Jobs in Canada

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Added 1 day ago
Director of Player Development
Penn Interactive
Calgary, AB
MUST HAVE: Passion for sports, casino and/or sports & casino betting
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Lead Sales Specialist - MarTech
StackAdapt
Canada
Independently source, qualify, and close net-new Marketing Technology opportunities, while partnering with AEs to accelerate strategic opportunities within existing accounts.
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Head of eCommerce, New Business Sales
StackAdapt
Canada
Proven Leadership in Net-New Sales: A successful track record of leading and scaling high-performing outbound B2B sales organizations with accountability for pipeline, forecasting, and…
Added 1 day ago
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.NET Application and Solutions Architect - Assistant Vice President
iCapital
Toronto, ON
- Full-time
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CS
AI Fleet Platform Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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CS
ML Runtime and Kernel Engineer - Core ML
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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CS
Software Engineer - Host and Network IO
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…system, and over the proprietary IOs onto the WSE. As a software developer on the team, you will interface between AI application-level IO teams, cluster architecture teams, and FPGA/ASIC…
Added 1 day ago
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Staff GPU Inference SDET
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Added 1 day ago
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Senior Staff AWS Platform Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Drive technical direction and cross-team initiatives that improve the scalability, reliability, security, and developer experience of our infrastructure.
Added 1 day ago
CS
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
Added 1 day ago
CS
Senior Backend Engineer, Inference Cloud
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…power Cerebras Inference Cloud. Your work will support the Developer Console and the broader backend systems that developers and enterprises rely on to access, manage, and operate inference…
Added 1 day ago
CS
Cluster Operations Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Added 1 day ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…execution engines, scheduling systems, test infrastructure, developer tools, and reusable software platforms that allow engineers to build, test, qualify, and deliver software reliably at…
Added 1 day ago
CS
Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
Added 1 day ago
CS
Senior SDET, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Experience building automation tools, testing frameworks, or internal developer tooling.
Added 1 day ago
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Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
Added 1 day ago
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Applied Machine Learning Research Scientist
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Added 1 day ago
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ML Systems Performance Engineer
Cerebras Systems
Canada
- Full-time
Added 1 day ago
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Staff Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
Added 1 day ago
CS
FPGA Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…system, and over the proprietary IOs onto the WSE. As an FPGA developer on the team, you will own the in-chassis IO subsystem consisting of i) several cluster-facing RoCE v2 network…
Added 1 day ago
Enterprise Account Executive - Federal
Appian Corporation
Ottawa, ON
…advisor, leveraging use cases from industry pioneers to land net-new logos and accelerate your career…
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Senior Regional Insurance Services LeaderEnvironmental Due Diligence & RemediationPinchin Prairies/Western Canada Region
Pinchin Canada
Calgary, AB
- Full-time
…portfolio. This position focuses on achieving regional Insurance Net Revenue targets as established under Pinchin’s Growth Plan, while ensuring consistent delivery quality, technical…
Added 1 day ago
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Legal Support Assistant
Gevurtz Menashe, PC
Legal, AB
- Full-time
Must have demonstrated experience with Microsoft Office Suite, including Word, Excel, Outlook, Teams
Added 1 day ago
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Administrative Assistant
Aker Solutions
Fort McMurray, AB
- Full-time
…committed to helping the energy industry #PowerTheChange towards a net-zero future. We are driven by collaboration and curiosity, building tomorrow’s technological solutions…
Added 1 day ago
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Senior Recruiter
Aker Solutions
St. John's, NL
- Full-time
At Aker Solutions we are changemakers with nearly 200 years of experience, committed to helping the energy industry #PowerTheChange towards a net-zero future.

Cerebras Systems

Staff Software Engineer, Inference Platform

Toronto, ON, Canada

On-site

Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: On-site
Experience: 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
Posting language: English
Posted: Jun 19, 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

We're hiring a Staff Engineer to help lead, drive, and contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with machine learning services. We are often the first team to face problems that haven't been solved yet, leading solutions across Kubernetes operators, service security policies, and CI/CD.

If you're interested in building the next-generation architecture of a globally distributed inference platform, we'd like to talk.

Responsibilities

Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization.
Raise the effectiveness of senior engineers through design feedback, pairing, and clear technical standards.
Platform Direction. Help shape the technical direction for the Inference Platform, Kubernetes custom resource definitions, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas.
Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand.
Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment.
Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor.
Technical Influence. Partner with ML, Product, Infrastructure, and Cloud teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces.

Skills & Qualifications

8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
Deep expertise in distributed systems architecture, ideally with Kubernetes.
Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale.
Experience with security (certificates, TLS, mTLS).
Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus.
Strong proficiency in backend or systems languages such as Go or C++, with the expectation that you can contribute production code directly.
Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations.
Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment, especially within your domain and adjacent systems.
Preferred Skills & Qualifications
Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.

Location: Sunnyvale or Toronto preferred

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

The Staff Software Engineer at Cerebras Systems will design, build and operate large-scale distributed inference infrastructure on Kubernetes. They will shape platform architecture, lead the hardest production issues, and set engineering standards through design and code reviews.

Requirements

Candidates need 8+ years of software engineering experience, deep distributed systems and Kubernetes expertise, and strong Go or C++ skills. Experience with TLS/mTLS, high-QPS latency optimization, and observability and SLO-driven operations is also required.

Skills

Kubernetes
Kubernetes operators
Go
C++
Distributed systems architecture
Cloud infrastructure
TLS
mTLS
Certificates
Service security policies
CI/CD
Observability
Metrics
Logging
Tracing
Alerting
Incident response
SLO-driven operations
Capacity planning
Latency optimization
Throughput optimization
TTFT reduction
High-availability system design
Model serving

Keywords

Kubernetes
distributed systems
inference platform
model serving
Go
C++
mTLS
TLS
observability
SLO
incident response
CI/CD
GPU
latency optimization
TTFT
cloud infrastructure
AI infrastructure
Kubernetes operators
service mesh
staff engineer

Seniority

Senior

Tools

Kubernetes
Go
C++

Languages

English

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Work requirements

Jobs in Canada