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Added 1 day ago
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Senior Revenue Operations Manager
Pepper
Canada
- Full-time
Architect the systems. Own the data model and integrations across HubSpot, Snowflake, Gong, Slack, and our internal sales platform, and build source-of-truth tables that agents and…
Added 1 day ago
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AI Solution Architect / Partner (Banking)
Iris Software Inc.
Toronto, ON
- Full-time
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a AI Solution Architect / Partner (Banking) for a long term opportunity at Remote.
Added 1 day ago
TC
Full Stack Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Work closely with the Solution Architect to explore technical design approaches and perform
Added 1 day ago
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Engineering Lead
Zaya Care
Toronto, ON
- Full-time
Hands-on full-stack architect: You design and build systems end to end, from React/Next.js to backend services, APIs, databases, and integrations, and still take pride in shipping…
Added 1 day ago
Solution Architect III, Platform, FSI, Google Cloud
Google
Toronto, ON
…engage in proof of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will drive the technical win and define the…
Added 1 day ago
Platform Solution Architect III, Google Cloud
Google
Calgary, AB · Vancouver, BC
As a Platform Solution Architect, you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and…
Added 1 day ago
ML
AI Engineer
MACHINE LEARNING TECHNOLOGIES LLC
Toronto, ON
- Full-time
Design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, prompt-based applications, and emerging technologies.
Added 1 day ago
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Senior CPU Security Architect , Next Generation Secure Platform Development
SECQAI
London, ON · Bristol-London, ON
- Full-time
We’re excited to be expanding our Hardware Engineering team and are looking for a Senior CPU Security Architect who is interested in working with pioneers who work at the intersection of…
Added 1 day ago
AI Outcome Customer Developer, Forward Deployed Development
Google
Toronto, ON
As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will…
Added 1 day ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
We're looking for a senior, hands-on technical architect - someone with deep Financial Services Cloud implementation experience who still configures, codes, and builds, not just designs on…
Added 1 day ago
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Solutions Architect, Salesforce Migrations (Data360, Revenue, Tableau, or Marketing Clouds)
Salesforce Partner Canada
Toronto, ON
- Full-time
The Solutions Architect, Salesforce Migrations is an individual contributor who leads complex customer migration engagements from kickoff through successful go-live. You serve as the…
Added 1 day ago
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Sr. Director, Product Management, AI Product Strategy
OpenText
Waterloo, ON
- Temporary
Architect and deliver production-grade agentic systems using LangChain, LangGraph, A2A (Agent-to-Agent) protocols, and other transformative AI frameworks to create adaptive, multi-agent…
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AI Architect
Coforge
Canada
- Contract
🚀 Hiring: AI Architect – Enterprise AI Platform
Added 1 day ago
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Business Process & System Specialist
J-Squared Technologies Inc.®
ON · Ontario, Canada
- Full-time
…mining, defence & military, transportation, and marine. We architect and manufacture systems that work no matter…
Added 1 day ago
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Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML…
Added 1 day ago
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RQ11824 - IT Enterprise Architect/Strategist - Senior
Maarut
Toronto, ON
- Contract
Architecture (EA) strategy and architect deliverables for the organization
Added 1 day ago
CC
Teamcenter PLM Consultant
Cuatro Consulting Inc.
Mississauga, ON
- Full-time
1. Teamcenter Technical Consultant / Solution Architect
Added 2 days ago
AC
Data Analytics Manager
Amphenol Communications Solutions
Markham, ON
- Full-time
Added 2 days ago
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Chief Solution Architect (Pre-sales, AI + Data Transformation)
Jobgether
Canada
- Full-time
…and next steps. Our partner is looking for a Chief Solution Architect (Pre-sales, AI + Data Transformation) based in…
Added 2 days ago
CT
Lead/Senior Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
This role requires more than just moving data between systems. The successful candidate will act as a data product architect, transforming complex, messy operational data into trusted,…
Added 2 days ago
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Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
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…
Added 2 days ago
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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 2 days ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
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…
Added 2 days ago
LI
IT Enterprise Architect/Strategist
Lotus IT Solutions
Toronto, ON
- Contract
The Ministry of Public and Business Service Delivery and Procurement is seeking a Senior IT Enterprise Architect/Strategist to join the Enterprise Technology & Digital Standards (ETS) team…
Added 2 days ago
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AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract

Baseten

Software Engineer - GPU Networking & Distributed Systems

Toronto, ON, 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 and communication layers for distributed inference, including disaggregated KV cache offload and Wide Expert Parallelism, while tuning performance across GPU interconnects. Validate next-generation GPU clusters, build networking observability and acceptance tests, and optimize communication libraries or 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 across the software and hardware stack; experience with NCCL, NVSHMEM, UCX, Rust, GPUDirect Storage, high-performance filesystems, or inference frameworks is an advantage.

Skills

High-Performance Networking
InfiniBand
RoCE v2
C++
Python
GPU Networking
Distributed Systems
NVIDIA GPU Architecture
RDMA
NCCL
NVSHMEM
UCX
TensorRT-LLM
GPUDirect Storage
Performance Benchmarking
Distributed Inference

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

GPU Networking
Distributed Systems
RDMA
RoCE v2
InfiniBand
C++
Python
Rust
NVIDIA H100
NVIDIA H200
NVIDIA Blackwell
NVLink
NCCL
NVSHMEM
UCX
TensorRT-LLM
vLLM
SGLang
GPUDirect Storage
Weka
3FS
Kubernetes Networking
Distributed Inference
Disaggregated KV Cache Offload
Wide Expert Parallelism
Mixture-of-Experts Models
Communication Kernels
Performance Benchmarking
GPU Memory Hierarchy
Network Observability

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