Emplois “Cluster” au Canada – Page 47

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• 1 mois

  Senior Runtime Engineer

  Canada

  Temps plein

  

  Cerebras Systems

  3+ ansCandidates need 3+ years building high-performance or distributed systems software, strong C/C++ skills, and experience with multi-threading and memory management. A Bachelor's, Master's, or equivalent experience in Computer Science, Electrical Engineering, or a related field is required.

  C, C++, PyTorch, Python

  1 mois

  Staff Software Engineer, Inference Platform

  Toronto, ON

  Sur placeTemps plein

  

  Cerebras Systems

  8+ ansCandidates need 8+ years of software engineering experience, deep distributed systems and Kubernetes expertise, and strong Go or C++ skills. Experience with TLS/mTLS, high-QPS latency optimization, and observability and SLO-driven operations is also required.

  Kubernetes, Go, C++

  1 mois

  FPGA Engineer

  Toronto, ON

  HybrideTemps plein

  

  Cerebras Systems

  5+ ansCerebras Systems needs candidates with 5+ years of production FPGA experience (or a Master's/PhD plus 3 years), Verilog skill in a Git repository, and strong FPGA place-and-route, timing closure and debug skills. Knowledge of TCP, RoCE and Wireshark, plus network switch familiarity, is also required.

  Verilog, Git, Wireshark, Arista, Juniper

• 1 mois

  Infrastructure Engineer

  Toronto, ON

  Sur placeTemps plein

  

  Shakudo

  8+ ansCandidates need 8+ years in software, data, platform or AI engineering, with 5+ years of Kubernetes, DevOps and bare-metal server operation at scale. Strong security hardening, observability and reliability skills are required; Rust and LLM hosting experience are preferred.

  Kubernetes, DGX, Rust, CI/CD systems

• 1 mois

  Senior Software Engineer, Machine Learning

  Toronto, ON

  TélétravailTemps plein

  H

  hive.co

  8+ ansCandidates need 8+ years of data engineering experience running large-scale distributed data and ML systems in production. Strong ML foundations, Python ML tooling, MLOps practice, and experience applying LLMs or agentic systems are also required.

  Python, Django, ClickHouse, MySQL, MongoDB, ElasticSearch

• 1 mois

  Software Engineer, Security

  Toronto, ON +1

  TélétravailTemps plein

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  5+ ansCandidates need 5+ years building user-facing security features in production, strong production Python, deep knowledge of OIDC/OAuth 2.0 and JWT validation, and hands-on Kubernetes experience. Multi-cloud experience and exposure to AI/ML or LLM systems are also sought.

  Kubernetes, Python, GCP, AWS, Azure

  1 mois

  Member of Technical Staff, Agentic Environments

  Télétravail au Canada

  295k–535k $/anTélétravailTemps plein

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  Candidates need extremely strong software engineering skills, proficiency in Python and ML frameworks like JAX or PyTorch, and experience debugging large-scale distributed training. Experience with Kubernetes, Ray and ML or LLM academic research is also required.

  Python, PyTorch, JAX, Kubernetes, Ray

  1 mois

  Software Engineer, Data Infrastructure

  Toronto, ON +1

  TélétravailTemps plein

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  Candidates need strong storage fundamentals such as replication, consistency and caching, strong coding in Python or Go, and experience running stateful systems on Kubernetes. Hands-on work with cloud object storage like S3 and POSIX filesystems is also required.

  Kubernetes, S3, Weka, VAST, Lustre

  1 mois

  Forward Deployed Engineer, Infrastructure Specialist (Public Sector)

  Ottawa, ON

  215k–385k $/anHybrideTemps plein

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  Candidates need hands-on experience deploying enterprise software in private or hybrid clouds and running production Kubernetes clusters with Helm. Strong cloud, networking and virtualization skills, plus comfort working directly with customers, are expected. Active Top Secret clearance is strongly preferred, and familiarity with Canadian public sector security is an asset.

  Kubernetes, Helm, Git, Azure, AWS, GCP

  1 mois

  Staff Software Engineer, Inference Infrastructure

  Toronto, ON +1

  HybrideTemps plein

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  5+ ansCandidates need 5+ years of engineering experience running large-scale production infrastructure, especially distributed systems on Kubernetes with GPU workloads. Strong Linux, cloud platform, troubleshooting and performance skills are required, and experience in Golang, C++ or a similar high-performance language is a plus.

  Kubernetes, Linux, GPU, GCP, Azure, AWS

  1 mois

  Senior Member of Technical Staff, Synthetic Data

  Toronto, ON +1

  295k–535k $/anTélétravailTemps plein

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  Candidates need strong Python and data pipeline engineering skills, experience with data processing frameworks, and hands-on work with LLMs and large datasets. Familiarity with LLM inference frameworks such as vLLM and TensorRT is also expected.

  Python, Apache Spark, Apache Beam, Pandas, vLLM, TensorRT

  1 mois

  Member of Technical Staff, Integration/RL Team (Research Engineer)

  Toronto, ON +1

  295k–535k $/anTélétravailTemps plein

  

  Cohere: Cohere is the leading security-first enterprise AI company.

  Candidates need very strong software engineering skills, proficiency in Python and ML frameworks such as JAX, PyTorch or XLA/MLIR, and experience debugging large-scale distributed training. Test-driven development and clean code habits are valued. Experience with Kubernetes, Ray, post-training and ML or RL research are bonus qualifications.

  Python, JAX, PyTorch, XLA/MLIR, Kubernetes, Ray

• 1 mois

  Senior Systems Engineer (Kafka)

  Toronto, ON

  HybrideTemps plein

  

  Nubank: The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.

  Candidates need strong software engineering skills and experience with distributed systems in production. They should know Kubernetes, networking and AWS well, and be able to troubleshoot complex production issues. Kafka experience is a plus but not required.

  Kafka, Kubernetes, AWS

• 1 mois

  Staff DevOps Engineer

  Toronto, ON

  TélétravailTemps plein

  

  Nexxa.AI

  6+ ansCandidates need 6+ years in DevOps, SRE or platform engineering, with hands-on production experience in cloud platforms, Kubernetes, infrastructure-as-code and CI/CD. Strong observability, scripting, incident leadership and project-leading skills are also required.

  Kubernetes, Terraform, Pulumi, GitHub Actions, GitLab CI, CircleCI

• 1 mois

  Principal Platform Infrastructure Engineer (Containers)

  Télétravail au Canada

  TélétravailTemps plein

  

  Menlo Security

  Candidates need a bachelor's degree or equivalent practical experience, and proficiency in Python, Bash or Go. They need Kubernetes and Terraform experience, Google Cloud knowledge, networking fundamentals, and GitOps familiarity. Effective use of LLM code assist tools is also required.

  Kubernetes, Google Kubernetes Engine, Terraform, Spacelift, Helm, Grafana

• 1 mois

  Software Architect, SaaS Platform

  Toronto, ON

  Hybride

  

  NetBrain

  8+ ansCandidates need 8 to 12+ years in software or infrastructure engineering, including 4+ years in a SaaS architecture role and deep hands-on AWS experience. They must have a proven record of building multi-tenant SaaS platforms and leading architecture across several teams.

  AWS, Terraform, AWS CloudFormation, Kubernetes, RabbitMQ, Kafka

• 1 mois

  Senior, AI & Data Science

  Montréal, QC +1

  Temps plein

  

  Welcome to the Jungle: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.

  3+ ansArtefact needs 3 to 5 years of data science experience, strong statistics and machine learning skills, and at least one model deployed to production. Candidates should know Python and SQL, have hands-on LLM experience, and be specialized in a major AI platform and a cloud platform.

  Python, SQL, scikit-learn, XGBoost, PyTorch, Vertex AI

9 entreprises