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Added 16 hours ago
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 17 hours ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 17 hours ago
B
Software Engineer - Infrastructure
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 17 hours ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Bachelor's degree or higher in Computer Science or related field
Added 17 hours ago
B
Software Engineer - Dedicated Inference
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 17 hours ago
B
Cloud Platform Engineer
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating…
Added 17 hours ago
B
Software Engineer - Infrastructure
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 17 hours ago
B
Software Engineer - Dedicated Inference
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 17 hours ago
B
Forward Deployed Engineer
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own…
Added 17 hours ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 17 hours ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
Bachelor's degree or higher in Computer Science or related field
Added 18 hours ago
T
Quality Assurance Engineer
Trulioo
Vancouver, BC
- Full-time
…full-time, permanent employees, including health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education & training stipend…
Added 20 hours ago
C
Routing/IP Software Engineer - New Grad
Ciena
Ottawa, ON
- Full-time
Education: Bachelor's degree in Engineering, Computer Science or equivalent.
Added 20 hours ago
X
Senior Software Engineer
Xsolla
Canada
- Full-time
You're a hands-on mobile engineer with 4+ years of experience, primarily in React Native across iOS and Android, who's ready to step into (or continue in) a tech lead role. You've shipped…
Added 20 hours ago
M
Senior CyberArk Security Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We are looking for an experienced Senior CyberArk Security Engineer to join our global Privileged Access Management (PAM) Engineering team and help strengthen the security, automation,…
Added 21 hours ago
AE
Campus Graduate Full-Time Engineer - 2027 AI Engineering, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- $82,000 to $124,000 USD / year
- Full-time
American Express is seeking innovative and motivated graduates to join Enterprise Technology Services as an AI Engineer I focused on AI Security Research. In this full-time role, you will…
Added 21 hours ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
…products, our culture, and our relationship with our community. Our vision is to reduce preventable deaths and injuries in and around fleet vehicles with a goal of ZERO…
Added 21 hours ago
KC
Lead (Chief) Satellite Systems Engineer
Kepler Communications Inc.
Toronto, ON
- Full-time
Comprehensive coverage for health, dental, and vision insurance - including dependents.
Added 21 hours ago
CG
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 21 hours ago
AC
Data Engineer
Amphenol Communications Solutions
Markham, ON
- Full-time
We are seeking a Data Engineer with strong hands-on engineering and software development capabilities to build, integrate, and operate the enterprise data platform. The role will develop…
Added 21 hours ago
OP
Associate Software Engineer - Full Stack
Ontario Power Generation
Oshawa, ON
- Full-time
Education Level: Four-year university education in Computer Science, Software Engineering or a related field.
Added 21 hours ago
ML
IT Security Consultant
Maple Leaf Foods Inc.
Mississauga, ON
- $96,000 to $141,000 CAD / year
- Full-time
Championing diversity and inclusion is a critical component to advancing our collective purpose and vision and living the Maple Leaf Leadership Values. We believe in building, investing in,…
Added 21 hours ago
ML
Automation Engineer (Night Shift)
Maple Leaf Foods Inc.
London, ON
- $71,000 to $103,000 CAD / year
- Full-time
Championing diversity and inclusion is a critical component to advancing our collective purpose and vision and living the Maple Leaf Leadership Values. We believe in building, investing in,…
Added 21 hours ago
ML
Reliability Engineer
Maple Leaf Foods Inc.
Hamilton, ON · Hannon, Ontario
- $71,000 to $103,000 CAD / year
- Full-time
Championing diversity and inclusion is a critical component to advancing our collective purpose and vision and living the Maple Leaf Leadership Values. We believe in building, investing in,…
Added 21 hours ago
AC
Power BI Specialist
Amphenol Communications Solutions
Markham, ON
- Full-time
…agreed standards and collaborate with the Data and Modeling Engineer on shared calculations and model changes. Reconcile results with source systems and business control totals, investigate…

Baseten

Software Engineer - GPU Networking & Distributed Systems

Montreal, QC, Canada

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

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Job details

Pay: $165,000 to $330,000 USD / 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 for distributed inference, including disaggregated KV cache offload and Wide Expert Parallelism, while tuning communication across NVLink and InfiniBand. Validate performance on advanced GPU clusters, build networking observability and acceptance tests, and optimize communication libraries or custom 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 systems across the software and hardware stack; experience with NCCL, NVSHMEM, UCX, Rust, GPUDirect Storage, high-performance filesystems, or inference frameworks is an advantage.

Skills

RDMA
InfiniBand
RoCE v2
C++
Python
GPU Networking
Distributed Systems
NCCL
NVSHMEM
UCX
TensorRT-LLM
GPU Memory Hierarchy
Distributed Inference
Performance Benchmarking
GPUDirect Storage
Rust

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

RDMA
RoCE v2
InfiniBand
GPU Networking
Distributed Systems
Distributed Inference
Disaggregated KV Cache Offload
Wide Expert Parallelism
NVLink
NCCL
NVSHMEM
UCX
C++
Python
Rust
TensorRT-LLM
vLLM
SGLang
GPUDirect Storage
Weka
3FS
H100
H200
Blackwell
B200
B300
GB200 NVL72
GPU Communication Kernels
High-Performance Benchmarking
Kubernetes Networking

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