Find work in Canada.

347,634 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 2 mins ago
DC
Truck mechanic
Davidson Contract Services
Kitchener, ON
- $38 to $49 CAD / hour
- Full-time
- On-site
Added 4 mins ago
TC
Production supervisor - printing
Trans-United Consultants Ltd.
Mississauga, ON
- From $75,000 CAD / year
- Full-time
- On-site
Added 7 mins ago
C
Process Improvement Specialist
CBRE
Toronto, ON
- Full-time
…backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all…
Added 7 mins ago
WC
Overnight Dairy Frozen Associate
Walmart Canada
Maple Ridge, BC
- Full-time
Position Summary...Working as a Dairy/Frozen Associate at Walmart Canada is a great opportunity to build valuable skills in a fast paced retail environment. In this role, you deliver…
Added 7 mins ago
CV
Event Specialist
CPABC Vancouver Chapter
Vancouver, BC
- Full-time
…like-minded professionals and take the first step towards an exciting opportunity by applying to the…
Added 7 mins ago
HI
Technical Sales Manager
Hillmar Industries Ltd.
Delta, BC
- Full-time
Opportunity to make a meaningful impact on strategic growth.
Added 7 mins ago
TL
Remote Lodge Sous Chef
Tyax Lodge & Heliskiing
Gold Bridge, BC
- Full-time
Sous Chef – Executive Chef Succession Opportunity
Added 7 mins ago
WC
(CAN) General Merchandise Associate
Walmart Canada
Stephenville, NL
- Contract
Position Summary...Working as a General Merchandise Associate at Walmart Canada is a great opportunity to build valuable skills in a fast‑paced retail environment. In this role, you deliver…
Added 7 mins ago
T
Analyste Des Systèmes D'affaires (BSA) / Business Systems Analyst (BSA)
TEKsystems
Montreal, QC
- $80 to $90 CAD / hour
- Contract
…factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related…
Added 7 mins ago
CB
Baker - Full-time Position with Benefits
COBS Bread
Welland, ON
- Full-time
Accommodation is available upon request for applicants and employees with disabilities. If you are contacted for a job opportunity, please advise us of any accommodations needed to ensure…
Added 7 mins ago
T
Customer Service Analyst - Investment Banking - Hybrid 1 Day/M In Office
TEKsystems
Toronto, ON
- $22 to $24 CAD / hour
- Full-time
…factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related…
Added 7 mins ago
A
Représentant(e) des ventes- Grands comptes (CHASSEUR)/Senior Sales Representative, Up Market Accounts (Hunter)
ADP
Montreal, QC
- Full-time
Added 7 mins ago
CB
Baker - Full-time Position with Benefits
COBS Bread
St. Catharines, ON
- Full-time
Accommodation is available upon request for applicants and employees with disabilities. If you are contacted for a job opportunity, please advise us of any accommodations needed to ensure…
Added 7 mins ago
A
Pre-Sales Solution Consultant
ADP
Mississauga, ON
- $59,300 to $94,800 CAD / year
- Full-time
Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment…
Added 8 mins ago
Interim FT Meat & Seafood Clerk.
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Conception Bay South, NL
…to enable performance and growth. To learn more about this opportunity including the expected range of compensation in accordance with Pay Transparency Legislation where required please…
Added 8 mins ago
Daycamp Site Director
YMCA of Northeastern Ontario
Sudbury, ON · Greater Sudbury, ON
This job posting is for the creation of an applicant pool and is not intended to fill a current vacancy at this time.
Added 8 mins ago
School Age Early Childhood Educator - Ferndale
YMCA of Simcoe/Muskoka
Barrie, ON
The opportunity: To build healthy, strong, connected communities through nurturing environments for children.
Added 8 mins ago
Child Care Supply Assistant - Req. 1049
YMCA of Simcoe/Muskoka
Innisfil, ON
The opportunity: To build healthy, strong, connected communities through nurturing environments for children.
Added 8 mins ago
School Age Early Childhood Educator - Holy Family
YMCA of Simcoe/Muskoka
New Tecumseth, ON
The opportunity: To build healthy, strong, connected communities through nurturing environments for children.
Added 8 mins ago
Talent Acquisition Coordinator
RAM Engineering Ltd.
Vancouver, BC
Manage the candidate experience from job posting through offer, including screening, interviews, assessments, and offer administration.
Added 8 mins ago
Casual - Tenant Support Worker (Prince George)
Connective
Prince George, BC
…15 shifts (5 days) per month (5 overnight) - if holding a FT job or…
Added 23 mins ago
A
New Graduate, Civil Engineering (2027)
AtkinsRéalis
Vancouver, BC · St. John's, NL · Halifax, NS · Ottawa, ON · Toronto, ON
- Full-time
Designed exclusively for recent graduates, Odyssey is more than a job - it’s a launchpad for your professional journey. Over the course of the program, you’ll gain hands-on experience,…
Added 23 mins ago
BM
Lube Bay Foreman
Birch Mountain Enterprises
Fort McMurray, AB
- Full-time
Provide training to employees on company and job processes, procedures and safety protocols.
Added 23 mins ago
C
Seismic Imaging Analyst
CGG
Calgary, AB · CAN-Calgary
- Full-time
…problem-solving, and optimizing workflows. Additionally, you will have the opportunity to work closely with our Research and Software Development teams to develop innovative techniques and…
Added 23 mins ago
C
Master Maintenance Technician (T & I) (On-site)
CBC/Radio-Canada
Montreal, QC
- Full-time
If necessary, carry out all or part of the duties of another job classification within an equivalent or lower salary group, as well as other related duties.

Cerebras

Software Engineer, GPU Inference

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 8, 2026
Experience: 5+ years of software engineering experience, including substantial individual-contributor ownership of complex production systems.
Posting language: English
Posted: Oct 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

Cerebras is building a new generation of disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale Engine.

We are hiring a Software Engineer to productionize and optimize our GPU serving stack, working across our custom inference APIs, the vLLM serving runtime, the AMD ROCm software stack, and rack-scale AMD GPU infrastructure, to make this new serving path reliable, numerically correct, observable, and exceptionally performant.

You will write production code, establish operational practices for a new accelerator fleet, and drive improvements in time to first token, throughput, tail latency, and capacity efficiency. This is a hands-on role requiring deep debugging and optimization across application, runtime, distributed systems, and hardware layers.

Responsibilities

Productionize the GPU inference stack. Design, build, deploy, and maintain the complete GPU prefill path, spanning API services, model-serving workers, vLLM, PyTorch, ROCm, GPU nodes, networking, and rack-scale infrastructure.
Own GPU operational readiness. Establish deployment, upgrade, rollback, health-checking, capacity-management, and failure-recovery practices for the AMD GPU fleet. Build automation that makes driver, firmware, runtime, model, and container compatibility explicit and reproducible.
Drive reliability in production. Define service-level indicators and objectives for GPU-backed inference. Improve fault isolation, graceful degradation, automated recovery, incident response, and post-incident remediation across the serving stack.
Improve inference performance. Profile and optimize time to first token, request throughput, tokens per second per GPU, tail latency, GPU utilization, memory efficiency, and rack-level capacity under representative production workloads.
Optimize model-serving behavior. Tune and improve scheduling, continuous batching, prefix caching, KV-cache management, tensor and expert parallelism, request admission, quantization, graph execution, and distributed communication.
Debug across system layers. Diagnose complex failures and performance regressions across application code, vLLM, PyTorch, ROCm/HIP, collective communication libraries, kernels, drivers, firmware, networking, and hardware.
Ensure numerical correctness. Build validation and regression infrastructure for model quality, numerical accuracy, precision changes, quantization, determinism, and compatibility across software and hardware releases.
Build performance and correctness infrastructure. Develop representative benchmarks, workload replay tools, profiling automation, release qualification, dashboards, and regression gates. Turn one-off investigations into repeatable engineering systems.

Minimum Qualifications

5+ years of software engineering experience, including substantial individual-contributor ownership of complex production systems.
Experience building, operating, or optimizing production inference systems for large language models, multimodal models, or similarly demanding GPU workloads.
Strong programming ability in C++ and Python, including experience with multithreading, concurrency, memory management, and performance-sensitive software.
Hands-on experience with a high-performance model-serving framework such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, or an equivalent internally developed system.
Strong understanding of GPU execution and performance, including asynchronous execution, memory movement, synchronization, kernel launches, communication overhead, and profiling methodology.
Experience debugging distributed systems across multiple layers rather than treating the serving framework or accelerator runtime as a black box.
Experience with Linux, containers, Kubernetes or comparable orchestration systems, observability, CI/CD, and operating latency-sensitive services in production.
Ability to design rigorous benchmarks, interpret noisy performance results, identify bottlenecks, and translate findings into production improvements.
Strong communication and technical leadership skills, with a demonstrated ability to drive ambiguous cross-functional projects to completion.
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience.

Preferred Qualifications

Experience with AMD Instinct accelerators and the ROCm ecosystem, including HIP, RCCL, rocprofiler, AMD SMI, AITER, hipBLASLt, Composable Kernel, or related libraries and tools.
Deep CUDA experience that demonstrates an ability to transfer GPU systems knowledge across accelerator platforms.
Experience modifying or contributing to vLLM, SGLang, PyTorch, Triton, TensorRT-LLM, or another open-source ML systems project.
Experience optimizing prefill-heavy or disaggregated prefill/decode inference architectures.
Understanding of KV-cache transfer, prefix caching, continuous batching, chunked prefill, request scheduling, and memory-aware admission control.
Experience with multi-GPU and multi-node inference, including tensor parallelism, pipeline parallelism, expert parallelism, RDMA, collective communication, and failure handling.
Experience optimizing Mixture-of-Experts or multimodal models.
Knowledge of GPU kernel optimization, operator fusion, graph capture, attention kernels, GEMM tuning, and communication/computation overlap.
Experience with reduced-precision inference and quantization formats such as BF16, FP8, FP4, INT8, or INT4, including validation of their numerical and model-quality effects.
Experience building numerical-comparison, determinism, model-validation, or performance-regression test systems.
Experience collaborating directly with accelerator vendors, framework maintainers, or open-source communities.

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.

Apply About employer

More about this job

Responsibilities

Productionize and operate the GPU prefill serving stack across APIs, vLLM, PyTorch, ROCm, GPU nodes, and rack-scale infrastructure, establishing deployment, reliability, and recovery practices. Optimize inference performance and capacity, debug issues across software and hardware layers, and build repeatable benchmarking, correctness, observability, and release-qualification systems.

Requirements

Requires at least five years of software engineering experience, substantial ownership of production systems, experience with production LLM or comparable GPU inference, strong C++ and Python skills, and hands-on experience with a high-performance serving framework. Candidates should understand GPU execution and distributed systems, have experience operating latency-sensitive services with Linux, containers, orchestration, observability, and CI/CD, and hold a bachelor’s degree in a related discipline or equivalent practical experience.

Skills

C++
Python
GPU Inference
vLLM
AMD ROCm
GPU Performance Optimization
Distributed Systems
Kubernetes
Linux
Model Serving
Performance Profiling
Continuous Batching
KV-Cache Management
Quantization
Numerical Validation
Production Reliability

Visa sponsorship

Not detected in the job text

Keywords

Cerebras Systems
GPU Inference
AMD Instinct
AMD ROCm
HIP
RCCL
vLLM
PyTorch
SGLang
TensorRT-LLM
Triton Inference Server
C++
Python
Kubernetes
Linux
Distributed Systems
Rack-Scale Infrastructure
Continuous Batching
Prefix Caching
KV-Cache
Tensor Parallelism
Expert Parallelism
RDMA
Quantization
BF16
FP8
GPU Kernel Optimization
Performance Profiling
Numerical Correctness
Inference Reliability

Report this job