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Added 1 min ago
Sr. Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Sr. Software Development Engineer to lead the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects,…
Added 1 min ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and operations office, you will design, implement, and support enterprise data architecture…
Added 13 mins ago
Data Engineer II - CPB Data Curation
TD
Toronto, ON
Full-time
Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products.
Added 13 mins ago
Senior Product Manager, PolicyCenter
Guidewire Software
Canada
Full-time
…with the Head of Policy and Billing, the Product Management Lead for Policy, and a Principal PM focused on AI/agentic capabilities - to deliver the next generation of policy administration…
Added 13 mins ago
Tech Lead - Software Engineering
DataVisor
Calgary, AB
$130,000 to $170,000 CAD / year
Full-time
2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
Added 13 mins ago
Software Technical Leader
Cisco
Fredericton, NB
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 13 mins ago
Software Technical Leader
Cisco
Halifax, NS
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 15 mins ago
Tech Lead - Software Engineering
DataVisor
Vancouver, BC
$130,000 to $170,000 CAD / year
Full-time
2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
Added 15 mins ago
Software Technical Leader
Cisco
Mississauga, ON
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 15 mins ago
Tech Lead - Software Engineering
DataVisor
Toronto, ON
$130,000 to $170,000 CAD / year
Full-time
2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
Added 31 mins ago
Principal AI/ML Engineer
Vanguard
Toronto, ON
Full-time
As a Principal AI Engineer, you will serve as a senior technical leader responsible for transforming state-of-the-art AI research into scalable, production-ready capabilities that create…
Added 31 mins ago
Data Engineer II - CPB Data Curation
TD
Toronto, ON
Full-time
Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products.
Added 31 mins ago
Senior Backend Engineer
Woodbine Entertainment
Toronto, ON · Woodbine HQ
Full-time
Working closely with business stakeholders, vendors, and technology teams, the Lead Platform Engineer drives service reliability, security, compliance, automation, and continuous…
Added 45 mins ago
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
Full-time
Influence cross‑functional roadmaps, lead complex release planning, and drive strategic platform initiatives across CI&PE; serve as an escalation point and participate in the L3 on‑call…
Added 46 mins ago
Data Integration Engineer
Prophix
Remote, Canada
Full-time · Remote
…confidence through Prophix One™, our Financial Performance Platform. We bring planning, reporting, and automation together so people can focus on higher-value work instead of repetitive…
Added 46 mins ago
Software Engineer II
Braze
Toronto, ON
We’re looking for a Software Engineer II to join our WhatsApp team. Our team is responsible for building, scaling, and expanding Braze’s suite of global messaging channels including…
Added 59 mins ago
Senior Backend Engineer
Apollo.io
Canada
Full-time
…with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process,…
Added 59 mins ago
Cybersecurity Engineer - Data and AI Security
lululemon
Vancouver, BC
Full-time
The Cybersecurity Engineer, Data Security, focuses on the operational execution of DSPM and DLP capabilities, including platform tuning and validation, completing analysis to generate…
Added 1 hour ago
Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
Full-time
…confidence through Prophix One™, our Financial Performance Platform. We bring planning, reporting, and automation together so people can focus on higher-value work instead of repetitive…
Added 1 hour ago
Software Engineer II
Braze
Toronto, ON
Full-time
We’re looking for a Software Engineer II to join our WhatsApp team. Our team is responsible for building, scaling, and expanding Braze’s suite of global messaging channels including…
Added 1 hour ago
Hardware Engineering - Sr. Mechanical Engineer - P4 - SY275 - R
OSI Maritime Systems
Burnaby, BC
The Senior Mechanical Engineer is part of the engineering team that develops marine navigation and bridge systems for OSI’s government and naval markets that offer market leading…
Added 1 hour ago
AI Platform Engineering Lead
AGF Investments
Toronto, ON
Full-time
The AI Platform Engineering Lead is the senior technical authority for how AI is built at AGF. Reporting to the VP, Technology Services, the role defines the blueprints that AI solutions…
Added 1 hour ago
R_1508495 Software Engineer III (Salesforce Loyalty Management Technical Lead)
TD
Toronto, ON
Full-time
The Software Engineer III (Salesforce Loyalty Management Technical Lead) leads the creation of comprehensive end-to-end detailed solutions for projects and platforms with overall…
Added 1 hour ago
Software Engineer II (Salesforce Loyalty Management Developer)
TD
Toronto, ON
Full-time
The Software Engineer II (Salesforce Loyalty Management Developer)
Added 1 hour ago
Consultant, Application Developer (Data Engineer)
CIBC
Toronto, ON
Full-time
…back-end systems. As the Consultant, Application Developer (Data Engineer), you’ll exercise significant judgement and autonomy, own key technical decisions, lead impact analysis and design…

Cerebras

Software Engineer - Host and Network IO

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 10, 2026
Experience: Master's/PhD in Computer Science or Electrical Engineering + 1 year industry experience, OR 3+ years industry experience.
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

The Host and Network IO Team develops the full IO path implementation between a distributed system of server nodes, through the cluster, down to the custom RoCE network stack implemented in Cerebras' 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 teams to develop solutions that optimize bandwidth and latency while minimizing congestion, pauses, pause spreading, unfairness, etc. Strong skills in socket programming will enable you to deploy robust management operations, while deftness in RDMA Verbs will enable you to optimize CPU resources and shape network traffic to deliver real world impact on AI performance metrics, as well as developing tools for gaining insight and visibility into network behavior. Meticulous analysis and rigour are key tenants of this role, harnessing that together with a deeply-understood mental model of the server, NIC, protocol, switch, and custom hardware behavior will enable you to lead network debug, optimize traffic patterns, and prescribe architectural changes.

Responsibilities

Develop x86 & ARM software to expose next-generation hardware IO capabilities for AI/HPC application teams
Govern a generic IO API with multiple internal users.
Develop control and configuration subsystems directly interacting with Cerebras hardware
Drive network performance debug of large AI clusters
Gather and analyze network statistics and packet traces to root cause and alleviate bottlenecks and sub-optimalities.
Develop tools/telemetry for increasing visibility into the network and IO datapath.
Optimize cpu/mem utilization leveraging kernel bypass and zero-copy techniques
Integrate leading edge networking technologies and protocols
Lead cross-functional technical projects spanning multiple teams and integrating diverse software and hardware components to deliver an improved network IO solution.
Foster clear and effective communication across teams and stakeholders.

Skills & Qualifications

Master's/PhD in Computer Science or Electrical Engineering + 1 year industry experience, OR 3+ years industry experience.
Experience in large software environments.
Embedded systems, HW/SW co-design, and some driver development.
Network protocol familiarity (TCP, RoCE) and network debug tools such as Wireshark, or willingness to learn
Some network switch environment familiarity or willingness to learn (Arista, Juniper, etc.).
Detail-oriented but keen to learn the bigger picture and step out of comfort zone to embrace the unknown.

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.

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

Develop and maintain software and APIs that expose hardware I/O capabilities, configure Cerebras systems, and optimize network performance across large AI clusters. Analyze network statistics and packet traces, build visibility tools, and lead cross-functional efforts to improve network I/O solutions.

Requirements

Requires a master's or PhD in Computer Science or Electrical Engineering plus at least one year of industry experience, or at least three years of industry experience. Candidates should have experience in large software environments, embedded systems, hardware/software co-design, and some driver development, along with familiarity with TCP, RoCE, and network debugging tools or a willingness to learn.

Skills

Socket Programming
RDMA Verbs
TCP
RoCE
Network Debugging
Embedded Systems
Hardware/Software Co-Design
Driver Development
C/C++
Network Performance Optimization
Kernel Bypass
Zero-Copy Techniques
Packet Trace Analysis
Telemetry Development
Cross-Functional Project Leadership

Visa sponsorship

Not detected in the job text

Keywords

AI
High-Performance Computing
Host and Network I/O
Distributed Systems
x86
ARM
Socket Programming
RDMA Verbs
TCP
RoCE
Network Protocols
Network Switches
Arista
Juniper
Wireshark
Embedded Systems
Hardware/Software Co-Design
Driver Development
FPGA
ASIC
Kernel Bypass
Zero-Copy
Network Telemetry
Packet Traces
Bandwidth Optimization
Latency Optimization
CPU and Memory Optimization
Cerebras Wafer-Scale Engine
Cluster Networking

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