Jobs in Canada

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Added 6 mins ago
Director of Operations - CPA
Impact Recruitment
AB · Edmonton, AB
Full-time
…add a Director of Operations to its team. This role provides senior-level leadership for the firm’s day-to-day business operations, administrative infrastructure, technology environment,…
Added 6 mins ago
Assistant Management Accountant (Capital)
NHS Scotland
Mackenzie, BC
Full-time
…environment, where we actively support our staff’s learning and…
Added 6 mins ago
Senior Analyst
Tata Consultancy Services
Toronto, ON
$100,000 to $130,000 CAD / year
Full-time
…the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming to become the world's largest AI-led technology services company and…
Added 6 mins ago
Data Governance - AI and Data, Consultant
Deloitte
Toronto, ON
Full-time
…as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all…
Added 6 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 6 mins ago
Senior Director - Transaction Services
Baker Tilly Canada
Toronto, ON
Full-time
Our team at Baker Tilly Canada Capital (“BTCC”) is looking for Senior Director to play a key role in our growing national Transaction Services (“TS”) team. As part of this role, the new…
Added 6 mins ago
Senior IT Security Consultant
Government of Manitoba
Winnipeg, MB
Full-time
The Senior IT Security Consultant is responsible for leading the implementation, maintenance, and operation of IT security services, infrastructure, and policies to support both internal…
Added 6 mins ago
Program Advisor (Bilingual and Non-Bilingual)
Government of Manitoba
Winnipeg, MB
Full-time
…and correspondence or briefing materials for the Minister or senior…
Added 6 mins ago
Senior Analyst Business Continuity
Mackenzie Investments
Toronto, ON · Greater Toronto Area, Canada
Full-time
IGM Financial Inc. is seeking a Senior Analyst to support the continued development and execution of its Business Continuity Management (BCM) program. This role will coordinate assigned…
Added 6 mins ago
Registered Care Aide-Victoria with a Car
Comfort Keepers Victoria
Victoria, BC
Full-time
Assisting in the delivery of client care and home support services under the direction of the health care team
Added 6 mins ago
Senior Data Analyst (Auth0)
Okta
Toronto, ON
$99,000 to $136,400 CAD / year
Full-time
…scalable measurement strategies for our data assets, products and…
Added 6 mins ago
Innovation Project Manager
Clover Leaf Seafoods
Toronto, ON · Greater Toronto Area, Canada
Contract
…Collaboratively lead cross-functional teams across Technical Services, Factory Operations, Sales, Finance, Procurement and external…
Added 6 mins ago
Senior Principal, Salesforce Digital – Canada
Slalom
Toronto, ON · Greater Toronto Area, Canada
Full-time
Consulting or professional services experience with demonstrated success in senior client-facing roles.
Added 6 mins ago
Hospitality & Tourism Teacher
Waterloo Catholic District School Board
Kitchener, ON
Internship
Senior teaching qualifications in the subject area (Technological studies- Hospitality Services)
Added 6 mins ago
Registered Care Aide-Victoria for Cluster Shift
Comfort Keepers Victoria
Victoria, BC
Full-time
Assisting in the delivery of client care and home support services under the direction of the health care team
Added 6 mins ago
Registered Care Aide with a Car-Sooke
Comfort Keepers Victoria
Sooke, BC
Full-time
Assisting in the delivery of client care and home support services under the direction of the health care team
Added 6 mins ago
Senior Indirect Tax Analyst
Impact Recruitment
London, ON
Full-time
…well-established organization in London, Ontario, to hire a Senior Indirect Tax Analyst for a permanent…
Added 6 mins ago
Registered Care Aide-James Bay
Comfort Keepers Victoria
Victoria, BC
Full-time
Assisting in the delivery of client care and home support services under the direction of the health care team
Added 6 mins ago
Senior Consultant, IT Audit & Assurance (Vancouver)
Deloitte
Vancouver, BC
Full-time
…as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all…
Added 6 mins ago
Software Developer
Evertz
Burlington, ON
Full-time
Contribute to architecture and technology decisions as part of a collaborative, senior technical team
Added 6 mins ago
Project Engineer - Generation – Stations
Raise
Burnaby, BC
Full-time
Define engineering scope of services, establish design criteria, approve technical documentation, and report on work progress to internal and external stakeholders.
Added 6 mins ago
Registered Care Aide W/Car for Morning and Evening -Vancouver
Comfort Keepers Victoria
Vancouver, BC
Full-time
Assisting in the delivery of client care and home support services under the direction of the health care team
Added 6 mins ago
Registered Care Aide with a Car-Langley for Cluster Shift
Comfort Keepers Victoria
Langley (District), BC · City of Langley, BC
Full-time
Assisting in the delivery of client care and home support services under the direction of the health care team
Added 6 mins ago
Manager of Financial Reporting
Vaco
Vaughan, ON
$120,000 to $130,000 CAD / year
Full-time
Our client is a private equity-backed, high-growth services organization operating across North America. Following a recent carve-out transaction, the company has established its own…
Added 6 mins ago
Health Care Aide Needed- Vancouver
Comfort Keepers Victoria
Vancouver, BC
Full-time
In this position, you will provide non-medical, in-home support and home management services. Join a growing family dedicated to providing companionship, personal care and other health care…

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

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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.

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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

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