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Added 14 mins ago
Municipal Engineering Project Manager
Dillon Consulting Limited
Winnipeg, MB · Saint John, NB · Fredericton, NB · Halifax, NS
Full-time
Licensed to practice as a professional engineer in your field or eligible to register.
Added 14 mins ago
Manager, Data and Analytics Engineer
Royal Bank of Canada
Toronto, ON
Full-time
As Manager, Data and Analytics Engineer, you are responsible for transforming how data is used to drive business insights, reporting and decision-making.
Added 14 mins ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
Royal Bank of Canada
Toronto, ON
Full-time
…strategic portfolio of AI initiatives across research, engineering, platform, and business teams. You will drive alignment across complex programs, champion modern AI delivery…
Added 27 mins ago
Java Developer (React)
Collabera
Toronto, ON
$90 to $102 CAD / hour
Contract
The Senior Full Stack Engineer will join a Capital Markets engineering team responsible for modernizing and rebuilding a mission-critical platform used across Public Markets. This is…
Added 27 mins ago
Software Developer
Evertz
Burlington, ON
Full-time
We're looking for a self-driven engineer to join a highly technical team building state-of-the-art technology for a fast-moving, evolving product. This role spans dozens of disciplines,…
Added 28 mins ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
…data engineering team. You will define the end-to-end data platform (ingestion, storage, modeling, governance, quality, observability), unify data currently siloed across on-prem…
Added 56 mins ago
Data Engineer (Databricks) - Consultant
Deloitte
Toronto, ON
Full-time
Design comprehensive Lakehouse architectures using Databricks platform capabilities including Delta Lake, MLflow, and Unity Catalog
Added 56 mins ago
Founding Engineer
Superpower
Whitby, ON
Full-time
You'll be the first hired engineer for Superpower, you'll be expected to own the outcomes of your work and you'll have to assess yourself independently at times.
Added 1 hour ago
Quality Engineer (contract)
TLNT Bridge Recruiting
Burnaby, BC
Contract
We're looking for an engineer who treats quality as an engineering discipline, not simply a testing activity.
Added 1 hour ago
Technical Lead
Method Integration Inc.
Remote, Canada
$120,000 to $144,000 CAD / year
Full-time · Remote
…and subscribe to Method. We drive continuous growth for our platform by maximizing conversion through seamless onboarding, trial engagement and learning key workflows. Our approach relies…
Added 1 hour ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds…
Added 1 hour ago
Software Engineering LMTS
Salesforce
Vancouver, BC
Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 1 hour ago
Software Developer
Evertz Microsystems Limited
Burlington, ON
Full-time
We're looking for a self-driven engineer to join a highly technical team building state-of-the-art technology for a fast-moving, evolving product. This role spans dozens of disciplines,…
Added 1 hour ago
Python Fullstack Developer
Genpact
Montreal, QC
$70,000 to $80,000 CAD / year
Full-time
We are seeking a hands-on Full Stack Engineer with strong Python and frontend development experience to build technology platforms and business-facing applications. The individual will work…
Added 1 hour ago
AI Engineer, Winter 2027 (Co-op/Internship) - 8 months
BMO
Toronto, ON · BMOPLACE
Full-time
…Squad student-led activities, BMO Academy corporate learning platform, and access to various Employee Resource Groups to further develop your network within…
Added 1 hour ago
Senior Software Engineer (Java)
Mastercard
Vancouver, BC
Full-time
Senior Software Engineer (Java)Job Description Summary
Added 1 hour ago
Senior Security Operations Engineer (Talent pool building)
League Inc.
Toronto, ON
…by building or buying tools that we can integrate into our platform to ultimately make it easier for our engineers to do the right thing. As a Senior SecOps Engineer you will care deeply…
Added 2 hours ago
Principal Research Scientist
ServiceNow
Montreal, QC
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 2 hours ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Jobright is a rapidly growing AI job search platform in the U.S. that is dedicated to transforming the job search experience. They are seeking an entry-level AI Engineer to build and refine…
Added 2 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 2 hours ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 2 hours ago
Senior DevOps Engineer – HPC / EDA / SLURM- #26-24242
US Tech Solutions
Vancouver, BC
$55 to $60 USD / hour
Contract
Client is seeking a Senior DevOps Engineer supporting our High Performance Computing (HPC) and Electronic Design Automation (EDA) infrastructure team. This role will work directly within…
Added 2 hours ago
Senior / Staff ML Ops Engineer
Waabi
Toronto, ON
$184,000 to $272,000 USD / year
Full-time
Make the platform boringly reliable - fewer failures, faster recovery, and none of the manual steps that quietly cost a team days.
Added 2 hours ago
Software Development Engineer in Test
Magnet Forensics
Canada
Full-time
We are looking for a Software Development Engineer in Test to help build and sustain high-quality software through strong test design, automation, and collaboration with engineering…
Added 2 hours ago
Platform Engineer
SPECTRAFORCE
Toronto, ON
$100 to $110 CAD / hour
Contract
We are seeking an experienced Platform Engineer to support a global transaction banking platform within a large financial services environment. This role will focus on platform engineering,…

Waabi

Senior / Staff ML Ops Engineer

Toronto, ON, Canada

Pay: $184,000 to $272,000 USD / year
Job type: Full-time
Posting language: English
Posted: Sep 23, 2026

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Original job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will..

Build and evolve our training infrastructure on Kubernetes with Infrastructure - GPU scheduling, autoscaling, multi-node distributed jobs, capacity strategy, and the operators and workflow engines that keep long-running training reliable.
Shape the developer-facing surface - CLIs, SDKs, job submission, templates, paved paths - designed with the teams who'll use them. Make the common case one command and keep the uncommon case possible.
Shorten the inner loop. Time to first training run, edit-to-signal latency, local iteration before a job hits the cluster, fast failure over slow mystery. Measure it, publish it, drive it down.
Evangelize best-in-class tooling and frameworks. Track what the ecosystem is shipping, evaluate honestly, and make the case with working prototypes and migration paths - or say plainly when a shiny thing isn't worth the switching cost.
Strengthen the data and artifact layer. Dataset versioning, sharding, and high-throughput loading of large multimodal sensor data, so jobs saturate GPUs instead of waiting on I/O.
Turn one-off Python into durable tooling - tested, documented, observable libraries, CLIs, and services with sane defaults, and deletions where they're overdue.
Make experiments legible, with the teams who live in them: experiment hygiene, dashboards researchers trust, a real model registry, and lineage from dataset to checkpoint to simulation result.
Ship CI/CD for models alongside autonomy and simulation, so a model change is validated the same way a code change is.
Build observability across the ML stack - utilization, throughput, failure modes, queue times, cost per experiment. When a job fails at 3am on node 47, the researcher should find out why without you.
Treat docs, onboarding, and support as product surface - golden-path guides, a new researcher productive on day two, office hours that turn repeat questions into shipped fixes.
Drive adoption, not just availability. Prototype with real users, watch them work, iterate. A tool nobody adopts didn't ship.
Make the platform boringly reliable - fewer failures, faster recovery, and none of the manual steps that quietly cost a team days.
Build guardrails that don't feel like walls, with Security, IT, and Infrastructure: access controls, data handling, and cost governance that hold up in an IP-sensitive environment while staying self-serve.

Qualifications:

5+ years of software or infrastructure engineering, including tools or platforms used by other engineers and operating ML or data-intensive production systems.
Hands-on Kubernetes expertise - GPU scheduling, autoscaling, Helm or equivalent, networking fundamentals, and the ability to debug a cluster under load rather than restart it.
Excellent Python, and a track record of designing APIs and CLIs other people enjoy using.
Practical AWS depth: object storage at scale, IAM, GPU compute, networking, cost management, and infrastructure as code (Terraform, Pulumi, or similar).
Distributed training in PyTorch (DDP, FSDP, or similar), plus experiment tracking and model registry tooling - from the perspective of someone who made them pleasant for others to use.
Fluency with containers, CI/CD, and modern build systems, including large monorepos.
The ability to influence without authority: evaluate a framework on its merits, pilot it credibly, and persuade skeptical senior engineers to change how they work.
A collaborative default - you'd rather co-own a system than draw a boundary around your part of it.
User empathy: you'd rather fix the third-most-interesting problem blocking ten people than the most interesting one blocking nobody.
Strong product instincts, strong writing, and comfort operating autonomously in ambiguous territory.
Passionate about self-driving technologies and frontier AI, and about what a small, world-class team can do with the right infrastructure.

Bonus/nice to have:

Internal developer platform, research platform, or DevEx work - with a story about a tool whose adoption you grew from zero.
Large-scale distributed GPU training: hundreds to thousands of accelerators, NCCL, high-performance cluster networking, collective communication tuning.
High-throughput loading of LiDAR or camera data, and formats such as Parquet or WebDataset.
Workflow and scheduling systems - Argo Workflows, Ray, Flyte, Kubeflow, or Slurm.
Build-system depth (Bazel or similar), including remote caching in a monorepo.
Simulation infrastructure or large-scale batch evaluation pipelines.
Background in ML, robotics, or autonomous systems infrastructure.
Security- and IP-sensitive production environments.
Open-source contributions to ML infrastructure or developer tools.

\n\n

The US yearly salary range for this role is: $184,000 - $272,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:

Competitive compensation and equity awards.
Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events both on-site, off-site & virtually.
As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

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More about this job

Responsibilities

Build and operate reliable Kubernetes-based ML training infrastructure, including GPU scheduling, distributed jobs, data and artifact systems, CI/CD, and observability. Develop and improve researcher-facing tools and workflows, drive adoption through user collaboration, and ensure the platform is secure, cost-effective, and easy to use.

Requirements

Requires 5+ years of software or infrastructure engineering experience, hands-on Kubernetes expertise, strong Python skills, and practical AWS experience. Candidates should have experience with distributed PyTorch training, developer-facing APIs and tools, containers, CI/CD, and the ability to influence teams and work collaboratively in ambiguous environments.

Skills

Kubernetes
GPU Scheduling
Python
AWS
Distributed Training
PyTorch
Terraform
Infrastructure as Code
CI/CD
Helm
Experiment Tracking
Model Registry
Developer Platforms
Distributed Systems
Data Engineering
Observability

Benefits

Competitive Compensation
Equity Awards
Medical Insurance
Dental Insurance
Vision Insurance
Unlimited Vacation
Flexible Hours
Work From Home Support
Drinks, Snacks, and Catered Meals
Team-Building Activities and Social Events

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
GPU Scheduling
Autoscaling
Distributed Training
PyTorch
DDP
FSDP
AWS
Object Storage
IAM
Terraform
Pulumi
Python
Helm
CI/CD
Containers
Experiment Tracking
Model Registry
Dataset Versioning
Multimodal Sensor Data
Argo Workflows
Ray
Flyte
Kubeflow
Slurm
Bazel
NCCL
LiDAR
Parquet
WebDataset

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