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Jobs in Canada

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Added 4 months ago
E
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia
Montreal, Quebec · Canada - Quebec - Montreal
- Full-time
Added 4 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
5+ years of relevant industry experience in software integration, development, or quality engineering.
Added 2 months ago
GD
Cybersecurity Systems Engineering, Intermediate
General Dynamics Missions System International
Calgary, AB
- Full-time
Good understanding of software (SW) and firmware (FW) development, including applications, operating systems, computer networking, and cybersecurity.
Added 4 months ago
Senior Security Engineer, AI Security
Amazon
Vancouver, British Columbia
…deliver multiple complex objectives which may include project and software development…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Vancouver, British Columbia
- Full-time
…overseeing the full application lifecycle from planning and development through deployment, support, and continuous improvement, while identifying opportunities to leverage automation and…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Toronto, Ontario
- Full-time
…overseeing the full application lifecycle from planning and development through deployment, support, and continuous improvement, while identifying opportunities to leverage automation and…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Montreal, Quebec
- Full-time
…overseeing the full application lifecycle from planning and development through deployment, support, and continuous improvement, while identifying opportunities to leverage automation and…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Calgary, Alberta
- Full-time
…overseeing the full application lifecycle from planning and development through deployment, support, and continuous improvement, while identifying opportunities to leverage automation and…
Added 3 months ago
Senior Applied AI/ML Scientist - Compass
Faire
Kitchener, Ontario · Toronto, Ontario
You will work at the frontier of agentic AI, blending applied science rigor (eval-driven development, experimentation, data strategy) with cross-stack engineering range to build the…
Added 4 months ago
TG
AI & ML Intern - Electrical Engineer
Trench Group GmbH
Toronto, Ontario
- $22 to $26 CAD / hour
…on-site R&D team. In this role, you will contribute to the development of intelligent design tools and automated documentation solutions that modernize and streamline how we engineer and…
Added 4 months ago
W
Staff Software Development Engineer
Wagepoint
Remote, Canada
- $140,000 to $170,000 CAD / year
- Full-time
- Remote
We're looking for a talented Staff Software Development Engineer who enjoys tackling hard problems and wants to create meaningful impact for small businesses across Canada. You will be a…
Added 4 months ago
MF
Product Management Lead, AI
Magnet Forensics
Vancouver, BC
- Full-time
Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related…
Added 4 months ago
I
Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
…critical information. You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning,…
Added 4 months ago
FB
Senior AI Software Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
We are seeking a Senior AI software Engineer to serve as a key technical driver within our data science team. In this role, you will be the bridge between conceptual AI research and robust,…
Added 3 months ago
A
Forward Deployed Technical Consultant -Databricks
Accenture
Remote, Canada
- Full-time
- Remote
Added 2 months ago
GD
Mechanical Engineering Developer
General Dynamics Missions System International
Ottawa, ON
- Full-time
We're looking for a Mechanical Engineer to support the development of mechanical designs and engineering systems across various products and programs within the organization.
Added 4 months ago
CS
Principal AI Security Engineer
Cerebras Systems
Canada
- Full-time
…serving, customer workloads, internal automation, and AI-assisted development. You will work across product, cloud, infrastructure, identity, runtime, data, and developer platforms to…
Added 4 months ago
Software Development Engineer, Amazon Connect Contact Lens
Amazon
Vancouver, British Columbia
…algorithmic problems. We are looking for passionate and talented Software Development Engineers to join us to innovate on this new service that addresses customer needs to build modern…
Added 1 month ago
GS
SBT Content Software Engineer II
Guidewire Software
Remote, Canada
- Full-time
- Remote
Guidewire’s development team is looking for a smart, proactive, and results-oriented Software Engineer II to build elegant solutions for the property & casualty insurance industry’s…
Added 4 months ago
P
Senior Site Reliability Engineer, AI Infrastructure
PointClickCare
Mississauga, Ontario
- Full-time
…significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top…
Added 4 months ago
NH
Computer Vision/ML Engineer
Norbert Health
Montreal, Quebec
- Full-time
We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.
Added 4 months ago
TC
Oracle Application SaaS & PaaS Architect
The Citco Group Limited
Toronto, ON
- Full-time
A career at Citco isn’t just a job – it’s an opportunity to excel in an environment that genuinely supports your personal and professional development.
Added 4 months ago
HT
Research Engineer – Multimodal AI & Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
Identify high-impact research problems and own projects from early exploration through model development, evaluation, and product-oriented validation
Added 1 month ago
BC
BCG Platinion | Senior AI Tech Architect - AI Platforms
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
Hands-on Technologists. They apply solid AI and software engineering skills to build, test, and improve AI platform capabilities.
Added 4 months ago
L
Senior Director, Product Management – Lito Platform
Litera
Toronto, Ontario · Canada-Toronto, ON-Office
- Full-time
At Litera, we don’t just build software, we transform how the world’s top law firms operate. Every day, we Raise The Bar™️ for what’s possible through AI, innovation, and solutions that…

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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