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Added 3 months ago
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Sr. AI Engineer – Agentic Systems
Chubb
Toronto, ON
- Full-time
Deep expertise in production Python, with strong working knowledge of current agent frameworks and protocols (Claude Agent SDK, deepagents, LangGraph, MCP, or equivalents)
Added 2 months ago
AI and Data - Senior Consultant - AI/ML Engineer
EY
Toronto, ON · Montreal, QC
Proficiency in Python and frameworks such as Tensorflow, PyTorch, or Scikit-learn.
Added 3 months ago
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Java Full Stack Developer - React JS - Assistant Vice President
Citi
Mississauga, ON
- Full-time
The position is for a senior full-stack developer with 6-8 years of experience, specializing in building enterprise-scale applications. This role is suited for a strong React-focused full…
Added 3 months ago
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Digital Architect
Lightmatter
Toronto, Ontario
- Full-time
Power user of multiple development tools, including CAD tools, SPICE simulators, IBIS-AMI simulators, and general programming languages (e.g., MATLAB or Python).
Added 3 months ago
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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
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Data Scientist
Larus
Ottawa, Ontario
- Full-time
Strong object-oriented programming in Python;
Added 3 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
Strong scripting or programming skills (e.g., Bash, Python, Go, PowerShell, JavaScript).
Added 4 months ago
SI
St Staff R&D Engineer
Synopsys Inc
Waterloo, Ontario
- Full-time
…Full stack development is second nature to you: you design Python backends, build Angular frontends, and understand exactly where the boundaries should be and why they matter. When…
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
Sr. Software Engineer (Hardware)
Dialpad
Vancouver, BC
Hands-on experience with Python or other relevant structured languages.
Added 3 months ago
Strategy & Operations Co-op - Winter 2027
Canada Rocket Company
Toronto, ON
…Excel and/or AI-assisted, structured code-based models such as Python. Prior coding ability is not…
Added 2 months ago
Java Developer
Capgemini
Montreal, QC
We are looking for a strong java developer to join RIM team and help deliver key initiatives. The applicant should be a solid Java programmer, with strong design and implementation…
Added 3 months ago
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Senior Software Engineer, Applied AI (Netherlands)
Justworks
Toronto, ON
- €143,000 to €184,000 EUR / year
Golang, Ruby on Rails, Javascript, Java, C#, Python, VueJS, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog
Added 2 months ago
Senior Software Engineer, Applied AI (Spain)
Justworks
Toronto, ON
Golang, Ruby on Rails, Javascript, Java, C#, Python, VueJS, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog
Added 3 months ago
AM
SoC DFX Scan / ATPG Engineer
Advanced Micro Devices, Inc
Ottawa, ON
- Full-time
Experience with scripting languages such as Python, Perl, Tcl, or Shell.
Added 3 months ago
Q
Engineer
Qualcomm
Markham, ON
- Full-time
Basic scripting skills in Python, Tcl, Perl, or Shell.
Added 3 months ago
Q
Senior ASIC Implementation Engineer, Low Power AI
Qualcomm
Markham, ON
- Full-time
Added 3 months ago
G
Full Stack Software Engineer
Gumloop
Vancouver, BC
- Full-time
2–5 years of professional experience building products as a full stack developer
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 1 month ago
Senior Business Applications Developer
NORR
Toronto, ON
We are looking for an experienced Senior Business Applications Developer to lead the design and development of enterprise application solutions that improve how our business operates. As…
Added 3 months ago
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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 CAD / 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 CAD / 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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Software Engineer - Infrastructure
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / 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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Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / 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…

Baseten

Software Engineer - GPU Networking & Distributed Systems

Montreal, QC, 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
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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