Jobs in Canada

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Added 1 month ago
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Sales Assistant - Dorval
Randstad Canada
Dorval, QC
- $45,000 to $50,000 CAD / year
Must have a strong working knowledge of MS Office, Excel, Word
Added 1 month ago
RC
Inside Sales Representative - Remote
Randstad Canada
Winnipeg, MB
- $60,000 CAD / year
…seeking a dynamic remote role. As a key growth driver within the team, the Inside Sales Representative plays a vital role in identifying influencers, connecting with key decision-makers,…
Added 1 month ago
Senior UX Designer
Randstad Canada
Toronto, ON
Assignment Type: Hybrid (3 days per week onsite)
Added 1 month ago
RC
SAP Ariba Consulting Specialist
Randstad Canada
Toronto, ON
- $85.56 to $92.31 CAD / hour
Assignment Type: Hybrid (3 days per week onsite)
Added 1 month ago
RC
Business Analyst III
Randstad Canada
Toronto, ON
- $46.46 to $54.02 CAD / hour
Assignment Type: Hybrid (4 days per week onsite)
Added 1 month ago
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Warehouse Trainer/MHE /Forklift Trainer-Halifax
Randstad Canada
Halifax, NS
- $60,000 to $65,000 CAD / year
A leading logistics and transportation company is seeking a Trainer to join its growing team in the Halifax, Ontario. Known globally for its excellence, the company is expanding and looking…
Added 1 month ago
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Operational Technician
Randstad Canada
Mississauga, ON
- $20 to $22 CAD / hour
Flexibility: Must be able to work a weekly rotating shift schedule
Added 1 month ago
RC
Senior Embedded Software Engineer - BSP and Secure Bootloaders
Randstad Canada
Kanata, ON
- $79.66 to $86.59 CAD / hour
Our client’s BSP and Driver Development Team is seeking a highly skilled Embedded Software Engineer specializing in Board Support Packages (BSPs) and secure bootloaders. This is a Fully…
Added 1 month ago
RC
Intermediate Embedded Software Engineer – BSP and Bootloaders
Randstad Canada
Kanata, ON
- $76.2 to $79.66 CAD / hour
Our Client’s BSP and Driver Development Team is seeking a skilled Embedded Software Engineer specializing in Board Support Packages (BSPs) and low-level bootloaders. This is a Fully Onsite…
Added 1 month ago
Laboratory Supervisor
Randstad Canada
Knowlton, QC
Schedule: Full-Time, Permanent 8-Hour Day Shift Monday to Friday
Added 1 month ago
Quality Control Supervisor
Randstad Canada
Knowlton, QC
Schedule: Full-Time, Permanent 8-Hour Day Shift Monday to Friday
Added 1 month ago
Senior Software Developer - Full Stack
Randstad Canada
Toronto, ON
Assignment Type: Hybrid (3 days per week onsite)
Added 1 month ago
RC
GTM Engineering Lead
Randstad Canada
ON
- $150,000 to $180,000 CAD / year
…and event-driven - there's no systematic outbound, no ABM, no lead scoring, no nurture infrastructure. The company has made a deliberate bet: instead of building a traditional marketing…
Added 1 month ago
RC
Skilled General Labourer
Randstad Canada
Brantford, ON
- $23 to $26 CAD / hour
…dedicated Skilled General Labourer to join a dynamic production team in Brantford, ON. As a vital member of our manufacturing & logistics workforce, you will contribute directly to…
Added 1 month ago
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Software Developer IV
Randstad Canada
Toronto, ON
- $46.78 to $62.37 CAD / hour
…hands-on Microsoft Power Platform experience with strong backend development skills in Node.js, PostgreSQL, and .NET, this 12-month contract is an outstanding opportunity. Bring your…
Added 1 month ago
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Manager, Digital Marketing Automation
Randstad Canada
Toronto, ON
- $120,000 to $130,000 CAD / year
We are seeking an experienced and visionary Manager, Digital Marketing Automation to lead a high-performing digital marketing technology team within a premier global enterprise financial…
Added 1 month ago
RC
Solutions Developer V
Randstad Canada
Toronto, ON
- $71.48 to $79.24 CAD / hour
Work Arrangement: Hybrid (3 days per week on-site at the corporate office; Anchor day: Thursday, with 2 flexible on-site days and 2 WFH days)
Added 1 month ago
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Sr. Frontend Developer
Randstad Canada
Mississauga, ON
- $53.07 to $59.7 CAD / hour
In this strategic frontend role, you will lead the development and evolution of cutting-edge, user-facing digital applications using modern microfrontend architectures and TanStack.…
Added 1 month ago
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Application Engineer
Randstad Canada
Toronto, ON
- $63.85 to $74.06 CAD / hour
Location: Toronto, ON (Hybrid – 4 days in office, potential for 3 days after 6 months)
Added 1 month ago
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Sr. Developer
Randstad Canada
Toronto, ON
- $66.33 to $76.29 CAD / hour
We are seeking a Senior Guidewire ClaimCenter Developer to join a dynamic digital transformation team. In this role, you will design, develop, configure, integrate, test, and support…
Added 1 month ago
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Technical Lead
Randstad Canada
Waterloo, ON
- $120,000 to $130,000 CAD / year
This is a hybrid role with 3 days in office · Hybrid working environment (3 days in office)
Added 1 month ago
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Senior Group Manager Finance
Randstad Canada
Toronto, ON
- $140,000 to $150,000 CAD / year
…across key organizational segments. In this role, you will lead a high-performing finance team, provide fact-based analytical advice, and address complex, multifaceted financial management…
Added 1 month ago
Pastry Sous Chef - Teatro
Teatro Ristorante Ltd.
Calgary, AB
Lead, coach, and train pastry team members while supporting a positive and professional kitchen culture
Added 1 month ago
Spécialiste du soutien aux ventes – Multi-Résidentiel / Sales Support Specialist - Multi-Residential
Morguard
Montréal, QC
Added 1 month ago
Development Manager
Flexstaf IT
Toronto, ON
This position follows a hybrid working policy, requiring two (2) days per week in our office and three (3) days working remotely

Cerebras Systems

Staff GPU Inference SDET

Toronto, ON, Canada

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Job details

Experience: 8+ years of software engineering experience as an SDET, Infrastructure Quality Lead, or Systems Test Engineer.
Posting language: English
Posted: Sep 9, 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
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

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.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The Staff GPU Inference SDET will build automated test suites and release gates that check GPU clusters, LLM serving engines and model accuracy. The role also designs fault-injection tests and connects performance monitoring to CI/CD pipelines.

Requirements

Cerebras Systems needs 8+ years of software test or infrastructure quality experience. Candidates must have hands-on GPU cluster bring-up experience, knowledge of LLM serving engines, expert Python and strong Kubernetes, Slurm or Ray skills.

Skills

Python
CI/CD integration
GPU cluster provisioning
NVIDIA GPU stack
AMD ROCm/HIP
Kubernetes
Slurm
Ray
InfiniBand
RoCE
NCCL
LLM serving engines
prefill and decode disaggregation
KV-cache management
dynamic batching
performance benchmarking
fault injection
chaos engineering
root-cause analysis
Prometheus
Grafana
PyTorch Profiler
NVTX
C++

Keywords

SDET
GPU inference
LLM inference
Python
test automation
release qualification
CI/CD
Kubernetes
Slurm
Ray
InfiniBand
RoCE
NCCL
NVIDIA
AMD ROCm
HIP
PyTorch Profiler
NVTX
Prometheus
Grafana

Seniority

senior

Department

software_development

Tools

Python
Kubernetes
Slurm
Ray
Prometheus
Grafana
PyTorch Profiler
NVTX
InfiniBand
NCCL

Languages

English

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Work requirements

Jobs in Canada