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Added 4 months ago
MA
Head of Sales / Revenue Operator - COMMISSION ONLY ROLE
Miles Ahead Hosting
Remote, Canada
- $80,000 to $160,000 CAD / year
- Full-time
- Remote
…The opportunity is there. Now we need a strong sales leader/operator who can bring structure, accountability, training, and closing discipline to convert that activity into paid…
Added 3 months ago
AG
Data Scientist (ML Engineer)
Adelphi Group
Toronto, ON
- Full-time
Perpetua is the retail media platform within the Flywheel Commerce Network, built for the challenger brand; the operator who cannot out spend the category leader and has to out execute…
Added 3 months ago
AG
Product Manager, Perpetua
Adelphi Group
Toronto, ON
- Full-time
Perpetua is the challenger brand retail media platform within the Flywheel Commerce Network, built for the operator who cannot out-spend the category leader and has to out-execute instead.…
Added 3 months ago
SM
Clinical Program Manager
Sonus Microsystems
Vancouver, BC
- Full-time
Sonus Microsystems is reimagining ultrasound for continuous, operator-independent patient monitoring, and we're looking for a Clinical Program Manager to join our highly collaborative team…
Added 3 months ago
NB Building Operator
The Armour Group Limited
Fredericton, NB
…skilled professionals, Armour is presently seeking a Building Operator New Brunswick, Fredericton…
Added 3 months ago
Process Control & Machine Operator(s) - Beverage Processing
Ice River Sustainable Solutions
Feversham, ON
Ice River is currently looking for twenty-four (24) Process Control & Machine Operator(s), Beverage Processing (NOC 94140) to join our team. You will be working at our Feversham facility,…
Added 3 months ago
CS
Staff Software Engineer, GPU Inference
Cerebras Systems
Remote, Canada
- Full-time
- Remote
Debug across system layers. Diagnose complex failures and performance regressions across application code, vLLM, PyTorch, ROCm/HIP, collective communication libraries, kernels, drivers,…
Added 3 months ago
T
AI Program Lead
TBDC
ON · Brampton North Central, Ontario
- Full-time
You turn ambiguity into execution. You are a senior program operator who can take a broad mandate, establish the operating model, and keep multiple teams and partners moving toward the same…
Added 1 month ago
A
(Elora) Commissioning Engineer
Actalent
Centre Wellington, ON
- Contract
…energization, and turnover of utility-scale Battery Energy Storage System (BESS) facilities from pre-commissioning through commercial operation. This role focuses on large, grid-scale…
Added 1 month ago
A
(Oxford) Commissioning Engineer
Actalent
Woodstock, ON
- Contract
…energization, and turnover of large-scale Battery Energy Storage System (BESS) facilities. This role offers significant field exposure and the opportunity to support the deployment of…
Added 4 months ago
AA
CNC Set-up Operator
ALMAG Aluminum
Brampton, Ontario
- Full-time
Reporting to the Fabrication Supervisor the CNC Set-up Operator organizes and sets up the manufacturing equipment to produce finished good to spec as identified by the engineering drawings.
Added 5 months ago
BC
Engineer and Project Leader, Automation (Relocation to Sept-Îles)
BBA Consultants
Mont-Tremblant, Quebec
- Full-time
Help program PLCs, DCSs and operator interfaces
Added 4 months ago
DH
Plant Operator - RMW
Daniels Health
Abbotsford, British Columbia
- $20 to $21 CAD / hour
- Full-time
In Australia, we lived out our dream. Investing years into R&D to create the safest containment system in the world and taking on the industry status quo to petition for higher standards in…
Added 4 months ago
RS
Pre-Wash Operator
Revolution Sustainable Solutions, LLC
Bashaw, Alberta
- Full-time
We're Hiring! Revolution is looking for a Pre-Wash Operator to join our team in Bashaw, AB. This is a full-time job opportunity, with generous benefits and overtime hours available. This…
Added 5 months ago
MG
Asphalt Plant Operator
Municipal Group of Companies
Bedford, Nova Scotia
- Full-time
…seeking the qualifications and expertise of an Asphalt Plant Operator based out of Bedford,…
Added 4 months ago
AC
Machine Operator
Albarrie Canada Limited
Barrie, Ontario
- Full-time
Records information on a production sheet and the ERP system (such as length, width, weight, defects, etc).
Added 2 months ago
Industrial Millwright/Operator
CityofOttawa
Ottawa, ON
As a licensed water treatment, wastewater treatment and/or wastewater collection system operator, you are also responsible for operating various pieces of process equipment (in Drinking…
Added 2 months ago
Industrial Electrician/Operator
CityofOttawa
Ottawa, ON
As a licensed water treatment, wastewater treatment and/or wastewater collection system operator, you are also responsible for operating various pieces of process equipment (in Drinking…
Added 3 months ago
A
Field Services Representative
ATCO
Whitehorse, YT
- Full-time
…running smoothly - whether you’re verifying meters, supporting system audits, or assisting with powerline maintenance, your work will directly impact thousands of customers across the…
Added 3 months ago
LT
CNC Machinist
LMI Technologies
Surrey, BC
- $57,018 to $74,100 CAD / year
- Full-time
Training and handoff activities associated to ensure the operator will run a job successfully.
Added 2 months ago
G
Opérateur de Production (Conditionnement) Jour ($32.00/h à $34.50/h)
Galderma
Montreal, QC
- Full-time
We are looking for a reliable and detail-oriented Packaging Operator to join our production team. In this role, you will be responsible for operating and maintaining packaging equipment,…
Added 1 month ago
A
(Oxford) Commissioning Engineer
Actalent
Woodstock, ON
- Contract
…energization, and turnover of large-scale Battery Energy Storage System (BESS) facilities. This role offers significant field exposure and the opportunity to support the deployment of…
Added 4 months ago
MS
Forklift Operator / MHE Operator - Afternoon Shift
Metro Supply Chain
Calgary, Alberta
- Full-time
JOB TITLE: Material Handling Equipment Operator
Added 4 months ago
DG
Supervisor, Plant Operations and Maintenance
Dexterra Group
Toronto, Ontario
- Full-time
Valid Ontario second class stationary engineers certificate or Building operator certificate or trade license (Millwright, Electrician, Plumber or Steam fitter) or equivalent.
Added 2 months ago
S
Facility Operator
SECURE
Alida, SK
- Other
As Facility Operator, you are responsible for monitoring facility and blend operations and ensuring product quality in compliance with all safety standards and government regulations. This…

Cerebras Systems

Staff Software Engineer, GPU Inference

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Experience: 8+ years of software engineering experience, including substantial individual-contributor ownership of complex production systems.
Posting language: English
Posted: Jul 28, 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

8+ 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

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

You will design, build, and maintain the GPU inference stack, ensuring high performance and reliability for large-scale AI workloads. Additionally, you will establish operational practices for the GPU fleet, including deployment, monitoring, and performance tuning across distributed systems.

Requirements

Candidates must have 8+ years of software engineering experience with a strong background in C++, Python, and production-grade GPU inference systems. A bachelor's degree in a technical field or equivalent practical experience is required, along with deep expertise in performance optimization and distributed systems.

Skills

C++
Python
GPU Inference
vLLM
PyTorch
ROCm
Distributed Systems
Performance Optimization
Kubernetes
Linux
Machine Learning Systems
Latency Optimization
Debugging
CI/CD
Observability
Parallelism

Visa sponsorship

Not detected in the job text

Keywords

GPU Inference
C++
Python
vLLM
PyTorch
ROCm
Distributed Systems
Kubernetes
Linux
Performance Profiling
Latency
Throughput
Tensor Parallelism
KV-cache
Quantization
HIP
CI/CD
Observability
AI Infrastructure
Large Language Models
Multimodal Models
GEMM
Attention Kernels
RDMA
Firmware
Driver Development
Software Engineering
Scalability
Numerical Correctness
Benchmarking

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