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Added 2 days ago
Technical Program Manager
HCLTech
Vancouver, BC
$120,000 to $135,000 CAD / year
Full-time
Partner with DevOps teams to improve CI/CD pipelines, deployment automation, monitoring, and scalability.
Added 2 days ago
Software Engineer in Test
PRI Global
Toronto, ON
Contract
SDET with strong Software Engineering background
Added 2 days ago
Software Engineer in Test
PRI Global
Toronto, ON
Contract
We are looking for a Software Development Engineer in Test (SDET) with a strong software engineering background and extensive experience in test automation and development.
Added 2 days ago
Software Engineer in Test
Randstad Digital
Toronto, ON
Contract
We are seeking an experienced QA Engineer / SDET to join our team on a 12-month contract. In this role, you will lead test planning, build automation frameworks, and execute comprehensive…
Added 2 days ago
Senior Engineering Manager, SDET - Okta Identity Governance (OIG)
Okta
Toronto, ON
Drive automation strategy across API, integration, and UI layers, converting manual regression into deterministic CI/CD gates
Added 3 days ago
Principal Quality Architect
Urban Ridge Supplies
Toronto, ON
Full-time
Test Strategy & Automation: Design and build test frameworks and automation across the stack; unit, integration, contract, end-to-end, performance, and load testing. Help establish quality…
Added 3 days ago
Senior Software Developer in Test (Development Focused)- EN
RBC
Montreal, QC
Full-time
…matter expert, driving standards, compliance, and strategic automation for development tools and frameworks to enhance architecture and deliver measurable value. You'll blend technical…
Added 3 days ago
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
Full-time
5+ years of software engineering, SDET, DevTest, or QA automation experience, with strong hands-on programming experience.
Added 3 days ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
5+ years of software engineering, SDET, DevTest, or QA automation experience, with strong hands-on programming experience.
Added 3 days ago
Quality Engineer Full Stack
Hays
Toronto, ON
Contract
Develop and execute API automation tests to validate functionality, performance, and data integrity.
Added 4 days ago
Staff GPU Inference SDET
Cerebras
Toronto, ON
Full-time
Design and implement automated test automation frameworks, regression gates, and release qualification pipelines for the complete GPU inference stack - spanning custom API services,…
Added 4 days ago
Quality Assurance Automation Engineer
Capgemini
Mississauga, ON
Full-time
We are seeking a highly skilled Software Development Engineer in Test (SDET) to join our Quality Engineering team. The ideal candidate will be responsible for designing, developing, and…
Added 4 days ago
Software Development Engineer in Test (SDET)- Contract
Picton Mahoney Asset Management
Toronto, ON
Contract
We are seeking a highly motivated and experienced Software Development Engineer in Test (SDET) to join our engineering team and play a crucial role in ensuring the quality and reliability…
Added 4 days ago
Senior Software Development Engineer in Test
Trackforce
Montreal, QC
Full-time
Trackforce is seeking an experienced and driven Senior Software Development Engineer in Test (Sr. SDET) to join our Engineering team. In this senior individual contributor role, you will be…
Added 4 days ago
QA Analyst
EXFO
Montreal, QC
Full-time
Ingénieur en développement logiciel de tests (SDET)
Added 5 days ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Kitchener, ON
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product…
Added 5 days ago
Sr. SDET
Dialpad
Vancouver, BC
As a Senior Software Developer in Test (SDET) in the Contact Center QA team, you're both a skilled developer who builds elegant, scalable test frameworks and a quality advocate who leads a…
Added 5 days ago
LEAD SDET
J&M Group
Toronto, ON
Full-time
Design and implement scalable automation frameworks for UI, API, mobile, database, and microservices testing.
Added 5 days ago
LEAD SDET
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Design and implement scalable automation frameworks for UI, API, mobile, database, and microservices testing.
Added 6 days ago
Senior Software Developer in Test (SDET)
Global Relay
Halifax, NS
…in code to design testing solutions for web applications and API services of a large scale system. You will drive continual improvement in your team’s automation frameworks and coverage…
Added 6 days ago
Senior Software Developer in Test (SDET)
Global Relay
Halifax, NS
Full-time
…in code to design testing solutions for web applications and API services of a large scale system. You will drive continual improvement in your team’s automation frameworks and coverage…
Added 16 days ago
Senior Software Developer in Test (Development Focused)
RBC
Montreal, QC
Full-time
…matter expert, driving standards, compliance, and strategic automation for development tools and frameworks to enhance architecture and deliver measurable value. You'll blend technical…
Added 10 days ago
Test Automation Senior Manager (SDET)
Accenture
Ottawa, ON · Toronto, ON · Montreal, QC
Full-time
Design and implement automation frameworks (UI, API, mobile) using tools such as Playwright, Appium, and REST Assured
Added 10 days ago
SDET Contractor
PlayStation Global
Waterloo, ON
We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role…
Added 12 days ago
QA Lead, Mobile Test Automation
Range
Toronto, ON
We're hiring a QA Lead to build mobile test automation for our travel platform's native app (React Native/Expo). This would start as an individual-contributor role today, with scope and…

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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Applications open in a new tab.

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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