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Added 29 days ago
C
Software Engineer (Full Stack) - 6 Month Contract
Citylitics
Remote, Canada
- Contract
- Remote
A full stack developer to modernize an established Django + React web application paying down tech debt on a live, actively-shipping codebase. Alongside that, you'll ship smaller,…
Added 1 month ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
Total Experience 5+ years’ , with atleast 2-3 years experience with Spark (Scala/Python) , Big Data ,Databricks, Airflow ,DBT
Added 29 days ago
TA
Manager/ Sr. Manager - Analytics Consulting (Canada)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
Added 28 days ago
Senior Data Software Engineer
Scotiabank
Toronto, ON
Strong programming skills (Python and/or Java)
Added 29 days ago
N
Optical Firmware System Integration Engineer2
Nokia
Ottawa, ON
- Full-time
…tasks will include both manual testing and automation using Python, allowing you to enhance your coding skills while applying your analytical abilities. Surely covers setup and maintenance…
Added 1 month ago
P
Senior Full Stack Engineer
Procurify
Remote, Canada
- Full-time
- Remote
…services to responsive, user-friendly frontend components - using Python/Django and…
Added 1 month ago
Co-op Student - IT Investment Technology
Equitable
Waterloo, ON
We're looking for a Developer to join our team at Equitable! If you've got a knack for process improvement and a desire to work with application development and automation, then this is an…
Added 1 month ago
RF
Senior Lookdev Artist - Multiple Positions
Rodeo FX
Montreal, QC
- Full-time
Experience in tool development or scripting (Python).
Added 1 month ago
Q
Firmware Engineer – SerDes PHY (all levels)
Qualcomm
Toronto, ON
- Full-time
3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Added 1 month ago
Q
Digital Design Verification Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
Tools/languages: Verilog/System Verilog, Python, Perl, C/C++, GNU Make, EDA tools
Added 25 days ago
CO
Manager, Strategy Analyst
Capital One
Toronto, ON
- Full-time
Strong analytical skills, with experience using coding and data visualization tools (SQL, Python, Tableau and QuickSight).
Added 1 month ago
SE
Project Engineer - Automation
Schweitzer Engineering Laboratories (SEL)
Markham, ON · Brossard, QC · Burnaby, BC · Calgary, AB · Canada - Burnaby
- Full-time
Added 1 month ago
T
Platform & SRE Engineer
TechDoQuest
Montreal, QC
- Full-time
Standardize and automate routine tasks using Python scripting or Ansible.
Added 1 month ago
JG
ARE Automation
J&M Group
Toronto, ON
- Full-time
Scripting skills in Bash, Python, PowerShell, YAML, AWS and Azure Skills
Added 1 month ago
B
Professional, Engineering - Aerospace CFD Software Developer - Advanced Aerodynamics & HPC
Bombardier
Dorval, QC
- Full-time
You have experience developing scientific software in C++ and Python.
Added 1 month ago
JG
Senior Java Developer
J&M Group
Toronto, ON
- Full-time
Strong expertise in Java and Python for back-end development.
Added 1 month ago
A
Staff / Principal Software Engineer | Java + AI
Apexon
Toronto, ON
- Contract
Added 1 month ago
Q
Software Engineer, Senior
Qualcomm
Toronto, ON
- Full-time
2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Added 1 month ago
Q
Silicon Validation Engineer, Electrical and Optical Systems - (all levels)
Qualcomm
Ottawa, ON
- Full-time
Experience with Python and GIT for the purpose of IC testing, automation, and software version control
Added 1 month ago
AM
IP Post-Silicon Validation Lead
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
Added 1 month ago
Architecte de solutions sénior | Sr. Solution Architect, Enterprise Industries
Amazon
Montreal, QC
Added 1 month ago
Solution Architect, Enterprise Industries
Amazon
Vancouver, BC
- Experience with scripting, automation, or software development in languages such as Python, JavaScript, or similar
Added 1 month ago
Applied Machine Learning Scientist II
OpenTable
Toronto, ON
Proficiency in Python and foundational machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn, XGBoost).
Added 1 month ago
C
Senior Software Engineer, GPU Infrastructure (HPC)
Cohere
Remote, Canada
- Full-time
- Remote
Strong programming skills: Proficiency in Python (for ML tooling) and Go (for systems engineering), with a preference for open-source contributions over reinventing solutions.
Added 1 month ago
Technical Support Specialist - Bilingual Spanish
Geotab
Oakville, ON · Waterloo, ON
Working knowledge of programming languages such as SQL, Python, C#, or JavaScript highly valued

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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