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Added 1 min ago
Software Engineer II, Data Lakehouse
Braze
Toronto, ON
…creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our…
Added 1 min ago
Senior Software Engineer II, Data Lakehouse
Braze
Toronto, ON
…creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our…
Added 30 mins ago
CNC Machining Centre Programmer
Titan Trailers Industries Limited - UK
Tillsonburg, ON
Full-time
…pay. We have high-end equipment and we make a very high-end product. You’ll be proud when you are driving down the street and you see one of our trailers that YOU helped build. We offer a…
Added 30 mins ago
Co-op or Recent Graduates - CNC Programmers
Titan Trailers Industries Limited - UK
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Full-time
…pay. We have high-end equipment and we make a very high-end product. You’ll be proud when you are driving down the street and you see one of our trailers that YOU helped build. We offer a…
Added 30 mins ago
Principal Combat Systems Engineer
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Full-time
Babcock is an international defence company providing support and product solutions to enhance our customers’ defence capabilities and critical assets.
Added 30 mins ago
Engineering Manager, Okta Access Gateway
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$168,000 to $231,000 CAD / year
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…access and gateway infrastructure. You will partner closely with Product Management, Architecture, Security, and Quality teams to deliver high-throughput, mission-critical security software…
Added 31 mins ago
Senior Presales Engineer
ChapsVision
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Full-time
Nous recherchons un(e) Ingénieur(e) avant-vente (PreSales Engineer) afin de soutenir la croissance d’ArgonOS en Amérique du Nord.
Added 31 mins ago
Embedded Software Engineer
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$85,000 to $95,000 CAD / year
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Working full-time onsite in Ottawa, you will collaborate with software developers, test engineers, and product teams to design, implement, troubleshoot, and validate software features that…
Added 45 mins ago
Manufacturing and Design Engineer
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…teamwork at EM Dynamics is at the center of our drive towards growth and prosperity. The continuous development of quality is an ecosystem where every facet of the business is impacted by…
Added 46 mins ago
Software Engineer II
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Full-time
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at…
Added 46 mins ago
Cyber Security Engineer I
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TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at…
Added 1 hour ago
Senior QA Engineer
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Toronto, ON
We’re looking for our next Quality Assurance Engineer. Could It Be You?
Added 1 hour ago
Technology - Brokerage Engineering - Principal Software Engineer
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We’re looking for our next Principal Software Engineer. Could It Be You?
Added 3 hours ago
Lead Full Stack Developer
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Toronto, ON
Full-time
This Engineer is an expert professional with deep expertise or unique industry knowledge who uses in depth skill sets to contribute to development of company objectives and principles and…
Added 4 hours ago
Observability Specialist
Wave Mobile Money
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…rapidly year-on-year. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday…
Added 4 hours ago
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
Full-time
…inspiration and talent to develop with us as we pursue our ambitious growth…
Added 4 hours ago
Designer, Development (Service)
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Bolton, ON
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…inspiration and talent to develop with us as we pursue our ambitious growth…
Added 4 hours ago
Applications Engineer
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Bolton, ON
Full-time
…inspiration and talent to develop with us as we pursue our ambitious growth…
Added 4 hours ago
Product Development Engineer|
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Bolton, ON
Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 5 hours ago
Staff AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
Define AI strategy in collaboration with product leadership; translate business objectives into technical roadmaps, prioritization, and architectural decisions
Added 7 hours ago
RISE Mechanical Engineer at Intuitive
UCI-OC Alliance
Engineer, BC
Full-time
The RISE Engineer, Rotations at Intuitive Science and Engineering, completes 4 x six-month assignments across various functions and business units to complete a 2-year program. The program…
Added 8 hours ago
Software Chief Engineer
Kepler Communications Inc.
Canada
Full-time
The Software Leader/Chief Engineer is accountable for the technical integrity and coherence of Kepler's software across programs. You are responsible for the soundness of software…
Added 8 hours ago
Lead QA Engineer
Royal Bank of Canada
Toronto, ON
Full-time
The successful candidate will work closely with Emerging Payments development teams, architects, DevOps teams, Product Owners, and technology partners to improve engineering efficiency,…
Added 9 hours ago
Senior Cloud Security Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees’ career growth
Added 10 hours ago
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
Full-time
…inspiration and talent to develop with us as we pursue our ambitious growth…

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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