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Added 1 month ago
C
Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure.
Added 1 month ago
FH
Equipment Planner
Fraser Health
Surrey, BC
- Full-time
A level of education, training and experience equivalent to a Bachelor’s degree in Biomedical Engineering, clinical engineering, biomedical technology, or health technology, supplemented
Added 1 month ago
FH
Portfolio Manager
Fraser Health
Surrey, BC
- Full-time
A Bachelor’s degree in Information Technology, Engineering, Computer Science, or a related discipline
Added 1 month ago
Graduate Environmental Scientist / Geoscientist (Hiring Day ON)
GHD Group Pty Ltd
Waterloo, ON
…buildings, transportation networks, environmental solutions, water systems, and energy…
Added 1 month ago
Senior Director, IAM Product, Architecture, and Governance
Scotiabank
Toronto, ON
…platforms, partnering with business channels, fraud technology, Engineering, and key stakeholders to align critical capabilities, oversee execution (including vendor selection, MVP…
Added 1 month ago
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Acoustics & Vibration Engineer
Wood
Calgary, AB
- Full-time
…that we do not employ artificial intelligence or automated systems to screen or select candidates. We are committed to ensuring fairness and inclusivity by relying on the expertise from a…
Added 1 month ago
Bioinformatics Support Specialist
National Research Council Canada
Halifax, NS
…world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies…
Added 1 month ago
BC
Student Digital Construction Coordinator
Bird Construction
Mississauga, ON
- Full-time
Maintain and facilitate models including structure, interior and exterior architectural elements, and MEP systems (as applicable/where required).
Added 1 month ago
CS
Student Project Coordinator
Canem Systems Ltd.
Vancouver, BC
- Full-time
Canem Systems is a leading full-service electrical and mechanical contractor, offering comprehensive services across Canada. Our expertise spans design assistance, pre-construction,…
Added 1 month ago
A
Electrical Engineer, Ports & Marine
Arcadis
Longueuil, QC
- Full-time
As an Electrical Engineer in our Ports and Marine team, you will support the design and engineering of electrical systems for a wide range of port, harbour, marine terminal, ferry,…
Added 1 month ago
A
[New to Nuclear] Project Coordinator
Aecon
Kincardine, ON · Pickering, ON · Bowmanville, ON
- $70,000 to $90,000 CAD / year
Coordinating project schedules, milestones, and deliverables across engineering, construction, quality, safety, and procurement
Added 1 month ago
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Responsable principal(e) de l’industrialisation avancée /Advanced Industrialization Lead
RTX
Longueuil, QC
- Full-time
Added 1 month ago
Software Developer, iOS, Glasses System UI
Google
Waterloo, ON
Proficiency with AI-based workflows and an ability to take a systems thinking approach to your development process
Added 1 month ago
TT
Acquisition Software Developer
Teledyne Technologies Incorporated
Ottawa, ON · Richmond, BC · Canada - Ottawa, ON (TDY)
- Full-time
We are seeking an Acquisition Software Developer - GigE Vision with a passion for high-performance networking and machine vision systems to join our Software R&D team. The successful…
Added 1 month ago
GD
Cloud, Infrastructure & Workplace Platforms Manager
General Dynamics Missions System International
Ottawa, ON
- $120,000 to $160,000 CAD / year
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 1 month ago
AC
Helicopter Quality Inspector
AAA Canada
ON · Ontario, Canada
- Temporary
…helicopters, aircraft components, engines, structures, and systems while ensuring compliance with Transport Canada Civil Aviation (TCCA) regulations, approved maintenance programs, and…
Added 1 month ago
AI
Director, Strategic Accounts, Canada / Directeur(ice), Comptes Stratégiques
Applied Industrial Technologies - Canada
Surrey, BC
- Full-time
…transmission products, engineered fluid power components and systems, specialty flow control solutions, and other industrial supplies, serving MRO and OEM customers. With over 50 facilities…
Added 1 month ago
KM
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Strong proficiency in SQL is required, with the ability to write complex queries, optimize database performance, and manage relational data across large-scale systems.
Added 1 month ago
AI
Director, Strategic Accounts, Canada / Directeur(ice), Comptes Stratégiques
Applied Industrial Technologies - Canada
Saskatoon, SK
- Full-time
…transmission products, engineered fluid power components and systems, specialty flow control solutions, and other industrial supplies, serving MRO and OEM customers. With over 50 facilities…
Added 1 month ago
S
SVP, Technology (Product & Engineering)
SWTCH
Toronto, ON
- Full-time
SWTCH is looking for a senior technology leader to lead our Product, Software Engineering and Hardware organizations as we enter our next stage of growth.
Added 1 month ago
AI
Director, Strategic Accounts, Canada / Directeur(ice), Comptes Stratégiques
Applied Industrial Technologies - Canada
Laval, QC
- Full-time
…transmission products, engineered fluid power components and systems, specialty flow control solutions, and other industrial supplies, serving MRO and OEM customers. With over 50 facilities…
Added 1 month ago
H
Manager, Facilities & Capital Assets
Hays
Toronto, ON
- Full-time
A degree in Engineering (Civil, Mechanical, or Electrical), Architecture, or an equivalent combination of education and experience.
Added 1 month ago
AI
Director, Strategic Accounts, Canada / Directeur(ice), Comptes Stratégiques
Applied Industrial Technologies - Canada
Toronto, ON
- Full-time
…transmission products, engineered fluid power components and systems, specialty flow control solutions, and other industrial supplies, serving MRO and OEM customers. With over 50 facilities…
Added 1 month ago
AI
Director, Strategic Accounts, Canada / Directeur(ice), Comptes Stratégiques
Applied Industrial Technologies - Canada
Calgary, AB
- Full-time
…transmission products, engineered fluid power components and systems, specialty flow control solutions, and other industrial supplies, serving MRO and OEM customers. With over 50 facilities…
Added 1 month ago
AI
Director, Strategic Accounts, Canada / Directeur(ice), Comptes Stratégiques
Applied Industrial Technologies - Canada
AB · Edmonton, AB
- Full-time
…transmission products, engineered fluid power components and systems, specialty flow control solutions, and other industrial supplies, serving MRO and OEM customers. With over 50 facilities…

Cerebras

Software Engineer, Inference Platform

Toronto, ON, Canada

Full-time

Apply About employer

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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.

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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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