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Added 1 month ago
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Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
Drive the design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers.
Added 1 month ago
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Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
Engineer chaos engineering and fault-injection suites to simulate node failures, inter-node network degradation, GPU memory leaks, driver/firmware mismatches, and automated recovery paths…
Added 1 month ago
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Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
We're hiring a Software Engineer to help contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter…
Added 1 month ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
We are looking for a Data Engineer that combines Data Engineering, platform architecture and management expertise. The Data Engineer will:
Added 1 month ago
KM
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Azure certification (e.g., Azure AI Engineer Associate or Azure Data Scientist)
Added 1 month ago
C
Quality Assurance Automation Engineer
Capgemini
Mississauga, ON
- Full-time
We are seeking a highly skilled Software Development Engineer in Test (SDET) to join our Quality Engineering team. The ideal candidate will be responsible for designing, developing, and…
Added 1 month ago
TC
Big Data Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Design and develop Big Data pipelines using Spark and Scala to process large volumes of raw data stored in Hive/Hadoop.
Added 1 month ago
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Senior Manager, Data Strategy & Data Products
Pelmorex
Oakville, ON
- Full-time
…generate and manage an unusually broad and valuable set of data: large-scale weather forecasts and observations, historical weather archives, consumer behavioural and location signals,…
Added 1 month ago
Manager of Data Engineering
Robinhood
Toronto, ON
3+ years of experience as an engineering manager, with 5+ years of prior experience as a software engineer or data engineer.
Added 1 month ago
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Senior Software Engineer I
Braze
Toronto, ON
- Full-time
We're looking for a Senior Software Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a…
Added 1 month ago
Mechanical Engineer
IREN
Vancouver, BC
Reporting to the VP, Engineering, the Mechanical Engineer will support mechanical engineering efforts for current and future site development, including the design, construction,…
Added 1 month ago
Senior Software Engineer I
Braze
Toronto, ON
We're looking for a Senior Software Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a…
Added 1 month ago
CS
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference…
Added 1 month ago
Software Dev Engineer II, Vendor Funding
Amazon
Vancouver, BC
…infrastructure to build autonomous systems that process real financial data in…
Added 1 month ago
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Senior Cloud Security Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
…future for the healthcare community. As a Senior Cloud Security Engineer, you will have the opportunity to influence technical decisions, challenge existing approaches, and help shape the…
Added 1 month ago
CC
Engineer in Training (EIT) - Paris, ON
CRH Canada
Paris, ON
- Full-time
Position Title: Engineer in Training (EIT) - Paris, ON
Added 1 month ago
C
Ingénieur(e) senior avant-vente
ChapsVision
Montreal, QC
- Full-time
Nous recherchons un(e) Ingénieur(e) avant-vente (PreSales Engineer) afin de soutenir la croissance d’ArgonOS en Amérique du Nord.
Added 1 month ago
Senior Mechanical Design Engineer
Engineered Arts
Montreal, QC
We’re looking for a multi-talented Senior Mechanical Design Engineer to join our small, highly skilled team in building the future of human-robot interaction.
Added 1 month ago
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Electrical Engineer
Worley
Calgary, AB
- Full-time
assist with the preparation of detailed designs and drawings, specifications, data, calculations and reports
Added 1 month ago
W
Electrical Engineer
Worley
AB · Edmonton, AB
- Full-time
assist with the preparation of detailed designs and drawings, specifications, data, calculations and reports
Added 1 month ago
W
Electrical Engineer
Worley
Vancouver, BC
- Full-time
assist with the preparation of detailed designs and drawings, specifications, data, calculations and reports
Added 1 month ago
AM
AI Platform Engineering Lead
AGF Management
Toronto, ON
- Full-time
…technical teams to connect AI workloads to governed enterprise data, ensuring every deployed agent and model is identified, permissioned, monitored, and auditable. Platform scope include…
Added 1 month ago
AM
Forward Deployed AI Engineer
AGF Management
Toronto, ON
- Full-time
The Forward Deployed AI Engineer is a hands-on technical expert responsible for partnering directly with business stakeholders to identify opportunities, design solutions, and build…
Added 1 month ago
Senior Software Engineer I, Email
Braze
Toronto, ON
We’re looking for a Senior Software Engineer to join our Email team, which is responsible for building and maintaining the core infrastructure that delivers billions of personalized emails…
Added 1 month ago
Quality Engineer - Corrective Action Requests / Demandes d'actions correctives
Capgemini
Montreal, QC

Cerebras

Software Engineer, Inference Platform

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: 3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure.
Posting language: English
Posted: Sep 23, 2026

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 Software Engineer to help 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.
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

3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure.
Experience in distributed systems, ideally with Kubernetes.
Experience building 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++.

Preferred Skills & Qualifications

Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.

Location: Open to Sunnyvale or Toronto.

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 orchestration layer, including Kubernetes-based infrastructure, production software, and systems for reliability, performance, security, and observability. Lead technical direction and critical production work, make architectural decisions, and collaborate across ML, Product, Infrastructure, and Cloud teams.

Requirements

Requires at least 3 years of software engineering experience building or operating large-scale distributed systems or cloud infrastructure, ideally with Kubernetes. Candidates should have experience with highly available, latency-sensitive systems, security using certificates and TLS/mTLS, high-QPS performance optimization, and proficiency in Go or C++; ML inference or model-serving experience is preferred.

Skills

Distributed Systems
Kubernetes
Cloud Infrastructure
Highly Available Systems
Latency-Sensitive Systems
Security
TLS
mTLS
Latency Optimization
Throughput Optimization
Go
C++
ML Inference Infrastructure
Model Serving
Observability
Incident Response

Visa sponsorship

Not detected in the job text

Keywords

Inference Platform
Distributed Systems
Kubernetes
Kubernetes Operators
Cloud Infrastructure
Datacenter Clusters
Orchestration
Go
C++
TLS
mTLS
Certificates
Service Security Policies
CI/CD
Active-Active Systems
Failover
Graceful Degradation
Service-Level Objectives
Observability
Incident Response
Capacity Planning
Latency Optimization
Tail Latency
Time to First Token
Throughput
High-QPS Systems
ML Inference Infrastructure
Model Serving
GPU-Accelerated Workloads

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