Find work in Canada.

334,902 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 13 mins ago
Alumni Engagement Officer
SAIT
Calgary, AB
Strong relationship-building skills with senior leaders, volunteers, alumni, donors, and community partners
Added 13 mins ago
Performance & Restructuring Manager
PwC
Toronto, ON
Full-time
Reviewing and coaching associates and senior associates.
Added 13 mins ago
Performance & Restructuring, Senior Associate
PwC
Toronto, ON
Full-time
As a Performance & Restructuring Senior Associate unlocks your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t…
Added 13 mins ago
People in Deals (M&A HR) Senior Manager
PwC
Toronto, ON · Calgary, AB
Full-time
As a DDV Senior Manager, you will join a dynamic team of problem solvers dedicated to helping clients navigate complex business challenges - from strategy through execution. You will play a…
Added 13 mins ago
Application Engineer - III
Vanguard
Toronto, ON
Full-time
Provides senior level system analysis, design, development, and implementation of applications and databases. Integrates third party products.
Added 13 mins ago
Resident & Family Experience Coordinator (Social Worker) Temporary, Part-Time/ 7.5 hours weekly
Sienna Senior Living
Lake Country, BC
Part-time
We are Sienna Senior Living, a publicly traded company (TSX:SIA) and one of Canada’s leading owners and operators of seniors’ residences. We offer care, support, services, and housing in…
Added 13 mins ago
Consultant, AI Adoption & Enablement
MNP
Montreal, QC · Toronto, ON
Full-time
…the agents our technical team builds. You do not need to be a developer, but you do need to be genuinely curious about the technology and confident in front of a room. You will work under…
Added 13 mins ago
Senior/Staff Software Engineer
Toast
Canada
Added 13 mins ago
Global Mobility Partner
TMX Group
Toronto, ON
Full-time
Reports to: Senior Manager, Global Benefits, Pension & Mobility
Added 13 mins ago
Senior Legal Counsel (Money Movement, Everyday Savings & Investing)
TD
Toronto, ON
Full-time
As Senior Legal Counsel, you will have a challenging and diverse practice that will allow you to refine your legal skills every day. You will work as part of a team to provide ongoing…
Added 13 mins ago
Data Engineer II - CPB Data Curation
TD
Toronto, ON
Full-time
Analyze and understand business and data requirements to develop complete ETL solutions under the guidance of senior peers and tech leads.
Added 13 mins ago
Senior Backend Engineer
Woodbine Entertainment
Toronto, ON · Woodbine HQ
Full-time
…and people leadership for a team of Junior, Intermediate, and Senior Platform Engineers, ensuring consistent delivery of platform services aligned with business…
Added 27 mins ago
Senior Vendor Analyst
Altis
Mississauga, ON
$50 to $60 CAD / hour
Contract
We’re looking for a Senior Analyst, IT Vendor Management to join the Vendor Management Office of a large enterprise technology environment. This is a senior individual contributor role…
Added 27 mins ago
Procurement Co-op
Veolia | North America
Oakville, ON
Internship
…ownership (TCO) analyses and cost reduction initiatives led by senior team…
Added 27 mins ago
Head Librarian – Parental Leave Coverage
Jewish Federation of British Columbia (JFBC)
BC · West Vancouver, BC
Temporary
Manage the Library’s budget and annual work plan in collaboration with the Senior Director of Programs.
Added 27 mins ago
Senior Industrial Water/Wastewater Process Engineer
HDR
Calgary, AB
Full-time
Candidates for the Senior Industrial Warter/Wastewater Process Engineer/ Subject Matter Expert role should have significant experience with industrial water/wastewater (W/WW) treatment…
Added 27 mins ago
GUEST EXPERIENCE HOST
Woolley Grange
Front of Yonge, ON
Full-time
Senior departmental leadership experience, or an Assistant Head ready to step up
Added 28 mins ago
Développeur(se) Backend Sénior | Senior Backend Developer, Ads Privacy
Unity
Montreal, QC
Full-time
Added 28 mins ago
Senior Professional, Process Engineering
WSP in Canada
Saskatoon, SK
Full-time
Added 28 mins ago
Conseiller(ère) principal(e), Contrôle financier commercial /Senior Advisor, Commercial Controllership
Rio Tinto
Montreal, QC
Full-time
Added 28 mins ago
Pega Lead Business Architect (LBA)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Mississauga, ON
Full-time
Analytical and solution-oriented mindset with the ability to influence senior stakeholders and drive decisions.
Added 28 mins ago
Engineering Graduate - Air and Noise
GHD Group Pty Ltd
Waterloo, ON
Assisting senior staff with technical research, data review, quality checks and project coordination.
Added 28 mins ago
Operator - II
B2GOLD
NU
B2Gold is a responsible international senior gold producer headquartered in Vancouver, Canada. Founded in 2007, today, B2Gold has operating gold mines in Mali, Namibia and the Philippines,…
Added 28 mins ago
Sr. Team Leader, Wealth Client Services
CIBC
Toronto, ON
Full-time
Working in close partnership with the Manager of Private Banking Operations, the Senior Leader, Wealth Client Services ensures that the ongoing operation of the Private Wealth Management…
Added 28 mins ago
Senior Consultant, Fusion Services (12- month contract)
CIBC
Toronto, ON
Full-time
As part of the Fusion Services team, the Senior Consultant, Fusion Services will assist in developing the processes, tools, technologies, and capabilities that enable and support the…

Cerebras

Sr. Staff Software Engineer, Inference Platform

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 1, 2026
Experience: 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About The Role

We're hiring a Staff Engineer to help lead, drive, and contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with machine learning services. We are often the first team to face problems that haven't been solved yet, leading solutions across Kubernetes operators, service security policies, and CI/CD.

If you're interested in building the next-generation architecture of a globally distributed inference platform, we'd like to talk.

Responsibilities

Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization.
Raise the effectiveness of senior engineers through design feedback, pairing, and clear technical standards.
Platform Direction. Help shape the technical direction for the Inference Platform, Kubernetes custom resource definitions, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas.
Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand.
Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment.
Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor.
Technical Influence. Partner with ML, Product, Infrastructure, and Cloud teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces.

Skills & Qualifications

8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
Deep expertise in distributed systems architecture, ideally with Kubernetes.
Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale.
Experience with security (certificates, TLS, mTLS).
Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus.
Strong proficiency in backend or systems languages such as Go or C++, with the expectation that you can contribute production code directly.
Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations.
Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment, especially within your domain and adjacent systems.
Preferred Skills & Qualifications
Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.

Location: Sunnyvale or Toronto preferred

Why Join Cerebras

About

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Apply About employer

More about this job

Responsibilities

Design, build, and operate the inference platform, including its Kubernetes orchestration layer, while shaping architecture, technical roadmaps, reliability, performance, and security. Lead critical production work and incidents, set engineering standards, and align with ML, Product, Infrastructure, and Cloud teams on scalable system designs.

Requirements

Requires 8+ years of software engineering experience, substantial hands-on work with large-scale distributed systems or cloud infrastructure, and deep expertise in distributed architecture, ideally with Kubernetes. Candidates should be proficient in Go or C++, experienced with highly available and latency-sensitive systems, security, observability, and SLO-driven operations; ML inference or GPU workload experience is preferred.

Skills

Distributed Systems
Kubernetes
Cloud Infrastructure
Go
C++
High Availability
Latency Optimization
Throughput Optimization
TLS
Mutual TLS
Observability
Reliability Engineering
Incident Response
Service Security
Machine Learning Inference
Model Serving

Visa sponsorship

Not detected in the job text

Keywords

Inference Platform
Distributed Systems
Kubernetes
Kubernetes Operators
Custom Resource Definitions
Cloud Infrastructure
Go
C++
Active-Active Systems
Failover
Graceful Degradation
Service Security Policies
Certificates
TLS
Mutual TLS
High-QPS Systems
Time To First Token
Tail Latency
Observability
Metrics
Logging
Tracing
Alerting
SLOs
Incident Response
Capacity Planning
CI/CD
Machine Learning Inference
Model Serving
GPU-Accelerated Workloads

Report this job