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Added 2 months ago
Principal Engineer, Engineering Productivity & Tooling
Netskope
Toronto, ON
…quality. We are looking for an experienced Principal Software Engineer to own and drive our CI/CD strategy, with a special focus on creating a fast, safe, and reliable path to production.…
Added 4 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
Deep expertise in automation and programming using one or more languages such as Python, C++, or Go; ability to design and build reusable test frameworks from the ground up.
Added 4 months ago
Traffic Engineer
WSP
Toronto, Ontario
Programming skills (VBA, Python, C#, etc.) are an asset for developing modelling tools and automation
Added 2 months ago
Q
Connectivity Systems Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
As a connectivity systems engineer, you'll define and develop the technologies that underlie the next generation of our products. The ideal candidate will have extensive hands-on experience…
Added 4 months ago
C
Optical Components Test Engineer - Ottawa or Quebec City
Ciena
Ottawa, Ontario
- Full-time
MATLAB experience; C# and/or python experience are an asset
Added 2 months ago
CI
Cloud and Collaboration Specialist, IT Solutions
Celestica International LP
Toronto, ON
- $89,355 to $124,779 CAD / year
As a Collaboration and Cloud Operations Engineer, you will be the backbone of our digital workplace. You will manage, optimize, and secure our hybrid collaboration ecosystems (M365 & Google…
Added 4 months ago
DevOps
OPAL-RT
Montreal, Quebec
Développer et faire évoluer des outils internes en Python, Groovy, Shell ou autres langages pertinents
Added 4 months ago
CC
Senior Hardware Engineer (Systems) - Onsite Position
Curtiss-Wright Corporation
Ottawa, Ontario · Canada-Ottawa
- Full-time
Scripting/automation experience (Python or similar)
Added 4 months ago
TG
AI & ML Intern - Electrical Engineer
Trench Group GmbH
Toronto, Ontario
- $22 to $26 CAD / hour
…documentation solutions that modernize and streamline how we engineer and deliver air core reactors. Working closely with experienced engineers, you will help integrate AI and ML…
Added 4 months ago
I
Software Engineer
Intellistack
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
…believe in the power of pairing the right tools, including AI and automation, with the right mindset. Above all, you’re here to build something that…
Added 4 months ago
IL
Senior Software Quality Engineer
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
The Senior Software Quality Engineer leads the design, execution, and oversight of complex test strategies to ensure the delivery of high quality, reliable software products for Invesco’s…
Added 4 months ago
A
IT Systems Engineer
Aalyria
Canada
- $115,000 to $145,000 CAD / year
We’re looking for a hands-on IT Systems Engineer to join our team and own the day-to-day operation and continuous improvement of our corporate IT stack. This is a generalist IC role…
Added 4 months ago
Développeuse ou développeur en fiabilité de production / Production Reliability Engineer
Unity Technologies
Montreal, Quebec
Added 4 months ago
EG
Water Resources Engineer, Land Development
Egis Group
Edmonton, Alberta
- $85,000 to $115,000 CAD / year
- Full-time
Experience with automation, including but not limited to Dynamo and Python, is considered an asset.
Added 4 months ago
EG
Senior Water Resources Engineer, Land Development
Egis Group
Toronto, Ontario
- $105,000 to $130,000 CAD / year
- Full-time
Experience with automation tools such as Dynamo or Python.
Added 2 months ago
P
Full Stack Engineer II
Procurify
Remote, Canada
- Full-time
- Remote
Procurify is the AI-enhanced procurement and AP automation platform for mid-market organizations. We make it easy for organizations to take control of spend and save money.
Added 4 months ago
S&
Senior Structural Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…setting expectations for using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective…
Added 4 months ago
S&
Structural Engineer 3 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
You are expected to take engineering problems from issue to solution using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective…
Added 4 months ago
S&
Lead Structural Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
This is a Project Lead Structural Engineer position that offers a variety of interesting and challenging opportunities in structural engineering and will provide an excellent opportunity to…
Added 4 months ago
S&
Senior Instrumentation & Controls Engineer 2 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…setting expectations for using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective…
Added 4 months ago
S&
Senior Instrumentation & Controls Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…setting expectations for using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective…
Added 4 months ago
S&
Lead Instrumentation & Controls Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…setting expectations for using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective…
Added 4 months ago
GC
Automation Engineer (RPA)
Greenlight Consulting
Toronto, Ontario
- $110,000 to $140,000 CAD / year
The AI Automation Engineer is the execution layer of the Greenlight delivery pod. You take a signed-off Solution Design Document and build it - cleanly, efficiently, and to a standard that…
Added 4 months ago
CS
Principal AI Security Engineer
Cerebras Systems
Canada
- Full-time
Cerebras is seeking a Principal AI Security Engineer to lead hands-on security engineering for enterprise IT, infrastructure, AI platforms, and agentic systems.
Added 4 months ago
BA
Manager, Data Engineer
Brookfield Asset Management
Toronto, Ontario · Brookfield Place
- Full-time
We are looking for a motivated Manager, Data Engineer, to ensure the delivery of innovative data solutions that align seamlessly with our business objectives. In this pivotal role, you will…

Cerebras Systems

Principal AI Security Engineer

Canada

Full-time

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Job details

Job type: Full-time
Experience: 10+ years of experience in security engineering, platform security, infrastructure security, product security, or related technical security roles.
Posting language: English
Posted: Jun 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

Cerebras is seeking a Principal AI Security Engineer to lead hands-on security engineering for enterprise IT, infrastructure, AI platforms, and agentic systems.

In this role, you will design and build security controls for systems that support training, inference, model serving, customer workloads, internal automation, and AI-assisted development. You will work across product, cloud, infrastructure, identity, runtime, data, and developer platforms to protect sensitive data, enterprise and customer environments, models, tools, agents, and control planes.

This is a principal IC role for someone who can turn ambiguous AI and platform security risks into practical architecture, reusable controls, and production-ready systems that teams can adopt by default.

Responsibilities

Define security architecture and build controls for AI platforms, training and inference workflows, model-serving systems, customer workloads, developer workflows, and agentic
Develop reusable AI and agent security patterns for identity, authorization, delegated authority, scoped tool access, MCPs, connectors, secrets, approvals, isolation, auditability, and
Design runtime controls that constrain execution, access, data exposure, model and tool interaction, and blast radius.
Build security capabilities as code using infrastructure as code, configuration as code, policy as code, GitOps, CI/CD, and automated validation.
Define secure development patterns for AI systems, agents, prompts, tools, models, policies, evaluations, releases, and rollback.
Automate security reviews, policy checks, evidence collection, control validation, and remediation
Instrument AI, agent, and platform activity with telemetry, traceability, policy decisions, audit logs, anomaly signals, and response workflows.
Lead hands-on security reviews and influence product, platform, infrastructure, and security architecture through practical design changes and reusable controls.

Skills and Qualifications

10+ years of experience in security engineering, platform security, infrastructure security, product security, or related technical security roles.
Strong hands-on engineering ability in Python and at least one additional production
Experience designing, building, operating, and improving security controls as
Strong cloud and infrastructure security experience, preferably with AWS, including IAM, networking, secrets management, logging, and cloud-native control planes.
Deep understanding of identity and access systems, including SSO, MFA, OAuth, service accounts, workload identity, authorization, privileged access, and least privilege.
Practical experience securing runtime environments such as containers, Kubernetes, isolated workloads, secure development environments, distributed compute platforms, or production service infrastructure.
Familiarity with AI security, LLM application security, agentic workflows, MCPs, prompt injection, autonomous coding agents, or AI platform security.
Ability to reason about cross-system risk involving identity, data, models, tools, networks, workflows, approvals, and automation.
Strong written communication skills and the ability to influence senior technical stakeholders across Security, Product, IT, Infrastructure, and Engineering.

Relevant Experience

We do not expect every candidate to have worked across all of these areas, but we value depth in several:

AI, ML, training, inference, model-serving, or large-scale compute
Coding agents, agent platforms, MCP servers, internal developer platforms, or AI-assisted development environments.
Workload identity, secrets brokers, token brokers, short-lived credentials, privileged access, or zero-standing-privilege architectures.
Policy-as-code, authorization services, runtime enforcement layers, or security control
Software delivery security, including source control, CI/CD, build systems, artifacts, provenance, signing, and release gates.
Detection, investigation, and response workflows for cloud, infrastructure, identity, AI, or agent

What Success Looks Like

Success in this role means shaping how Cerebras secures the systems behind AI training, inference, model serving, customer workloads, and agentic automation. You will turn emerging AI and agent risks into reusable security architecture, safer identity and authorization models, scoped tool access, runtime containment, secure software delivery paths, automated policy validation, high-signal telemetry, and controls that engineering teams can adopt by default.

Why Join Cerebras

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

Lead the design and implementation of security controls for AI platforms, training and inference workflows, and agentic systems. Develop reusable security patterns and automate policy validation to protect sensitive data and customer environments.

Requirements

Requires over 10 years of experience in security engineering with strong proficiency in Python and cloud infrastructure, specifically AWS. Candidates must have deep knowledge of identity systems, runtime environments, and familiarity with AI/LLM security risks.

Skills

Python
AWS
IAM
Kubernetes
AI Security
LLM Application Security
Infrastructure as Code
OAuth
SSO
CI/CD
GitOps
Network Security
Identity and Access Management
Runtime Security
Security Architecture
Policy as Code

Visa sponsorship

Not detected in the job text

Keywords

AI Security
LLM
Agentic Workflows
MCP
Prompt Injection
AWS
IAM
Kubernetes
Python
Infrastructure as Code
GitOps
CI/CD
OAuth
SSO
Workload Identity
Zero-Standing-Privilege
Policy-as-Code
Model Serving
Inference
Training
Telemetry
Audit Logs
Runtime Enforcement
Distributed Compute
Secrets Management
Cloud-Native
Security Architecture
Developer Platforms
Cerebras
AI Chip

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