Jobs in Canada

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Added 1 month ago
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Senior Manager, Data Strategy & Data Products
Pelmorex
Oakville, ON
- Full-time
…generate and manage an unusually broad and valuable set of data: large-scale weather forecasts and observations, historical weather archives, consumer behavioural and location signals,…
Added 1 month ago
Manager of Data Engineering
Robinhood
Toronto, ON
This role is based in our Toronto, ON office(s), with in-person attendance expected 5 days per week
Added 1 month ago
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Senior Software Engineer I
Braze
Toronto, ON
- Full-time
We're looking for a Senior Software Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a…
Added 1 month ago
Mechanical Engineer
IREN
Vancouver, BC
Reporting to the VP, Engineering, the Mechanical Engineer will support mechanical engineering efforts for current and future site development, including the design, construction,…
Added 1 month ago
Senior Software Engineer I
Braze
Toronto, ON
We're looking for a Senior Software Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a…
Added 1 month ago
CS
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference…
Added 1 month ago
Software Dev Engineer II, Vendor Funding
Amazon
Vancouver, BC
…infrastructure to build autonomous systems that process real financial data in…
Added 1 month ago
H(
Senior Cloud Security Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
…future for the healthcare community. As a Senior Cloud Security Engineer, you will have the opportunity to influence technical decisions, challenge existing approaches, and help shape the…
Added 1 month ago
CC
Engineer in Training (EIT) - Paris, ON
CRH Canada
Paris, ON
- Full-time
Position Title: Engineer in Training (EIT) - Paris, ON
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Ingénieur(e) senior avant-vente
ChapsVision
Montreal, QC
- Full-time
Nous recherchons un(e) Ingénieur(e) avant-vente (PreSales Engineer) afin de soutenir la croissance d’ArgonOS en Amérique du Nord.
Added 1 month ago
Senior Mechanical Design Engineer
Engineered Arts
Montreal, QC
We’re looking for a multi-talented Senior Mechanical Design Engineer to join our small, highly skilled team in building the future of human-robot interaction.
Added 1 month ago
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Electrical Engineer
Worley
Calgary, AB
- Full-time
assist with the preparation of detailed designs and drawings, specifications, data, calculations and reports
Added 1 month ago
W
Electrical Engineer
Worley
AB · Edmonton, AB
- Full-time
assist with the preparation of detailed designs and drawings, specifications, data, calculations and reports
Added 1 month ago
W
Electrical Engineer
Worley
Vancouver, BC
- Full-time
assist with the preparation of detailed designs and drawings, specifications, data, calculations and reports
Added 1 month ago
AM
AI Platform Engineering Lead
AGF Management
Toronto, ON
- Full-time
…technical teams to connect AI workloads to governed enterprise data, ensuring every deployed agent and model is identified, permissioned, monitored, and auditable. Platform scope include…
Added 1 month ago
AM
Forward Deployed AI Engineer
AGF Management
Toronto, ON
- Full-time
The Forward Deployed AI Engineer is a hands-on technical expert responsible for partnering directly with business stakeholders to identify opportunities, design solutions, and build…
Added 1 month ago
Senior Software Engineer I, Email
Braze
Toronto, ON
We’re looking for a Senior Software Engineer to join our Email team, which is responsible for building and maintaining the core infrastructure that delivers billions of personalized emails…
Added 1 month ago
Quality Engineer - Corrective Action Requests / Demandes d'actions correctives
Capgemini
Montreal, QC
Added 1 month ago
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Future Opportunities - Engineering Leadership (Staff/Principal)
Neo Financial
Calgary, AB
- Full-time
…area, not just the parts that interest you. You're the kind of engineer who shapes how a system is built, not just someone who contributes to…
Added 1 month ago
C
Senior Presales Engineer
ChapsVision
Montreal, QC
- Full-time
ChapsVision is a global leader in Agentic AI and data solutions, helping organizations transform how they access, understand, and act on information. As organizations move toward an agentic…
Added 1 month ago
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Sr Optical Firmware Integration Engineer
Nokia
Ottawa, ON
- Full-time
Added 1 month ago
B
Senior Software Engineer I, Email
Braze
Toronto, ON
- Full-time
We’re looking for a Senior Software Engineer to join our Email team, which is responsible for building and maintaining the core infrastructure that delivers billions of personalized emails…
Added 1 month ago
M
Senior Mobile Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Senior Mobile Software Engineer within our US Retirement technology organization, you will design, build, and deliver high-quality mobile and backend solutions for our Retirement…
Added 1 month ago
T
Senior Software Development Engineer in Test
Trackforce
Montreal, QC
- Full-time
Trackforce is seeking an experienced and driven Senior Software Development Engineer in Test (Sr. SDET) to join our Engineering team. In this senior individual contributor role, you will be…
Added 1 month ago
P
Senior Manager, Data Products
Pelmorex
Oakville, ON
- Full-time
We are seeking a Senior Manager, Data Products to execute and grow Pelmorex's data business: the audience, attribution, and distribution products we sell to agencies, brands, and partners,…

Cerebras Systems

Staff Software Engineer, Inference API

Remote, Canada

Remote

Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: 5+ years of software engineering experience, including substantial individual-contributor ownership of production software or distributed systems.
Posting language: English
Posted: Sep 23, 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 build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference APIs, model integration layer, request-routing services and Cerebras inference platform to deliver a consistent experience across models and accelerator backends.

This role sits at the intersection of machine learning systems, API design, model serving, and distributed systems. You will enable new model architectures and inference capabilities, define stable user-facing behavior, and ensure that features such as streaming, sampling, tool use, structured outputs, multimodal inputs, and model configuration behave correctly and consistently in production.

You will work closely with model enablement, compiler, runtime, cloud infrastructure, product, customer-facing teams, and customers directly. This is a hands-on software engineering role for someone who enjoys turning rapidly evolving ML capabilities into durable, production-quality APIs.

Responsibilities

Build production ML inference APIs. Design, implement, and maintain APIs for chat completions, text generation, streaming, model configuration, tool calling, structured outputs, multimodal inputs, and other emerging inference capabilities.
Deliver a unified serving experience. Create consistent request and response semantics across GPU prefill, Cerebras decode, and other heterogeneous inference backends.
Enable new models and capabilities. Integrate emerging foundation models, tokenizers, prompt formats, sampling methods, attention variants, multimodal inputs, and model-specific features into the serving platform.
Own API compatibility and evolution. Maintain compatibility with widely adopted inference interfaces while designing Cerebras-specific extensions. Establish clear versioning, deprecation, validation, and backward compatibility practices.
Integrate with model-serving runtimes. Extend and integrate custom inference services with vLLM, PyTorch, Hugging Face libraries, the AMD ROCm stack, and Cerebras runtime components.
Support disaggregated inference. Build the control and data paths required to coordinate GPU prefill with Cerebras decode, including request routing, state transfer, error handling, retries, and lifecycle management.
Improve serving performance. Optimize streaming behavior, time to first token, request latency, throughput, batching, serialization, tokenization, scheduling, and communication between serving components.
Ensure functional and numerical correctness. Build validation systems for tokenization, sampling, logits, generated outputs, precision changes, model upgrades, determinism, and compatibility across serving backends.
Strengthen reliability and observability. Define end-to-end service indicators and build structured logging, tracing, metrics, dashboards, health checks, and diagnostic tooling for production inference traffic.
Develop testing and qualification infrastructure. Create conformance tests, workload-replay tools, model-validation suites, performance benchmarks, integration tests, and release gates.
Improve developer experience. Build intuitive configuration, SDKs, documentation, examples, debugging tools, and self-service workflows for internal developers, customers, and partners.
Collaborate across the stack. Partner with compiler, runtime, kernel, cloud, product, and solutions teams to translate model and customer requirements into scalable serving capabilities.

Minimum Qualifications

5+ years of software engineering experience, including substantial individual-contributor ownership of production software or distributed systems.
Strong programming ability in Python and Go plus experience developing performance-sensitive or highly concurrent services in C++, Rust, or a similar systems language.
Experience building stable APIs with clear validation, error handling, observability, compatibility, and versioning practices.

Experience integrating software across service, framework, runtime, and infrastructure boundaries.
Experience designing or maintaining OpenAI-compatible, gRPC, REST, or streaming inference APIs.
Experience with Linux, containers, Kubernetes or comparable orchestration systems, CI/CD, and operating latency-sensitive services in production.
Ability to diagnose correctness, reliability, and performance issues across multiple components of a distributed serving system.
Strong communication and cross-functional execution skills, with the ability to turn ambiguous model or product requirements into production-quality software.
Bachelor's degree in computer science, Computer Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience.

Preferred Qualifications

Experience modifying or contributing to vLLM, SGLang, PyTorch, Hugging Face Transformers, Triton, TensorRT-LLM, or another open-source ML systems project.
Experience creating API conformance, model-quality, numerical-comparison, determinism, or performance-regression test systems
Experience building SDKs, developer tools, model registries, configuration systems, or self-service ML platforms.
Experience with multi-model or multi-tenant inference platforms, including routing, admission control, fairness, quotas, rate limiting, and capacity-aware scheduling
Understanding of model-specific tokenization, chat templates, generation configuration, logits processing, stopping criteria, tool calling, structured generation, and constrained decoding.
Experience with disaggregated prefill/decode architectures, KV-cache transfer, prefix caching, chunked prefill, memory-aware admission control, or request scheduling.
Experience designing, building, or operating production APIs and services for machine learning, large language models, or other data-intensive applications.
Familiarity with reduced-precision inference and quantization formats such as BF16, FP8, FP4, INT8, or INT4.

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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

Build and maintain production inference APIs and serving systems, integrating models and coordinating GPU prefill with Cerebras decode across heterogeneous backends. Improve performance, correctness, reliability, testing, observability, and developer experience while collaborating across engineering, product, and customer-facing teams.

Requirements

Requires at least five years of software engineering experience, strong Python and Go skills, and experience with production APIs, distributed systems, and service integration. Candidates should also have experience with Linux, containers, orchestration, CI/CD, and production operations, plus a bachelor's degree in a relevant discipline or equivalent practical experience.

Skills

Python
Go
C++
Rust
API Design
Distributed Systems
Machine Learning Inference
Model Serving
Kubernetes
Linux
Streaming APIs
Performance Optimization
Observability
vLLM
PyTorch
Hugging Face Transformers

Visa sponsorship

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Keywords

Python
Go
C++
Rust
Cerebras Wafer-Scale Engine
GPU
Inference APIs
Distributed Systems
Model Serving
OpenAI-Compatible APIs
REST
gRPC
Streaming
vLLM
PyTorch
Hugging Face Transformers
AMD ROCm
Kubernetes
Linux
Containers
CI/CD
Disaggregated Inference
KV-Cache Transfer
Tokenization
Structured Outputs
Multimodal Inputs
Observability
Performance Benchmarking
Quantization
FP8

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Jobs in Canada