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EN
Principal Wireless SW Engineer
Extreme Networks
Toronto, ON
- Full-time
The Principal Wireless Software Engineer is a senior technical leader responsible for resolving the most complex and business-critical customer issues escalated through the Global Technical…
Added 10 days ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
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- Full-time
We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 10 days ago
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Flight Control Systems Engineer
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- Full-time
MANNARINO Systems & Software Inc. is a leader in providing safety-critical systems, software, hardware and certification engineering services to the aerospace, defense, space, simulation &…
Added 10 days ago
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Ingénierie - Conception des lois de commande de vol-Engineering -Flight Control Laws Design
Cyient
Montreal, QC
- $80,000 to $100,000 CAD / year
- Full-time
Support integration of CLAWS into various test rigs and supplier hardware (i.e. integrate into PFCC for Collins, Thales, NRC, CMC, etc)
Added 10 days ago
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Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We…
Added 10 days ago
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Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
A Love for Systems & Hardware: You aren’t just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster.
Added 10 days ago
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Software Engineer - GPU Networking & Distributed Systems
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We…
Added 10 days ago
A
Electronics Engineer
Actalent
Oakville, ON
- $40 to $50 CAD / hour
- Contract
We are seeking a hands-on Electronics Engineer to support the testing, troubleshooting, and development of electronic hardware and devices. In this role, you will work closely with a…
Added 10 days ago
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Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
A Love for Systems & Hardware: You aren’t just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster.
Added 10 days ago
SB
Network Engineer
Sharp Brains
Kincardine, ON
- Contract
We are currently seeking a skilled and reliable Network L1 Field Engineer to support onsite, dispatch-based IT and network infrastructure assignments in Kincardine, Ontario, Canada.
Added 10 days ago
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Staff PCIe Verification Engineer
Arm
Toronto, ON
- Full-time
Added 10 days ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 10 days ago
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AI DevOps Specialist (AI Enablement & Secure DevOps)
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Canada
- Contract
Operational Scope: Support across global Hardware Platform Solutions (HPS) Design Centers and secure testing labs (including the Hardware Platform Solutions (HPS) Innovation Lab and local…
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R&D Prototyping III / Prototypage R-D III
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Added 10 days ago
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Cyber Security Engineer
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IP Verification Engineer
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- Full-time
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Added 10 days ago
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Engineer - Software Support
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- Full-time
Responsible for creating and monitoring software and hardware component wise reliability metrics for each
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RF Test Engineer
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Ottawa, ON
- Full-time
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Added 10 days ago
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Principal Hardware Designer
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Ottawa, ON
- Full-time
The design team is seeking a Principal Hardware Designer for the development of optical transceivers. The candidate will be expected collaborate with a cross function product development…
Added 10 days ago
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Senior Mechanical Product Development Engineer / Manager
Bruin Instruments Corp.
AB · Edmonton, AB
- Full-time
Bruin Instruments is seeking an experienced Senior Mechanical Product Development Engineer to provide technical leadership and people management for full-time, permanent employment. The…
Added 10 days ago
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Design Engineering Manager, Integrated Automation & Control Solution
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…date, we are a trusted partner across the heavy industries. We engineer and assemble speed control equipment for a wide range of electric motor applications. In addition to VFD's, we also…
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Technical Support Specialist, Helpdesk
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…also carries out software deployment and patching, procures hardware, and maintains standards for all computing devices. The incumbent also provides support to the Technical Specialist,…
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Software Engineer - CMS 330
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In this role, the Software Engineer Plans, conducts, and coordinates software development activities. Designs, develops, documents, tests, and debugs software that contains logical and…
Added 10 days ago
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Hardware Engineer – Aerospace
CS GROUP
Montreal, QC
- Full-time
CS Group Canada is seeking a Hardware Engineer with strong experience in designing PCB boards for Aerospace. The successful candidate will contribute to the design, development,…
Added 10 days ago
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Hardware Engineer - Electrical
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Baseten

Software Engineer - GPU Networking & Distributed Systems

Toronto, ON, Canada

$165,000 to $330,000 CAD / year · Full-time

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Job details

Pay: $165,000 to $330,000 CAD / year
Job type: Full-time
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

About Baseten

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations.

Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed.

In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts.

Responsibilities

Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency.
Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models.
Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models.
Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency.
Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors.
Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer.

Requirements

You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement.
You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it.
You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues.
You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs.

NICE TO HAVE

Deep knowledge of NCCL, NVSHMEM, and UCX.
Experience with Rust for systems-level or performance-critical networking code is a strong plus
Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS.
Familiarity with TensorRT-LLM, vLLM, or SGLang.
Experience running low-level benchmarks to "qualify" new hardware clusters.

THE TEAM

Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks.
We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond.
High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration.

Benefits

Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation Range: $165K - $330K

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More about this job

Responsibilities

Integrate and optimize RDMA-based networking and communication layers for distributed inference, including disaggregated KV cache offload and Wide Expert Parallelism, while tuning performance across GPU interconnects. Validate next-generation GPU clusters, build networking observability and acceptance tests, and optimize communication libraries or kernels to improve throughput, latency, and model startup times.

Requirements

Candidates should have deep experience with high-performance networking protocols such as InfiniBand and RoCE v2, fluency in C++ or Python, and a strong understanding of modern NVIDIA GPU memory hierarchies. They should be comfortable debugging and optimizing across the software and hardware stack; experience with NCCL, NVSHMEM, UCX, Rust, GPUDirect Storage, high-performance filesystems, or inference frameworks is an advantage.

Skills

High-Performance Networking
InfiniBand
RoCE v2
C++
Python
GPU Networking
Distributed Systems
NVIDIA GPU Architecture
RDMA
NCCL
NVSHMEM
UCX
TensorRT-LLM
GPUDirect Storage
Performance Benchmarking
Distributed Inference

Benefits

Equity
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Paid Time Off
Company-Wide Winter Break
Paid Parental Leave
Fertility and Family-Building Stipend
401(k)

Visa sponsorship

Not detected in the job text

Keywords

GPU Networking
Distributed Systems
RDMA
RoCE v2
InfiniBand
C++
Python
Rust
NVIDIA H100
NVIDIA H200
NVIDIA Blackwell
NVLink
NCCL
NVSHMEM
UCX
TensorRT-LLM
vLLM
SGLang
GPUDirect Storage
Weka
3FS
Kubernetes Networking
Distributed Inference
Disaggregated KV Cache Offload
Wide Expert Parallelism
Mixture-of-Experts Models
Communication Kernels
Performance Benchmarking
GPU Memory Hierarchy
Network Observability

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