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Added 3 months ago
GS
Consultant, Technical Solutions
Grantek Systems Integration
Burlington, ON
- Full-time
Lead hands-on implementation using Ignition, Sepasoft MES modules, MQTT brokers, and related platform technologies
Added 2 months ago
Senior PostgreSQL Database Engineer (Hybrid)
OpenTable
Toronto, ON
Lead the design, architecture, and lifecycle management of PostgreSQL environments to ensure high availability, disaster recovery, and scalable performance.
Added 5 months ago
JA
Business Data Analyst (Capital Markets)
Jay Analytix
Toronto, ON
- Contract
Lead business modeling, identify automation, streamlining, simplification opportunities.
Added 3 months ago
MI
Actuarial Associate
Millennium Insurance Corporation
Sherwood Park, Alberta
- Full-time
The successful candidate will work closely with underwriting, finance, claims, and IT stakeholders, lead components of actuarial studies and regulatory deliverables, and play a key role in…
Added 3 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
We are seeking a Lead Penetration Test Engineer with extensive experience in penetration testing and offensive security. The ideal candidate will conduct penetration tests, re-testing,…
Added 3 months ago
Strategy & Operations Co-op - Winter 2027
Canada Rocket Company
Toronto, ON
Support capital planning and project controls across facility, test, and long-lead hardware programs
Added 3 months ago
ME
Intermediate Embedded Firmware Designer
MAD Elevator Inc
Mississauga, ON
- $100,000 to $120,000 CAD / year
…you thrive. From there, it’s all you – your drive and ideas lead the way. MAD has been ranked among Canada's top 500 fastest growing companies, one of Canada’s Best Managed Companies, a…
Added 3 months ago
Design Verification Engineer - technical lead, Annapurna Labs
Amazon
Toronto, ON
- Experience in Python, Perl, or another scripting language
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
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
…tuning on existing models. They should be able to manage and lead both teams and projects, while effectively coordinating with signal processing, clinical data, and product teams. The ideal…
Added 3 months ago
O
Senior DevOps Engineer, for AI-based Systems
Oncoustics
Toronto, Ontario
- Full-time
Lead efforts in creating systems, tools, and processes to a) enable AI/ML and DSP R&D teams to efficiently run experiments and build models and b) deploy selected models and methods to…
Added 3 months ago
O
Data Scientist/Machine Learning Scientist in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…industry experience. A successful candidate will be able to lead projects, as well as coordinating with signal processing, clinical data and product teams. The candidate should be able to…
Added 3 months ago
Z
Senior Data Scientist - Computer Vision
zestyAI
Remote, Canada
- Full-time
- Remote
…can help us become better prepared for them, and ultimately lead to better…
Added 3 months ago
F
Senior Director, Strategic Programs
Financeit
Toronto, Ontario
- $150,000 to $175,000 CAD / year
- Full-time
…Direct-to-Consumer products and value proposition. You will lead a high-performing team to optimize the consumer lending funnel, unlock long-term Customer Lifetime Value, and own end-to-end…
Added 3 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 3 months ago
P
Manager Software Engineering
PointClickCare
Mississauga, Ontario
- $152,000 to $174,000 CAD / year
- Full-time
As a Manager of Software Engineering reporting to the Sr Manager of Engineering, you'll lead multiple Agile teams to deliver high-quality software solutions. You'll own the technical…
Added 3 months ago
CG
Senior Specialist, Cloud and Infrastructure
Centerra Gold Inc.
Vancouver, British Columbia
- Full-time
Lead Azure infrastructure deployments, upgrades, migrations, and operational support, ensuring high availability, performance, and reliability.
Added 3 months ago
ES
Advanced Data Analyst - EA SPORTS™ FC
EA SPORTS
Vancouver, British Columbia
- Full-time
Advanced Data Analyst, Experimentation Lead - FC Ultimate Team
Added 3 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 USD / year
- Full-time
Lead the full development lifecycle of projects, from planning to development, testing, and maintenance
Added 3 months ago
C
Staff Software Engineer
Clutch
Toronto, Ontario
- $205,000 USD / year
- Full-time
Clutch is seeking a Staff Software Engineer / Engineering Lead to drive technical excellence, deliver complex solutions, and shape the future of our platform. This role requires leadership…
Added 3 months ago
F
Staff Back End Engineer (Data Platform)
Forma.ai
Remote, Canada
- Full-time
- Remote
…role in the evolution of our Spark based data platform. You'll lead development efforts for our complex, data-rich platform features while being an example to the team of code quality and…
Added 3 months ago
C
Applications Development Sr Programmer Analyst
Citi
Mississauga, ON
- Full-time
Seeking a Application Infrastructure Engineer with 9+ years of experience to lead cloud migrations, develop AI-driven automation, and manage our containerized platforms. This role requires…
Added 3 months ago
F
Principal Systems Engineer- Enterprise AI (Design & Implementation)
Flatgigs
Remote, Canada
- Full-time
- Remote
Lead technical discussions and communicate architectural decisions clearly to technical and non-technical stakeholders.

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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