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Added 1 month ago
WC
(CAN) Manager, Facility Services
Walmart Canada
Dartmouth, NS
- Full-time
…increase efficiency, directing temperature adjustment, analyzing systems and load requirements to determine setback modes for energy reduction evaluating air flow and humidity needs…
Added 1 month ago
WC
(CAN) Manager, Facility Services
Walmart Canada
Surrey, BC
- Full-time
…increase efficiency, directing temperature adjustment, analyzing systems and load requirements to determine setback modes for energy reduction evaluating air flow and humidity needs…
Added 1 month ago
WC
(CAN) Manager, Facility Services
Walmart Canada
Burnaby, BC
- Full-time
…increase efficiency, directing temperature adjustment, analyzing systems and load requirements to determine setback modes for energy reduction evaluating air flow and humidity needs…
Added 1 month ago
WC
(CAN) Regional Manager, Facilities Services
Walmart Canada
North Vancouver, BC
- Full-time
…strategies for HVAC/R, electrical, plumbing, and critical power systems to optimize performance and reduce downtime. Oversees the execution of preventive and predictive maintenance…
Added 1 month ago
B
Senior Software Engineer I
Braze
Toronto, ON
- Full-time
…concept to production and improving our existing high-scale systems. You will be leveraging your past experiences, your skills, and a strong sense of teamwork to tackle the significant…
Added 1 month ago
Intermediate Biologist
WSP
Toronto, ON
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 month ago
Technical Sales Specialist - Process Systems & Software
Spartan Controls Ltd.
Edmonton, AB · AB · Grande Prairie, AB
We are recruiting for an experienced Technical Sales Specialist (TSS) to join our Process Systems & Software Team based in Edmonton or Grande Prairie. This role will leverage your in-depth…
Added 1 month ago
ME
R&D Mechanical Designer
MAD Elevator Inc
Mississauga, ON
- Up to $85,000 CAD / year
…of new products and initiatives (interiors, fixtures, shell systems, enclosures, brackets, structural components, and electromechanical assemblies) from concept through to production-ready…
Added 1 month ago
M
Technical Marketing & Partnerships Specialist
MistyWest
Vancouver, BC
- Full-time
MistyWest builds hard technology: connected devices, embedded AI and IoT systems for Mining, Logistics, Smart Infrastructure and HealthTech. Our engineers do remarkable work, but most of it…
Added 1 month ago
Manager, SaaS Solutions
The Government of Nova Scotia
Halifax, NS
We don’t just implement technology; we modernize outdated systems and reimagine processes. Our agile, data-driven approach ensures that digital services are both efficient and adaptable to…
Added 1 month ago
Mechanical Engineer
IREN
Vancouver, BC
Job Type: Full Time | Location: Vancouver, BC | Department: Engineering | Reporting to: VP of Engineering | Work Location Type: #hybrid
Added 1 month ago
H
Manager, Customer Success
Hive
Remote, Canada
- Full-time
- Remote
Collaborate with Product, Support, Onboarding, Engineering, Marketing, and Sales to ensure a seamless customer journey and continuous improvement loop.
Added 1 month ago
Senior Software Engineer I
Braze
Toronto, ON
…concept to production and improving our existing high-scale systems. You will be leveraging your past experiences, your skills, and a strong sense of teamwork to tackle the significant…
Added 1 month ago
Millwright
Latham, The Pool Company (Canada)
Brantford, ON
You will work on a variety of mechanical, hydraulic, pneumatic and automated production systems while contributing to preventive maintenance initiatives and continuous improvement projects.
Added 1 month ago
BR
Project Manager (Bilingual)
BRC Restoration Inc.
Burlington, ON
- Full-time
Alberici Constructors, Ltd. is part of Alberici Corporation, a $4-billion North American construction firm recently ranked 31st largest General Contractor in Engineering News Record.
Added 1 month ago
CS
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
5+ years of software engineering experience, including substantial individual-contributor ownership of production software or distributed systems.
Added 1 month ago
Lead Developer, Tools
2K
Quebec, QC
Proven experience leading a small engineering team, including code review, mentoring engineers as they ramp up on deep engine-level systems, and delivering value against a roadmap.
Added 1 month ago
Software Dev Engineer II, Vendor Funding
Amazon
Vancouver, BC
Are you excited about building autonomous AI systems that operate in high-stakes financial domains? Do you want to design multi-agent solutions where precision and trust are non-negotiable?…
Added 1 month ago
JH
Gestionnaire de Projet II - Project Manager II
Jubilant HollisterStier CMO
Montreal, QC
- $78,000 to $114,400 CAD / year
- Full-time
Added 1 month ago
B
General Repair Technician
BGIS
Moncton, NB
- Full-time
…facility including, but not limited to mechanical other supporting systems, performing structured inspections, preventative and corrective maintenance, routine and on-demand services on…
Added 1 month ago
EI
Quality Inspector / Coordinator
EBC Inc.
Toronto, ON · North York, ON
- Full-time
Conduct daily inspections of civil, structural, architectural, and building systems to verify conformance with drawings, specifications, and standards.
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
…technical depth with curiosity, sound judgment, product thinking, systems thinking, and a willingness to test new ideas. You will look beyond immediate symptoms, identify underlying needs,…
Added 1 month ago
-F
Geotechnical, Practice Lead
-30- Forensic Engineering
Toronto, ON
- Full-time
30 Forensic Engineering is one of Canada’s largest and most respected multi-disciplinary forensic firms. Our core team of over 100 professional investigators, engineering technicians, and…
Added 1 month ago
S
Electrical Designer
SearchLabs
Ottawa, ON · Greater Ottawa Metropolitan Area
- $60,000 to $90,000 CAD / year
- Full-time
Our client is a well-established Canadian consulting engineering firm with a strong reputation in building systems design and multidisciplinary engineering. Their teams work across a…
Added 1 month ago
E
Manager Physical Layer Downlink
Ericsson
Ottawa, ON
- Full-time
Accelerate AI-assisted engineering in planning, coding, verification, CI, and triage

Cerebras Systems

Staff Software Engineer, Inference API

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
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.

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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

Not detected in the job text

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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