infrastructure at scale.
What you will be doing:
- Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
- Build end-to-end automation of data center management, break/fix, and the full span of system upkeep for large-scale Machine Learning systems.
- Implement monitoring and health management capabilities that enable industry-leading reliability, availability, and scalability of GPU assets.
- Harness multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
- Build automated test infrastructure that we use to qualify distributed systems for operation.
- Partner with engineering teams across NVIDIA to ensure the software integrates seamlessly from the hardware all the way up to the AI training applications.
What we need to see:
- 5+ years of experience in a similar role working on large-scale production systems.
- BS in Computer Science/Engineering/Physics/Mathematics or other comparable degree, or equivalent experience.
- Expert level knowledge of a systems programming language (Go, Python, and/or Rust) and a solid understanding of Data Structures and Algorithms.
- Strong background in Linux system administration and management.
- Deep knowledge of container orchestration platforms such as Kubernetes and/or SLURM.
- Understanding of performance, security, and reliability in complex distributed systems.
- Familiarity with system level architecture, data synchronization, fault tolerance, and state management.
Ways to stand out from the crowd:
- Proficiency in designing and building widespread distributed networks.
- Experience managing large-scale distributed systems independently of cloud providers.
- Extensive expertise in datacenter operations and GPU hardware.
- Hands-on experience working with RDMA networking.
- Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, SLURM).
135,000 CAD – 185,000 CAD for Level 3; and 170,000 CAD – 220,000 CAD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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