Jobs in Canada

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Added 5 mins ago
Forward Deployed AI Engineer
AGF Investments
Toronto, ON
Full-time
AGF is building an enterprise-wide Artificial Intelligence capability to improve client outcomes, investment performance, operational effectiveness, and employee productivity. Through its…
Added 5 mins ago
AI Platform Engineering Lead
AGF Investments
Toronto, ON
Full-time
AGF is building an enterprise-wide Artificial Intelligence capability to improve client outcomes, investment performance, operational effectiveness, and employee productivity. Through its…
Added 5 mins ago
Solutions Engineer (Technical Sales)
Miovision
Kitchener, ON
$86,000 to $107,500 USD / year
Full-time
…problems, analyze operational and system data, develop and test hypotheses, identify meaningful patterns and performance measures, and translate findings into practical…
Added 7 mins ago
R_1508495 Software Engineer III (Salesforce Loyalty Management Technical Lead)
TD
Toronto, ON
Full-time
The Software Engineer III (Salesforce Loyalty Management Technical Lead) leads the creation of comprehensive end-to-end detailed solutions for projects and platforms with overall…
Added 7 mins ago
Software Engineer II (Salesforce Loyalty Management Developer)
TD
Toronto, ON
Full-time
The Software Engineer II (Salesforce Loyalty Management Developer)
Added 7 mins ago
Lead QA Test Engineer
Nasdaq
Toronto, ON
Full-time
As a Lead QA Test Engineer, you'll play a critical role in ensuring the quality, reliability, and performance of Nasdaq's North American equities market systems - some of the most complex…
Added 7 mins ago
Consultant, Application Developer (Data Engineer)
CIBC
Toronto, ON
Full-time
…back-end systems. As the Consultant, Application Developer (Data Engineer), you’ll exercise significant judgement and autonomy, own key technical decisions, lead impact analysis and design…
Added 22 mins ago
Lead Data Engineer - Partnership Intelligence
Two Circles
Vancouver, BC
Full-time
Two Circles is looking for a Data Engineer to join our dynamic KORE Intelligence Platform team. In this role, you'll be a key part of our Partnership Intelligence > Measurement Team that…
Added 23 mins ago
Senior Software Engineering - Data Device Capture SDK
General Motors
Oshawa, ON · Markham, ON
Full-time
…cloud. We're seeking a Senior Device Data Capture SDK Software Engineer to design and integrate embedded data pipelines across diverse in-vehicle platforms, ensuring cohesive interaction…
Added 23 mins ago
Senior Software Engineer - Full Stack - .NET
Bankjoy
Remote, Canada
Full-time · Remote
As a Senior Software Engineer within our Digital Banking platform, you will be instrumental in the development and maintenance of robust, secure, and scalable software solutions to power…
Added 23 mins ago
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 23 mins ago
Copy of Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 37 mins ago
Sr SAP SuccessFactors Engineer
InfiCare Staffing
Toronto, ON
Contract
…uses SuccessFactors Employee Central Onboarding, Time Off, and Performance & Goals Management, with Compensation planned for implementation across…
Added 37 mins ago
Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Ottawa, ON
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 37 mins ago
Supervisor Mechanical Locomotive
CPKC
Montreal, QC
Full-time
Drive accountability for performance metrics, including safety, service, productivity, and financial results
Added 38 mins ago
Maintenance & Asset Manager
West Red Lake Gold Mines
Red Lake, ON
Full-time
…function, ensuring safe, reliable, and cost-effective equipment performance that supports mining and processing objectives. A key aspect of the role is developing maintenance operating and…
Added 53 mins ago
Site Reliability Engineer for Linux administration
Hyve Solutions
ON · Ontario, Canada
Full-time
4. Monitor system health and performance (top, iostat, sar, vmstat, netstat; or via Prometheus/Zabbix).
Added 53 mins ago
Associate Machine Learning Engineer
Medcan
Toronto, ON
$71,465 to $98,264.75 CAD / year
Full-time
Medcan is seeking a motivated and hands-on Associate Machine Learning Engineer to support the development and delivery of innovative machine learning, AI, optimization, and analytics…
Added 1 hour ago
Ingénieur Systèmes de Combustion
Reaction Dynamics
Longueuil, QC
Full-time
Participer et superviser les campagnes de test de systèmes de propulsion.
Added 1 hour ago
Copy of Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Calgary, AB
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 hour ago
Copy of Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Calgary, AB
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 hour ago
Substations Superintendent
Barton Malow Canada
Estevan, SK
Full-time
…family of companies. Our services include General Contracting, Engineer-Procure-Construct (EPC), Design-Build, Integrated Project Delivery, and Specialty Contracting. Our primary markets…
Added 1 hour ago
LEAD SOFTWARE DEVELOPER
The Home Depot Canada
Toronto, ON
Full-time
…total rewards may include: semi-annual bonuses tied to business performance; Deferred Profit-Sharing Program to assist with retirement savings; comprehensive paid benefits; a 15% discount…
Added 1 hour ago
Murex DevOps
Luxoft
Toronto, ON
Full-time
Role Summary: As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform…
Added 1 hour ago
SAP SuccessFactor
InfiCare Staffing
Toronto, ON
Contract
Hi, my name is Soumen, and I'm a Senior IT Recruiter with InfiCareTech. We're hiring for a Senior SAP SuccessFactors Engineer// Toronto, ON & Vancouver, BC, Canada Hybrid// Contract. If…

Cerebras

Staff GPU Inference SDET

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 9, 2026
Experience: 8+ years of software engineering experience as an SDET, Infrastructure Quality Lead, or Systems Test Engineer.
Posting language: English
Posted: Sep 23, 2026

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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

As a Staff GPU Inference SDET, you will be the founding quality, reliability, and validation lead for a new GPU Inference Development team. Working closely with engineering leads and cross-functional systems infrastructure teams, you will design, build, and scale the end-to-end release qualification and automated test ecosystem for our GPU inference stack and rack-scale accelerated compute fleets. In this high-impact role, you will be responsible for building automated test suites to validate multi-node GPU cluster bring-up, verifying prefill worker optimizations, testing open-source and custom serving engines, and ensuring numerical correctness and performance stability under real-world streaming workloads. You will be the primary technical anchor ensuring production-grade reliability, fault isolation, and peak inference performance across accelerated GPU infrastructure.

What You’ll Do

Build GPU Release Qualification Systems:

Design and implement automated test automation frameworks, regression gates, and release qualification pipelines for the complete GPU inference stack - spanning custom API services, model-serving workers, container runtimes, serving engines, driver stacks, and firmware.

Inference Serving & Workload Validation

Benchmark and stress-test distributed LLM serving frameworks, focusing on prefill vs. decode worker performance, continuous batching, prefix caching, KV-cache efficiency, and tensor/expert parallelism.

Performance & Performance Modeling Verification

Build automated workload replay and benchmarking tools to validate GPU performance models. Track critical serving metrics including Time-to-First-Token (TTFT), Inter-Token Latency (ITL), request throughput, tail latency (P99), and capacity efficiency.

Numerical Correctness & Quality Gates

Build validation infrastructure to ensure model accuracy, precision stability (FP16/FP8/quantization), determinism, and output correctness across software updates, kernel fusions, and hardware revisions.

Fault Injection & Fleet Resilience

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 for multi-node GPU clusters.

Observability & CI/CD Integration

Integrate automated test pipelines with telemetry tools (e.g., Prometheus, Grafana) to turn one-off investigations into repeatable engineering gates and continuous performance monitoring.

Requirements

8+ years of software engineering experience as an SDET, Infrastructure Quality Lead, or Systems Test Engineer.

GPU & Cluster Infrastructure Expertise

Hands-on experience bringing up, provisioning, and validating multi-node GPU clusters (NVIDIA or AMD ecosystem) across public cloud infrastructure or enterprise data center environments.

Inference Stack Knowledge

Deep understanding of LLM serving engines and distributed runtimes, including prefill vs. decode disaggregation, KV-cache management, and dynamic batching.

Automation & Scripting

Expert-level Python programming skills with extensive experience designing custom test automation frameworks, diagnostic tooling, and CI/CD integration.

Orchestration & Networking

Strong proficiency with container orchestration tools (e.g., Kubernetes, Slurm, Ray) and high-performance cluster interconnects (e.g., InfiniBand, RoCE, NCCL).

Failure Analysis & Debugging

Proven background in root-cause analysis across software/hardware boundaries, stress testing, and node failure simulation in distributed systems.

Nice To Haves

Direct experience with either AMD (ROCm / HIP) or NVIDIA software stacks.
Experience building workload replay tools, ML evaluation pipelines, or MLPerf Inference benchmark suites.
Familiarity with low-level kernel profiling tools (PyTorch Profiler, NVTX, ROCm profilers) or C++

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

Build and scale automated release qualification, regression testing, and CI/CD systems for the GPU inference stack and multi-node GPU clusters. Validate serving performance, numerical correctness, and resilience through workload benchmarking, telemetry, fault injection, and failure analysis.

Requirements

Requires 8+ years of software engineering experience in SDET, infrastructure quality, or systems testing, along with hands-on experience provisioning and validating multi-node GPU clusters. Candidates should have expert Python automation skills, knowledge of LLM serving and distributed runtimes, proficiency with orchestration and high-performance networking, and experience debugging failures across software and hardware.

Skills

GPU Cluster Validation
LLM Inference Serving
Python
Test Automation
CI/CD
Kubernetes
Slurm
Ray
InfiniBand
RoCE
NCCL
Performance Benchmarking
Numerical Correctness
Fault Injection
Root-Cause Analysis
Prometheus and Grafana

Visa sponsorship

Not detected in the job text

Keywords

GPU Inference
Multi-Node GPU Clusters
NVIDIA
AMD
ROCm
HIP
LLM Serving
Prefill and Decode Disaggregation
KV Cache
Dynamic Batching
Tensor Parallelism
Expert Parallelism
Python
Test Automation Frameworks
CI/CD
Kubernetes
Slurm
Ray
InfiniBand
RoCE
NCCL
Prometheus
Grafana
MLPerf Inference
Workload Replay
FP16
FP8
Quantization
Fault Injection
PyTorch Profiler

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