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Added 13 mins ago
AH
Driver I
Alberta Health Services
Red Deer, AB
- Part-time
…Red Deer Regional Hospital Location Details: As Per Location Multi-Site: Not Applicable FTE: 0.00 Posting End Date: 19-OCT-2026 Employee Class: Casual/Relief Date Available: 29-OCT-2026…
Added 1 hour ago
LR
Metal products manufacturing machine operator
LES REFENDOIRS C.R. LTÉE
Salaberry-de-Valleyfield, QC
- From $27.66 CAD / hour
- Full-time
- On-site
Operate or tend automatic or multi-purpose machines to produce metal parts and metal products
Added 1 hour ago
RF
Shipper and Receiver/Forklift Operator
Rosenberg Fans Canada Ltd.
Mississauga, ON
- Full-time
Requires good manual dexterity (use of hands, hand with arm, and both hands) and strong multi-limb coordination.
Added 1 hour ago
C
Mechanic, Ground Service Equipment
Cargojet
Winnipeg, MB
- Full-time
Ability to obtain a Restricted Area Identity Card (RAIC) and an Airside Vehicle Operator’s Permit (AVOP).
Added 2 hours ago
HH
Switchboard Operator
Hamilton Health Sciences
Hamilton, ON
- Part-time
The Switchboard Operator plays an essential role in supporting HHS' patient and family centred care model. The day to day location of key staff members means that the Switchboard Operator…
Added 3 hours ago
M
Glass-finishing machine operator
Multiver
Québec, QC
- $19 to $30.12 CAD / hour
- Full-time
- On-site
Operate multi-function process control machinery to mix and melt raw materials
Added 4 hours ago
DG
Sales Receptionist
Dilawri Group of Companies
Langley (District), BC · Langley, BC
- Full-time
Switchboard Operator: Answer all incoming phone calls in a professional, polite and efficient manner. Places, receives & routes a high volume of calls through a multi-line switchboard,…
Added 4 hours ago
GP
Production Manager - Paper Bag Manufacturing
Gather Packaging
Toronto, ON · North York, ON
- Full-time
A major part of this role will be capturing individual operator knowledge and turning it into documented, teachable and repeatable manufacturing standards.
Added 5 hours ago
AC
Flour mill machine operator
Avantis Coopérative
Saint-Philippe-de-Néri, QC
- $22.67 to $25.67 CAD / hour
- Full-time
- On-site
Added 5 hours ago
K
Data Entry Operator
Kelly
Toronto, ON
- $21 to $23 USD / hour
- Full-time
We're looking for enthusiastic, motivated individuals to join our client’s team as a Data Entry Operator in Toronto, ON!
Added 5 hours ago
CS
Server
Canlan Sports
Saskatoon, SK
- Full-time
…a team. As North America's largest private sector owner and operator off recreational sports complexes, Canlan Sports brings that belief to life across 15 multi-sport complexes and more…
Added 5 hours ago
TT
CNC Machining Centre Programmer
Titan Trailers Industries Limited - UK
Tillsonburg, ON
- Full-time
Communicate with supervisors, machine operator, engineers, production control, quality and other shop personnel for assignments and to resolve machining or quality issues.
Added 5 hours ago
TT
Co-op or Recent Graduates - CNC Programmers
Titan Trailers Industries Limited - UK
Tillsonburg, ON
- Full-time
Communicate with supervisors, machine operator, engineers, production control, quality and other shop personnel for assignments and to resolve machining or quality issues.
Added 6 hours ago
MA
Operator 4 day work week! Mon-Thur 5:30 AM-4:30 AM
Multi Action Communication INC
Ajax, ON
- $19 to $22 CAD / hour
- Full-time
The Press operator works under the authority of the production supervisor at Multi-Action. The new team member must be able to operate a press for the production of orders. The successful…
Added 6 hours ago
AA
Forklift Operator
Apex Aluminum Extrusions
Langley (District), BC · Langley, BC
- Full-time
We have an exciting opportunity for a Forklift Operator to join our Packaging team in Langley, BC. This is a full-time, permanent position, with an excellent benefits package, and room for…
Added 6 hours ago
GE
Field Labourer, Industrial Services
GFL Environmental Inc.
Prince George, BC · Kitimat, BC
- Full-time
Assist the Operator with the safe operation of the various units.
Added 6 hours ago
GE
Vacuum and High Pressure Pump Operator, Industrial Services
GFL Environmental Inc.
Prince George, BC · Kitimat, BC
- Full-time
Must be motivated, able to multi-task, and effectively collaborate in a team environment.
Added 6 hours ago
GE
Vacuum Truck Operator, Industrial Services
GFL Environmental Inc.
Trail, BC
- Full-time
Must be motivated, able to multi-task, and effectively collaborate in a team environment.
Added 8 hours ago
YH
Facility Manager
Yee Hong Centre For Geriatric Care
Toronto, ON · Scarborough Finch
- Full-time
Hold a college-level "Building Environmental System Operator – Class II" certificate.
Added 8 hours ago
CO
Heavy Equipment Operator
City of Grande Prairie
Grande Prairie, AB
- Full-time
Our Engineering & Transportation Services Department is looking for a dedicated Heavy Equipment Operator to join the team.
Added 9 hours ago
C
Software Engineer, GPU Inference
Cerebras
Toronto, ON
- Full-time
…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…
Added 9 hours ago
WR
Production Supervisor, Siding & Trim (Woodbridge, ON)
Westlake Royal Building Products
Woodbridge, ON
- Full-time
Participate and act as a lead for the new Extruder Operator training
Added 9 hours ago
Advanced CNC Machine Operator (Segment 2; Aerospace)
Schaeffler
Stratford, ON
Set up and operate a minimum of one CNC grinding production process performing single, multi-function and multi-sequencing operations on a universal grinding machine, which may include…
Added 10 hours ago
RF
Shipper and Receiver/Forklift Operator
Rosenberg Fans Canada Ltd.
Mississauga, ON
- Full-time
Requires good manual dexterity (use of hands, hand with arm, and both hands) and strong multi-limb coordination.
Added 10 hours ago
A
Property Administrator (User Experience Partner)
Allied
Montreal, QC
- Full-time
Allied is a leading owner-operator of distinctive urban workspace in Canada’s major cities. Our work is grounded in a clear purpose: to provide knowledge-based organizations with…

Cerebras

Software Engineer, GPU Inference

Toronto, ON, Canada

Full-time

Apply About employer

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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.

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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

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