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Added 10 mins ago
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Director, Value Creation Private Markets
OPTrust
Toronto, ON
- Full-time
…combines expertise in private markets, process transformation, data, analytics, and AI to improve investment decision-making, operational efficiency, and portfolio outcomes. Key…
Added 10 mins ago
CG
Business Development Associate
CORA Group
Markham, ON · Canada - Markham - Ontario
- Full-time
Jonas Software is the leading provider of enterprise management software solutions. Within these vertical markets, Jonas is made up of over 130 distinct brands, which are respected and…
Added 10 mins ago
JS
Business Development Associate
Jonas Software
Markham, ON · Canada - Markham - Ontario
- Full-time
Jonas Software is the leading provider of enterprise management software solutions. Within these vertical markets, Jonas is made up of over 130 distinct brands, which are respected and…
Added 10 mins ago
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Sr. Security Service Manager, Application Security
CIBC
Toronto, ON
- Full-time
You can demonstrate experience in Application Security, Vulnerability Management, and data security standards and best practices. You bring senior-level experience in application security,…
Added 10 mins ago
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Senior Technology Manager, Loan Servicing Technology
BMO
Toronto, ON · FCP
- Full-time
Provide leadership in solution architecture, system design, API management, integration architecture, and engineering governance.
Added 10 mins ago
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Senior Technology Manager
BMO
Toronto, ON · FCP
- Full-time
Provide leadership in solution architecture, system design, API management, and engineering best practices.
Added 55 mins ago
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AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
- Full-time
Reporting to the Director of Software Architecture and Contract Management, you will be responsible for establishing, leading and contributing to the AI Architecture evolution and…
Added 55 mins ago
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Audit Manager I, TD Securities (1151)
TD
Toronto, ON
- Full-time
Execute testing of controls such as but not limited to walkthroughs (leading and documentation), test scripts (development and execution), and issue management (identification and capturing…
Added 55 mins ago
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Audit Manager II, Financial Crimes (1148)
TD
Toronto, ON
- Full-time
…adherence to internal and external regulations. We crunch the data, consult with our partners and stakeholders, and present our findings to mitigate the risks of today and around the corner…
Added 55 mins ago
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Senior Audit Group Manager, Financial Crimes Fraud and Insider Risk (1158)
TD
Toronto, ON
- Full-time
…adherence to internal and external regulations. We crunch the data, consult with our partners and stakeholders, and present our findings to mitigate the risks of today and around the corner…
Added 55 mins ago
T
Audit Manager II (ATH 993)
TD
Toronto, ON
- Full-time
Complete L1 reviews/sign off on all audit activities (i.e. walkthroughs, test scripts, test results, grid, evidence uploads)
Added 55 mins ago
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Financial Service Representative (Hybrid) - Outbound calls - Bilingual
CIBC
Montreal, QC
- Full-time
We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
Added 1 hour ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
…problem solving process, the team member will analyze service data, identify/investigate potential root causes, verify true root causes, and develop permanent corrective…
Added 1 hour ago
HT
Mechanical Designer (Fluidpower)
Husky Technologies
Bolton, ON
- Full-time
Cross discipline interaction and communication including cross discipline inputs – Analysis, Electrical, Software, Mechanical, Metallurgy, Manufacturing, Validation/Test
Added 1 hour ago
HT
IT Internal Auditor
Husky Technologies
Bolton, ON
- Full-time
…will play a key role within the Internal Audit Department to test the effectiveness of Internal Controls and Financial Processes to support the successful execution of our internal audit…
Added 1 hour ago
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Optimization & Process Engineering Analyst Co-op (16 Month Term)
CIBC
Toronto, ON
- Full-time
…collaborate in a team setting and focus on activities such as data collection, research, and analysis to assist in the design, testing, and implementation of organizational and process…
Added 1 hour ago
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System Admin - On-prem & Cloud (AWS & Azure)
BMO
Toronto, ON · SCC
- Full-time
OS Management: Configure, patch, harden, and maintain Linux (RedHat) and Windows Server environments.
Added 1 hour ago
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Vice President, Commodities Development
BMO
Toronto, ON · FCP
- Full-time
Own the end-to-end Commodities trading technology platforms including electronic execution and RFQ workflows, Order Management Systems (OMS), Trade Capture, lifecycle management and…
Added 1 hour ago
B
Development Manager
BMO
Toronto, ON · FCP
- Full-time
Applies development expertise to front and back-end systems coding combined with project management experience with systems administration skills. Designs the strategy for continuous…
Added 1 hour ago
B
Senior Technical Lead
BMO
Toronto, ON · FCP
- Full-time
Provide leadership and expertise for production support activities, incident management, root-cause analysis, and problem resolution.
Added 1 hour ago
B
Development Manager
BMO
Toronto, ON · FCP
- Full-time
Applies development expertise to front and back-end systems coding combined with project management experience with systems administration skills. Designs the strategy for continuous…
Added 1 hour ago
B
Fixed Income Trading Analyst
BMO
Toronto, ON · FCP
- Full-time
Strong knowledge of all aspects of broker/dealer Fixed Income trading – pricing/Risk, RFQ/position/inventory management, clearing/settlements, regulatory
Added 1 hour ago
IR
Social Media Specialist (GTA)
Islamic Relief Canada
Burlington, ON · Ontario
- Full-time
…activities across the GTA. The Specialist also contributes to data-informed content planning and ensures a consistent, high-quality, and brand-aligned presence across all our social media…
Added 1 hour ago
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Culinary Specialist 12-18 Month Contract
Sysco
Vancouver, BC · Sysco Vancouver
- Full-time
Coordinate with Director of Business Resources, leveraging data to identify top opportunities for business reviews.
Added 1 hour ago
VC
Senior Functional Analyst, Business Systems & Integration
Vancouver Coastal Health
Vancouver, BC
- $46.39 to $66.68 CAD / hour
- Temporary
…objectives. Works with users to troubleshoot system problems, test system solutions, establish clear lines of communication and ensure clear visibility to critical functional issues.…

Cerebras

Software Engineer, GPU Inference

Toronto, ON, Canada

Full-time

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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.

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

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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