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Added 8 mins ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't
Added 8 mins ago
Senior Data Engineer – Ingénieur des données
KPI Digital Solutions
Montreal, QC
Other
We are looking for a Data Engineer that combines Data Engineering, platform architecture and management expertise. The Data Engineer will:
Added 8 mins ago
Member of Technical Staff 3- DataHub
Nutanix Indonesia
Vancouver, BC
$132,000 to $198,000 CAD / year
Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…
Added 8 mins ago
Software Chief Engineer
Kepler Communications Inc.
Canada
Full-time
As the Software Leader/Chief Engineer, you are the senior technical authority for software across Kepler’s programs and the point of technical accountability for the integrity and coherence…
Added 8 mins ago
AI Engineer- EN
RBC
Montreal, QC
Full-time
The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to…
Added 8 mins ago
Software Engineer III
trane technologies
Montreal, QC
Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…
Added 1 hour ago
Staff Marketing Technology Engineer
Absorb
Remote, Canada
Full-time · Remote
“As our Marketing Technology Engineer, you’ll do more than keep our data platform humming - you’ll build the AI applications and agents that put that data to work, automating how our…
Added 1 hour ago
Associate or Vice President Full Stack Engineer
BMO Capital Markets
Toronto, ON
Part-time
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 2 hours ago
Civil Designer / EIT – Technology & Innovation Lead
Torus Talent
Vancouver, BC · Greater Vancouver, BC
$80,000 to $120,000 CAD / year
Full-time
…is seeking an intermediate civil designer, technologist, or Engineer-in-Training who enjoys construction planning and finding practical ways to use technology. This role combines civil…
Added 3 hours ago
AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to…
Added 3 hours ago
Software Engineer III
LodgeLink
Calgary, AB
Full-time
This role is ideal for a highly skilled engineer who has demonstrated success delivering complex software solutions and is ready to take greater ownership of technical design,…
Added 3 hours ago
Linux Desktop Engineer
Celestica International LP
Toronto, ON
$89,355 to $124,779 CAD / year
The Linux Desktop Engineer will own the design, deployment, configuration, and structural maintenance of Celestica's high-performance Linux computing platform. This role directly supports…
Added 4 hours ago
Senior Full Stack Engineer (Azure Cloud Platform)
HCLTech
ON · Ontario, Canada
$60 to $75 CAD / hour
Contract
We are looking for a hands-on Senior Cloud-Native Full Stack Engineer to design, build, and support secure, scalable applications on Microsoft Azure. This role combines modern full-stack…
Added 4 hours ago
Data Engineer
Flexkube Lab Inc.
Toronto, ON · Greater Toronto Area, Canada
Contract
Collaborate with architects, tax subject matter experts, developers, and platform teams.
Added 4 hours ago
Platform Engineer
Flexkube Lab Inc.
Toronto, ON · Greater Toronto Area, Canada
Contract
We are seeking a Platform Engineer to automate software delivery and production operations across data pipelines, servers, and application services. The role spans infrastructure…
Added 4 hours ago
Senior Design Electrical Engineer
Fluor
Vancouver, BC
Full-time
…Applicant Notice when creating a profile on our recruiting…
Added 5 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 5 hours ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Jobright is your personal AI job search agent that transforms the way you do job search. They are seeking a Cloud Engineer to provision and manage cloud infrastructure, build CI/CD…
Added 5 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 5 hours ago
Software Developer
Cisco
Montreal, QC
Full-time
At Cisco Meraki, our intuitive platform enables organizations of all sizes to deliver customer and employee experiences at scale. To provide best-in-class technologies to our customers,…
Added 6 hours ago
Senior or Staff Software Engineer, Data Platform (Canada)
TRM Labs
Canada
Full-time
The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's…
Added 6 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 6 hours ago
Remote Backend Java Engineer
IntelliPro Group Inc.
Remote, Canada
Contract · Remote
This role sits within the client's pricing and promotions business, which builds an AI-powered platform used by global consumer brands and retailers to optimize pricing in response to…
Added 6 hours ago
Member of Technical Staff 3- DataHub
Nutanix
Vancouver, BC
$132,000 to $198,000 CAD / year
Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…
Added 6 hours ago
Account Executive - Greenfield
Weights & Biases
Toronto, ON
Full-time
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with…

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.

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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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