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Added 2 months ago
C
Senior Software Engineer, GPU Infrastructure (HPC)
Cohere
Remote, Canada
- Full-time
- Remote
Deep expertise in ML/HPC infrastructure: Experience with GPU/TPU clusters, distributed training frameworks (JAX, PyTorch, TensorFlow), and high-performance computing (HPC) environments.
Added 2 months ago
A
Short Term 2027 Software Engineering Intern/Co-Op
AMD
Markham, ON
- $44,500 to $71,000 USD / year
- Full-time
We will assign you responsibilities in which you will work closely with our software engineers to build and maintain our software applications
Added 2 months ago
Trade Data Scientist
Government of Alberta
Edmonton, AB
Translates business questions into structured analytical frameworks and data-driven solutions that support high-impact decision-making.
Added 2 months ago
AM
Principal Systems Validation Engineer – Data Center GPU System Stress
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
…industry-leading AI, ML, and HPC products. Working closely with architecture, design, product engineering, software, and hardware teams, we develop the validation methodologies, automation…
Added 2 months ago
H(
Lead Agentic AI Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $86,000 to $131,000 CAD / year
- Full-time
Strong engineering expertise, including hands-on experience with Python, C#, JavaScript, TypeScript, or similar languages, and building solutions across cloud platforms such as Azure and…
Added 2 months ago
EB
Senior Manager, Model Development
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Familiarity with Generative AI, AI-assisted analytics, or process automation technologies is strongly preferred.
Added 2 months ago
JG
Automation QE/lead - Playwright
J&M Group
Toronto, ON
- Full-time
Design, develop, and maintain robust test automation frameworks for web, API, and/or mobile applications
Added 2 months ago
C
Applications Support Senior Manager - Global Markets Regulatory Support
Citi
Mississauga, ON
- Full-time
Scripting & Programming: Advanced scripting, automation, and debugging skills (Shell Scripting, Perl, PowerShell, Python). Experience with Java or other programming languages (C, C#, .Net,…
Added 2 months ago
C
SVT/PV Engineer 1 - New Grad
Ciena
Ottawa, ON
- Full-time
Contribute to test automation initiatives using Python-based frameworks, Jupyter notebooks, and other software tools to improve test coverage and execution efficiency.
Added 2 months ago
IT Industrial CrossFunction - Full Stack & AI Integration
Amrize
Mississauga, ON · Laval, QC
Experienced in developer Frameworks (e.g. GitLab)
Added 2 months ago
Consulting Associate/Cybersecurity & Incident Response (Forensic Services practice)
Charles River Associates
Toronto, ON
Providing technical assessment/audit and guidance to clients on the adequacy of cyber security controls in accordance with cybersecurity frameworks that are included in one or more of the…
Added 2 months ago
2
Technical Test Analyst II / I
2K
Vancouver, BC
- $51,400 to $89,860 CAD / year
As an experienced Technical Test Analyst within the Shared Development Services automation team, you will act as a key technical contributor embedded within a game studio based in…
Added 2 months ago
N
Staff Optical Firmware Integration Engineer
Nokia
Ottawa, ON
- Full-time
Proficient in Python programming, knowledge of Python automation and test frameworks
Added 2 months ago
A
Associate Software Engineer (Winter 2027)
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Internship
Familiarity with frontend frameworks (React, Vue) or backend technologies (APIs, databases, microservices, or cloud infrastructure).
Added 2 months ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
SIA is structured like a top-tier professional services firm. We recruit entry-level talent with a single long-term objective: to develop your potential into a working equity partner,…
Added 2 months ago
B
Senior Platform Engineer - Terraform, Azure
BDO
Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
Python, used alongside Terraform for automation and scripting where IaC alone isn't sufficient
Added 2 months ago
Data Architect Fabric Platform Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Strong hands-on experience with Python, Spark/PySpark, REST APIs, and modern data engineering practices.
Added 2 months ago
IO
UDA Business Analyst - Students Seeking Opportunities
Imperial Oil
Calgary, AB
- Full-time
Experience with Python and SQL for data analysis, automation, development, or projects.
Added 2 months ago
Analytics & AI Solutions Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Strong hands-on Python skills for analytics automation, data preparation, advanced analytics, and AI-related solution development.
Added 2 months ago
C
Senior DevOps Engineer (Python & GitHub Platform) - Hybrid
Cognizant
Halifax, NS
- $49,000 to $95,500 CAD / year
- Full-time
Integrate GitHub with external tools and platforms through APIs and automation frameworks
Added 2 months ago
D
AI Research Engineer
Deloitte
Toronto, ON
- Full-time
Strong programming skills in Python and experience with frameworks such as PyTorch, TensorFlow, JAX.
Added 2 months ago
D
Actuarial Manager, Property & Casualty, Actuarial Insurance Solutions
Deloitte
Toronto, ON
- Full-time
Joining Deloitte offers the opportunity to work on industry-defining mandates, collaborate with leading insurers and regulators, and play a meaningful role in shaping the future of…
Added 2 months ago
D
Consultant/Senior Consultant, Cloud Security
Deloitte
Toronto, ON
- Full-time
Git and Scripting Languages (Bash, PowerShell, Python): Strong familiarity with version control using Git and scripting languages to automate security processes and tasks.
Added 2 months ago
D
Ping Identity Platform Sr. Developer, Global Deloitte Technology
Deloitte
Toronto, ON
- Full-time
Experience automating installations and CI/CD pipelines, including end‑to‑end deployment automation using Python and shell scripting.
Added 2 months ago
D
Manager, AML Analytics - Financial Engineering & Modeling
Deloitte
Toronto, ON
- Full-time
Strong programming skills in Python, SQL, SAS, R, or similar technologies, with hands-on experience working with large and complex datasets. Experience with automation and advanced…

Cohere

Senior Software Engineer, GPU Infrastructure (HPC)

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 3, 2026

Original job description

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Why this team?

The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models. By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability. You will be responsible for building and operating superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North.

Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule.

As a Staff Software Engineer, you will:

Build and scale ML-optimized HPC infrastructure: Deploy and manage Kubernetes-based GPU/TPU superclusters across multiple clouds, ensuring high throughput and low-latency performance for AI workloads.
Optimize for AI/ML training: Collaborate with cloud providers to fine-tune infrastructure for cost efficiency, reliability, and performance, leveraging technologies like RDMA, NCCL, and high-speed interconnects.
Troubleshoot and resolve complex issues: Proactively identify and resolve infrastructure bottlenecks, performance degradation, and system failures to ensure minimal disruption to AI/ML workflows.
Enable researchers with self-service tools: Design intuitive interfaces and workflows that allow researchers to monitor, debug, and optimize their training jobs independently.
Drive innovation in ML infrastructure: Work closely with AI researchers to understand emerging needs (e.g., JAX, PyTorch, distributed training) and translate them into robust, scalable infrastructure solutions.
Champion best practices: Advocate for observability, automation, and infrastructure-as-code (IaC) across the organization, ensuring systems are maintainable and resilient.
Mentorship and collaboration: Share expertise through code reviews, documentation, and cross-team collaboration, fostering a culture of knowledge transfer and engineering excellence.

You may be a good fit if you have:

Deep expertise in ML/HPC infrastructure: Experience with GPU/TPU clusters, distributed training frameworks (JAX, PyTorch, TensorFlow), and high-performance computing (HPC) environments.
Kubernetes at scale: Proven ability to deploy, manage, and troubleshoot cloud-native Kubernetes clusters for AI workloads.
Strong programming skills: Proficiency in Python (for ML tooling) and Go (for systems engineering), with a preference for open-source contributions over reinventing solutions.
Low-level systems knowledge: Familiarity with Linux internals, RDMA networking, and performance optimization for ML workloads.
Research collaboration experience: A track record of working closely with AI researchers or ML engineers to solve infrastructure challenges.
Self-directed problem-solving: The ability to identify bottlenecks, propose solutions, and drive impact in a fast-paced environment.

Full-Time Employees at Cohere enjoy these Perks:

A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
Full health and dental benefits, including a separate budget for mental health.
RRSP matching, 401K, Pension Scheme.
100% Parental Leave top-up for up to 6 months, for either parent.
Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.

6 weeks of paid vacation (30 working days!)
Budget for traveling to other offices if you are remote, plus an annual company offsite.

How and Where We Work:

Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
For those not near an office: a co-working benefit so you can work alongside others in your city.
Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

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More about this job

Responsibilities

You will build and scale ML-optimized HPC infrastructure using Kubernetes to support AI model training across multiple clouds. Additionally, you will collaborate with researchers to optimize performance and provide self-service tools for debugging and monitoring training jobs.

Requirements

Candidates must have deep expertise in ML/HPC infrastructure, including experience with GPU/TPU clusters and distributed training frameworks. Proficiency in Python and Go, along with strong knowledge of Linux internals and Kubernetes at scale, is required.

Skills

Kubernetes
GPU infrastructure
HPC
Python
Go
Distributed training
JAX
PyTorch
TensorFlow
RDMA
NCCL
Linux internals
Infrastructure as code
Observability
Cloud computing
System troubleshooting

Benefits

Health insurance
Dental benefits
Mental health budget
RRSP matching
401k
Pension scheme
Parental leave
Arts and culture stipend
Fitness and wellness stipend
Education and learning stipend
Paid vacation
Home office stipend
Lunch stipend

Remote locations

Toronto, Canada
London, United Kingdom
New York City, United States
San Francisco, United States
Montreal, Canada
Paris, France
Berlin, Germany
Seoul, South Korea

Remote locations (standardized)

Berlin, Germany
London, England, United Kingdom
Montreal, Quebec, Canada
New York, New York, United States
Paris, Ile-de-France, France
San Francisco, California, United States
Seoul, South Korea
Toronto, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
GPU Infrastructure
HPC
Kubernetes
Machine Learning
Artificial Intelligence
Python
Go
Distributed Training
JAX
PyTorch
TensorFlow
RDMA
NCCL
Linux
Infrastructure as Code
Observability
Cloud Computing
Superclusters
System Architecture
Performance Optimization
Automation
Enterprise AI
Foundation Models
Scalability
Reliability
Debugging
Networking
Tech Infrastructure
Engineering Excellence

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