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Added 1 month ago
Senior Software Engineer - Agentic AI security - 2 positions
Tigera
Vancouver, BC
…running on Kubernetes and beyond. With Lynx by Tigera, we have a platform that discovers agentic AI on any host, secures it through the kernel and our gateway. You will get to work at the…
Added 1 month ago
MR
Go Engineer
Motion Recruitment
Toronto, ON
- $130,000 to $160,000 CAD / year
- Full-time
Our team's partnered with a company who has developed a platform that combines connectivity, integration, analytics and AI into one scalable solution. The overall goal being to simplify…
Added 1 month ago
Senior Backend Engineer II - Patient Experience
Prenuvo
Vancouver, BC
We're looking for a Senior Backend Engineer II to join our Patient Experience team and own the communications platform that keeps patients informed throughout their journey: booking…
Added 1 month ago
Sr. Staff Engineer, IP Runtime
Tenstorrent
Toronto, ON
How custom silicon IP blocks - including RISC-V processor cores, accelerator engines, memory systems, data-movement logic, and interconnects - work together as a complete execution platform.
Added 1 month ago
C
Software Engineer, GPU Inference
Cerebras
Toronto, ON
- Full-time
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…
Added 1 month ago
Test Development Team Lead
Nureva
Calgary, AB
developers responsible for validating a complex IoT collaboration platform consisting of
Added 1 month ago
A
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
We are seeking a Staff Engineer with at least 9 years of experience in distributed systems or data platform development. In this role, you will be a technical leader responsible for…
Added 1 month ago
DC
Ingénieur principal en solutions PLC
Distech Controls
Brossard, QC
- Full-time
Senior PLC Solutions Engineer : Data Center Solutions
Added 1 month ago
PG
Senior Software Developer
PEER Group
Kitchener, ON
- $105,000 to $155,000 CAD / year
- Full-time
Four days per week on-site
Added 1 month ago
IG
Senior Cloud Engineer
Insight Global
Ottawa, ON · Kanata, ON
- $30 to $60 CAD / hour
- Contract
We are seeking a Cloud Engineering Senior Engineer to support the design, development, testing, and deployment of the Telemetry & Observability Platform (TOP). TOP is an enterprise platform…
Added 1 month ago
I-
Adobe Site Reliability Engineer (SRE) – CDN & Web Performance
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
We are seeking a highly skilled and proactive Adobe Site Reliability Engineer (SRE) specializing in CDN and Web Performance to join our client's dynamic team.
Added 1 month ago
G
Integrations Engineer I (Remote, Canada)
GoCanvas
Remote, Canada
- Full-time
- Remote
…infrastructure, logistics, and beyond. We’re the highest-rated EHS platform on Gartner-owned Capterra, empowering field teams and safety leaders to replace paperwork, boost compliance, and…
Added 1 month ago
SL
Senior UI/UX Software Engineer (UE5)
SkyBox Labs
Burnaby, BC
- Full-time
SkyBox Labs is looking for a Senior UI/UX Engineer to join our team on an ambitious AAA co-development project set within a highly anticipated universe.
Added 1 month ago
SL
UI/UX Software Engineer (UE5)
SkyBox Labs
Burnaby, BC
- Full-time
SkyBox Labs is looking for a Senior UI/UX Engineer to join our team on an ambitious AAA co-development project set within a highly anticipated universe.
Added 1 month ago
ES
Client Software Engineer - EA Sports™ FC
EA SPORTS
Vancouver, BC
- Full-time
As a Software Engineer, you will report directly to a Development Director and collaborate closely with producers, designers, artists, and fellow engineers. You will tackle complex…
Added 1 month ago
B
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
Develop analytical frameworks and KPIs to measure data platform effectiveness, ingestion performance, quality trends, and business outcomes.
Added 1 month ago
KG
Senior Platform Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
…environments. We are seeking a highly technical and hands-on Senior Platform Engineer to drive the evolution of our hybrid infrastructure ecosystem spanning on-premises datacenters, cloud…
Added 1 month ago
M
Business System Analyst
MethodHub
Vancouver, BC
- Contract
· Data-driven approach to measuring platform adoption and developer productivity (e.g., DORA metrics), with proficiency in building dashboards and reports.
Added 1 month ago
HO
BI Analytics Engineer
Hydro One
Toronto, ON
- $80 to $100 CAD / hour
- Contract
We are seeking a BI / Analytics Engineer to support the data, semantic model, and reporting components of contact center analytics solutions built on Microsoft Fabric and Power BI.
Added 1 month ago
S
Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
The Head of Data Systems (Google Stack) will play a key role at Stacktics, required to help create and maintain industry-leading quality and efficiency of service and software delivery.
Added 1 month ago
Agentic AI Architect, Kitchener, ON ( Hybrid)
Siemens
Kitchener, ON
Set standards for data ingestion, preprocessing, and transformation across the platform
Added 1 month ago
Associate Technical Services Engineer II
MongoDB
Toronto, ON
This role is based in Toronto and follows a hybrid working model, with a minimum expectation of three days per week in the office
Added 1 month ago
S
Software Engineer, Streaming Platform
Sentry
Remote, Canada
- $163,000 to $200,000 CAD / year
- Full-time
- Remote
This role is based in Toronto, with three days per week in the office to work closely with engineering teams
Added 1 month ago
DC
Civil Engineering Graduate/Asset Management Analyst
Dillon Consulting Limited
Fredericton, NB · Saint John, NB · Moncton, NB
- Full-time
…engineering design and asset management, turning complex client data into structured, predictive asset databases while supporting the design of municipal…
Added 1 month ago
DC
Civil Engineering Graduate/Asset Management Analyst
Dillon Consulting Limited
Toronto, ON · Hamilton, ON · Kingston, ON · Oakville, ON · North York, ON
- Full-time
…engineering design and asset management, turning complex client data into structured, predictive asset databases while supporting the design of municipal…

Cerebras

Software Engineer, GPU Inference

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
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.

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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

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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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Jobs in Canada