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Added 2 months ago
Sr. Software Engineer (Hardware)
Dialpad
Vancouver, BC
As a Software Engineer, you’ll be responsible for developing and maintaining features to enhance customers’ day-to-day communication experience. You’ll work closely with customers and…
Added 2 months ago
J
Senior Software Engineer, Applied AI (Netherlands)
Justworks
Toronto, ON
- €143,000 to €184,000 EUR / year
We are seeking a Senior Software Engineer with a strong passion for building AI-native systems in a product environment. The ideal candidate will be able to take ownership of large segments…
Added 2 months ago
Senior Software Engineer, Applied AI (Spain)
Justworks
Toronto, ON
We are seeking a Senior Software Engineer with a strong passion for building AI-native systems in a product environment. The ideal candidate will be able to take ownership of large segments…
Added 2 months ago
AM
SoC DFX Scan / ATPG Engineer
Advanced Micro Devices, Inc
Ottawa, ON
- Full-time
You are a motivated engineer with a strong understanding of DFT fundamentals and ASIC design flows. You enjoy solving complex technical challenges, applying strong analytical and debugging…
Added 2 months ago
Q
Engineer
Qualcomm
Markham, ON
- Full-time
QCT's DSP Physical Design Team is seeking motivated and talented Physical Design Engineer to join our growing team in Markham, Canada. In this role, you will contribute to the…
Added 2 months ago
Q
Senior ASIC Implementation Engineer, Low Power AI
Qualcomm
Markham, ON
- Full-time
We are looking for an ASIC Implementation Engineer to be part of our team to innovate and design complex leading, ultra-low power, solutions for audio and context aware applications. We are…
Added 2 months ago
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Full Stack Software Engineer
Gumloop
Vancouver, BC
- Full-time
We're looking for an experienced Full Stack Engineer to ship product at the highest level. You'll own features end-to-end - design, build, test, deploy, and operate them in production. This…
Added 1 month ago
Physical Design Methodology Engineer, AI HW IP
Tenstorrent
Toronto, ON
A physical design or CAD methodology engineer who has built flows that production teams depend on daily.
Added 3 months ago
M
Applied AI, Forward Deployed Machine Learning Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 3 months ago
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Forward Deployed Engineer
Baseten
Montreal, Quebec
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 3 months ago
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Product Engineer - Dedicated Inference
Baseten
Montreal, Quebec
- $165,000 to $330,000 USD / year
- Full-time
As a Product 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…
Added 3 months ago
B
Software Engineer - Infrastructure
Baseten
Montreal, Quebec
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 3 months ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, Quebec
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 3 months ago
M
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 3 months ago
O
Senior Machine Learning Engineer in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
Director/ Senior Machine Learning Engineer in Medical Imaging
Added 3 months ago
O
Senior DevOps Engineer, for AI-based Systems
Oncoustics
Toronto, Ontario
- Full-time
…pharmaceutical players. We are looking to hire a Senior DevOps Engineer to join our team and improve our ML development pipeline and processes. A successful candidate may either be an…
Added 3 months ago
O
Data Scientist/Machine Learning Scientist in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…pharmaceutical players. We are looking to hire an experienced ML Engineer/Data Scientist to join our team with relevant academic experience and industry experience. A successful candidate…
Added 2 months ago
TA
Lead AI Engineer
Tiger Analytics Inc.
Remote, Canada
- Remote
Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role…
Added 2 months ago
HT
Embedded Engineer – AI System Architecture
Huawei Technologies Canada Co., Ltd.
Edmonton, AB
- Contract
Huawei Canada has an immediate 12-month contract opening for an Embedded Engineer.
Added 2 months ago
T
Data Engineer
Thales
Ottawa, ON
- Full-time
Thales is looking for a Data Engineer who will be involved in the data engineering activities in support of projects that contribute to naval platforms in-service support programs.
Added 3 months ago
E
Senior Machine Learning Engineer
EvenUp
Toronto, Ontario
- $196,000 to $265,000 USD / year
- Full-time
We're looking for a Senior Machine Learning Engineer to help build the models and systems powering Piai™, our proprietary claims-intelligence platform. You'll work across the ML stack -…
Added 3 months ago
E
Staff Machine Learning Engineer
EvenUp
Toronto, Ontario
- $212,000 to $301,000 USD / year
- Full-time
Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how machine learning powers Piai™, our proprietary claims-intelligence platform. This is a…
Added 3 months ago
D
Forward Deployed Engineer
Doppel
Toronto, Ontario
- Full-time
Strong software engineering background with experience building production applications (Python preferred).
Added 3 months ago
F
Senior Software Engineer - Applied AI
Feathery
Toronto, Ontario
- $90,000 to $140,000 CAD / year
- Full-time
To keep pace with that ambition, we're looking for a Full Stack Engineer to join the AI team and own these capabilities end-to-end.
Added 3 months ago
F
Staff Back End Engineer (Data Platform)
Forma.ai
Remote, Canada
- Full-time
- Remote
As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints…

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
Posting language: English
Posted: Jul 10, 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 to ship AI products.

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.

THE OPPORTUNITY

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.

What You'll Do

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.

Who You Are

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.

HIGHLY PREFERRED:

Deep knowledge of NCCL, NVSHMEM, and UCX.
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.

Why join the Model Performance 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.
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
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

You will architect the software fabric that unifies thousands of GPUs into a cohesive operating system, integrating RDMA capabilities into the inference stack. Additionally, you will optimize distributed inference and enable serverless-grade startup speeds for large language models.

Requirements

Candidates should have deep experience with high-performance networking protocols and be fluent in C++ or Python. A strong understanding of modern NVIDIA architectures and the ability to optimize for them is also essential.

Skills

High-Performance Networking Protocols
C++
Python
Memory Hierarchy
TensorRT-LLM
NCCL
NVSHMEM
UCX
GPUDirect Storage
High-Performance Filesystems
Distributed Inference
Networking Layers
Data Movement
Custom Communication Kernels
Observability Tools
Acceptance Tests

Benefits

Competitive Compensation
Health Insurance
Flexible PTO
Paid Parental Leave
Fertility and Family-Building Stipend
401k

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
GPU Networking
Distributed Systems
AI
Inference
RDMA
RoCE
InfiniBand
TCP/IP
Disaggregated Serving
Wide Expert Parallelism
Checkpointing
Storage Mechanisms
Networking Performance
Bleeding-Edge Clusters
Packet Flow
Congestion
Effective Bandwidth
Communication Libraries
Custom Communication Kernels
NVIDIA
H100
B200
NVL72
TensorRT
Model Performance
Blackwell
Rubin Architectures
High Impact

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