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Added 6 mins ago
Manager, Engineering – Accounts
TD
Toronto, ON
Full-time
Investment Management, Retail Wealth is seeking an experienced and highly motivated Engineering Manager, to lead Account Pods enabling the next generation Investment platform and enhancing…
Added 22 mins ago
Senior Manager, Engineering & Build
Royal Bank of Canada
Toronto, ON
Full-time
Application Development, Application Integrations, Application Maintenance, Applications Architecture, Big Data Management, Cloud Computing, Commercial Acumen, Data Warehousing (DW),…
Added 1 hour ago
Développeur.se de logiciels sénior.e - Plate-forme de capture multimodale / Senior Software Developer - Multimodal Capture Platform
Electronic Arts (EA)
Vancouver, BC
Full-time
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Added 1 hour ago
Développeur.se de logiciels sénior.e - Intégration du jeu et fiabilité de la capture / Senior Software Developer - Game Integration & Capture Reliability
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Full-time
As a Senior Software Engineer, you will integrate EA's shared game-data capture technology into production game codebases and establish the systems that make instrumented title builds…
Added 1 hour ago
Développeur.se de logiciels sénior.e - Plate-forme de capture multimodale / Senior Software Developer - Multimodal Capture Platform
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Full-time
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Added 1 hour ago
Software Engineer III
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Full-time
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Added 1 hour ago
Développeur.se de logiciels sénior.e - Intégration du jeu et fiabilité de la capture / Senior Software Developer - Game Integration & Capture Reliability
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Full-time
As a Senior Software Engineer, you will integrate EA's shared game-data capture technology into production game codebases and establish the systems that make instrumented title builds…
Added 1 hour ago
Directeur.trice technique - Capture de données de jeu / Technical Director - Game Data Capture
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Full-time
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Added 1 hour ago
Senior Design Electrical Engineer
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Added 1 hour ago
Worldwide Sales Cloud & AI Global Lead
Microsoft
Toronto, ON
Full-time
The Microsoft Cloud is the most comprehensive and trusted cloud platform in the industry – spanning cutting-edge solutions in Security, Workplace AI, AI Business Process, and Azure. In…
Added 2 hours ago
Manager, Engineering – Accounts
TD
Toronto, ON
Full-time
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Added 2 hours ago
Enhesa Product Architect
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Configure EHS and ESG platform modules - including ESG & Sustainability Management, Waste Management, Audit Management, Management of Change (MOC), Training Management, Compliance Tracking,…
Added 2 hours ago
AWS Data Engineer
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Lead the design, development, and enhancement of cloud-native data engineering frameworks on AWS.
Added 2 hours ago
Customer Retention Specialist
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Toronto, ON
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Added 2 hours ago
Retention Specialist
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Full-time
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Added 2 hours ago
Lead | Collaboration and Communications
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Kelowna, BC
Full-time
…Microsoft 365 ecosystem continues to expand, we are looking for a Lead who can bring strong technical and product ownership expertise while also providing day-to-day leadership and support…
Added 2 hours ago
Staff Product Manager, AI Agents & Intelligence
commonsku
Remote, Canada
$150,000 to $180,000 CAD / year
Full-time · Remote
Lead the agent platform end-to-end: Take full ownership of Skubot (our in-app agent), the action/capability catalog, agent permissions, and the public MCP surface.
Added 3 hours ago
Director, AI Innovation Enablement (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
Full-time
Monitor global AI trends and translate research insights into strategic recommendations for capability development.
Added 3 hours ago
Senior Director, AI and Data & Integration Platforms
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Mississauga, ON
Full-time
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Added 3 hours ago
SDR
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Added 3 hours ago
RVP, Sales - Data Foundation - Public Sector
Salesforce
ON
Full-time
Key responsibilities include promoting the value of Salesforce Agentforce for AI-driven automation and the Core Platform for CRM efficiency, while advancing Customer 360 (C360) solutions…
Added 4 hours ago
Hardware & IoT Lead
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Calgary, AB
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Added 4 hours ago
Senior Software Developer (ID#5541)
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Vancouver, BC · Greater Vancouver, BC
Contract
The Senior Software Developer will lead technical design activities, modernize existing .NET applications, develop new enterprise solutions, and build scalable, secure, and maintainable…
Added 4 hours ago
Account Executive - Greenfield
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Toronto, ON
Full-time
Lead business justification readouts and executive presentations that connect CoreWeave's platform to measurable infrastructure and model development outcomes
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Manager, Network Service Delivery
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Lead lifecycle planning activities for network hardware/software initiatives.

Cerebras

Sr. Staff Software Engineer, Inference Platform

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 1, 2026
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: Sep 23, 2026

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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

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.

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More about this job

Responsibilities

Design, build, and operate the inference platform, including its Kubernetes orchestration layer, while shaping architecture, technical roadmaps, reliability, performance, and security. Lead critical production work and incidents, set engineering standards, and align with ML, Product, Infrastructure, and Cloud teams on scalable system designs.

Requirements

Requires 8+ years of software engineering experience, substantial hands-on work with large-scale distributed systems or cloud infrastructure, and deep expertise in distributed architecture, ideally with Kubernetes. Candidates should be proficient in Go or C++, experienced with highly available and latency-sensitive systems, security, observability, and SLO-driven operations; ML inference or GPU workload experience is preferred.

Skills

Distributed Systems
Kubernetes
Cloud Infrastructure
Go
C++
High Availability
Latency Optimization
Throughput Optimization
TLS
Mutual TLS
Observability
Reliability Engineering
Incident Response
Service Security
Machine Learning Inference
Model Serving

Visa sponsorship

Not detected in the job text

Keywords

Inference Platform
Distributed Systems
Kubernetes
Kubernetes Operators
Custom Resource Definitions
Cloud Infrastructure
Go
C++
Active-Active Systems
Failover
Graceful Degradation
Service Security Policies
Certificates
TLS
Mutual TLS
High-QPS Systems
Time To First Token
Tail Latency
Observability
Metrics
Logging
Tracing
Alerting
SLOs
Incident Response
Capacity Planning
CI/CD
Machine Learning Inference
Model Serving
GPU-Accelerated Workloads

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