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Added 3 months ago
MH
Senior Full-Stack Automation Engineer - Gravity
MedMe Health
Remote, Canada
- $115,000 to $176,000 USD / year
- Full-time
- Remote
…schedule, document, and manage clinical services at scale. With over 4,500 pharmacies using our software, we’ve facilitated more than 25 million patient services, transforming pharmacies…
Added 4 months ago
KC
Manager, GRC
KPMG Canada
Toronto, Ontario
- Full-time
…develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…
Added 2 months ago
CI
Manager, Delivery Data Science
Curinos Inc
Toronto, ON
- Full-time
…business strategy and technical execution - partnering closely with Data Science, Product, and Client Success teams to develop optimization strategies, support model governance, and drive…
Added 1 month ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Strong programming skills in Python and hands-on experience with PyTorch.
Added 3 months ago
T
Principal AI Engineer - Tangerine
Tangerine
Toronto, Ontario
- Full-time
…agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of…
Added 3 months ago
FS
DSP Designer
Fidus Systems
Kitchener, Ontario
- Full-time
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 3 months ago
FS
DSP Designer
Fidus Systems
Ottawa, Ontario
- Full-time
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 3 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Toronto, ON · Vancouver, BC
- Experience with one or more scripting language (e.g., Python, KornShell)
Added 2 months ago
AI and Data - Manager - AI Engineer
EY
Toronto, ON
Advanced object-oriented coding skills in Python for production-level codebases. Familiarity with Java, TypeScript/JavaScript is a plus.
Added 1 month ago
AI and Data - Senior Consultant - AI/ML Engineer
EY
Toronto, ON · Montreal, QC
At EY, we’re all in to shape your future with confidence.
Added 3 months ago
L
Frontend/UI Developer
Larus
Ottawa, Ontario
- Full-time
We are looking for a UI/Frontend Developer to join the Larus team. You will design and build the interfaces through which military planners, analysts, and decision-makers make sense of…
Added 3 months ago
L
Data Scientist
Larus
Ottawa, Ontario
- Full-time
…various data science problems, while communicating directly with enterprise clients to gather requirements, define problems, and develop applied…
Added 3 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
…complex security challenges. We are passionate problem solvers with deep security…
Added 3 months ago
IE
Principal Machine Learning Architect
Index Exchange
Toronto, Ontario
- Full-time
Experience with Python or other relevant programming languages and Machine Learning frameworks
Added 2 months ago
Physical Design Methodology Engineer, AI HW IP
Tenstorrent
Toronto, ON
Expertise with industry-standard tools (FusionCompiler/ICC2, Innovus/Genus, PrimeTime, RedHawk) and scripting languages (Tcl, Python, Perl).
Added 3 months ago
B
Forward Deployed Engineer
Baseten
Montreal, Quebec
- $165,000 to $330,000 USD / year
- Full-time
…general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML…
Added 3 months ago
B
Product Engineer - Dedicated Inference
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 - 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
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…
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
…institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire a senior ML Engineer to join our team with…
Added 3 months ago
O
Senior DevOps Engineer, for AI-based Systems
Oncoustics
Toronto, Ontario
- Full-time
Familiarity with Python for machine learning and deep learning
Added 3 months ago
O
Data Scientist/Machine Learning Scientist in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire an experienced ML Engineer/Data Scientist to…
Added 3 months ago
TA
Lead AI Engineer
Tiger Analytics Inc.
Remote, Canada
- Remote
…distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual will oversee multiple engineering pods, mentor technical teams,…
Added 3 months ago
HT
Embedded Engineer – AI System Architecture
Huawei Technologies Canada Co., Ltd.
Edmonton, AB
- Contract
Research and development of Agentic AI Software for system optimization on edge devices, with measurable wins in latency, power, and quality.

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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