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Added 1 min ago
EM
Planner Medium Term
Evolution Mining
Red Lake, ON
- Full-time
The Medium Term Planning Engineer is a new role, that plays a pivotal role in shaping the future of the Red Lake Operations. With 4 key mining zones across new and historic orebodies, you…
Added 1 min ago
HB
Software Engineer - Python - Elite FinTech Firm - Up to $200k CAD + Industry Leading Bonus
Hunter Bond
Montreal, QC
- Full-time
Added 1 hour ago
DC
Senior Project Manager – Transportation/Traffic Engineering & Roadway Safety
Dillon Consulting Limited
Guelph, ON · Hamilton, ON · Kingston, ON · Kitchener, ON · Oakville, ON · Ottawa, ON · Toronto, ON · Vaughan, ON · North York, ON
- Full-time
Dillon Consulting’s Integrated Mobility Discipline is seeking an experienced engineer who wants to shape market strategy, drive business growth, and mentor the next generation of technical…
Added 3 hours ago
M
Staff Data Engineer
MeeruAI
Canada
- Full-time
We are looking for a Staff Data Engineer to build and own the major subsystems of the data foundation - the pipelines, connectors, and curated models that feed the platform's analytics and…
Added 6 hours ago
F
Technical Support Specialist- FortiSASE
Fortinet
Burnaby, BC
- Full-time
Added 6 hours ago
Dir Cyber Security Engineering
Altice USA
Toronto, ON
Network & ISP security: engineer and operate DDoS scrubbing/runbooks; authoritative DNSSEC and WAF hygiene for customer-facing properties; coordinate policy distribution with backbone…
Added 7 hours ago
S
Senior Electrical Engineer
Sedgman
Montreal, QC
- Full-time
Sedgman is currently looking for a Senior Electrical Engineer to join our team in Montreal. The ideal incumbent will be a mentor and coach to a young and enthusiastic team. He/she will be…
Added 9 hours ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This role suits a strong hands-on engineer who is equally comfortable on the front end and the back end, and who can take part in solution design as well as delivery. You will translate…
Added 9 hours ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
This role suits a strong hands-on engineer who is equally comfortable on the front end and the back end, and who can take part in solution design as well as delivery. You will translate…
Added 9 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 11 hours ago
I
Data Governance Architect
Infostrux
Toronto, ON
- Full-time
You don't need to be the engineer building the pipelines, but you do need to understand the technology well enough to govern it. That means designing, specifying, and validating governance…
Added 11 hours ago
Career Education and Co-op Program Coordinator, College of Engineering
University of Saskatchewan
Saskatoon, SK
Registration or eligibility to register as a Professional Engineer (P.Eng.) with the Association of Professional Engineers and Geoscientists of Saskatchewan (APEGS) is preferred.
Added 11 hours ago
JC
Associate IT Operations Engineer
Johnson Controls
Nisku, AB
- Full-time
Added 11 hours ago
Methods Manager / Engineering Manager
Aecon
Hamilton, ON
Added 13 hours ago
MC
DevOps Specialist - Kubernetes (35700)
Myticas Consulting
Ottawa, ON
- Full-time
Added 15 hours ago
G
Growth Marketing Engineer (Content)
Ground
Toronto, ON
- Full-time
We’re looking for a Growth Marketing Engineer (Content) who can identify what’s driving results, understand why it works, and build the systems and experiments to scale it, with a deep…
Added 16 hours ago
TC
DevSecOps Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Added 18 hours ago
TC
Production Support Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Added 18 hours ago
TC
Sr. IFRS17 Data Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Added 18 hours ago
AI
Manager, Project Management
American Iron & Metal (AIM)
Hamilton, ON
- Full-time
Professional Engineer (P.Eng.) designation is considered a strong asset.
Added 19 hours ago
C-
Technical Sales and Field Service Engineer
Captiveaire - Region 114 Western PA
Ottawa, ON
- Full-time
Seeking a driven and motivated engineer to join our sales team focusing on growing business with existing customers and developing new business. This position will involve applications…
Added 19 hours ago
A
Test Automation Lead
Accenture
Mississauga, ON
- Full-time
We are looking for a Mainframe Quality Engineer to ensure the quality, accuracy, and resilience of mainframe-based retail banking and investment applications. You will design and execute…
Added 20 hours ago
N
Mechanical Engineer
Noratel
Mississauga, ON
- Full-time
We are looking for a hands-on mechanical engineer who wants to see their designs move from concept to production and make a real impact across manufacturing operations in Canada, the United…
Added 20 hours ago
H
Structural BIM Designer
HDR
Vancouver, BC
- Full-time
…environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of…
Added 21 hours ago
H
Structural BIM Designer
HDR
Vancouver, BC
- Full-time
…environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of…

Cerebras

Staff GPU Inference SDET

Toronto, ON, Canada

Full-time

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Job details

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

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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