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Added 11 mins ago
F
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 56 mins ago
T
QA Engineer- Salesforce Marketing Cloud (SFMC)
Tru
Toronto, ON
- Full-time
Job Title: QA Engineer- Salesforce Marketing Cloud (SFMC)
Added 56 mins ago
DW
Senior Mechanical Engineer (P.Eng.)
Design Works Engineering
Grande Prairie, AB
- Full-time
…we're building out our mechanical team here - we want a senior engineer to help shape it. This is a technical leadership role: you'll be the mechanical authority on your projects, set the…
Added 56 mins ago
DW
Senior Mechanical Engineer (P.Eng.)
Design Works Engineering
Calgary, AB
- Full-time
We're building out our mechanical team in Calgary, and we want a senior engineer to help shape it. This is a technical leadership role: you'll be the mechanical authority on your projects,…
Added 56 mins ago
DW
Intermediate Mechanical Engineer (P.Eng.)
Design Works Engineering
Grande Prairie, AB
- Full-time
A junior engineer or designer on your projects is noticeably stronger because of your reviews.
Added 56 mins ago
DW
Intermediate Mechanical Engineer (P.Eng.)
Design Works Engineering
Edmonton, AB
- Full-time
A junior engineer or designer on your projects is noticeably stronger because of your reviews.
Added 56 mins ago
DW
Intermediate Mechanical Engineer (P.Eng.)
Design Works Engineering
Calgary, AB
- Full-time
A junior engineer or designer on your projects is noticeably stronger because of your reviews.
Added 1 hour ago
TT
Director, Manufacturing Operations (North America)
Trojan Technologies
London, ON
- $155,000 to $180,000 CAD / year
- Full-time
Professional Engineer or Engineering Technologist designation.
Added 1 hour ago
TT
Director, Planning, Procurement & Inventory
Trojan Technologies
London, ON
- $155,000 to $180,000 CAD / year
- Full-time
…shortage recovery, and planning logic across Make-to-Stock, Engineer-to-Order, Configure-to-Order, and aftermarket…
Added 1 hour ago
EI
Maintenance Team Leader
Ecolab Inc.
Mississauga, ON
- Full-time
Receives and processes work orders on a web-based maintenance management system.
Added 1 hour ago
TS
Electrical Engineer Lead
TalentSphere Staffing Solutions
ON · Ontario, Canada
- Full-time
Related Titles: Electrical Engineer, Project Manager (Electrical), Electrical Designer, Building Systems Engineer
Added 2 hours ago
KG
Generation Gold - Mechanical Engineer-in-Training
Kinross Gold Corporation
Toronto, ON
- Full-time
Added 2 hours ago
RC
Senior SIS Engineer
Randstad Canada
Vancouver, BC
- $140,000 to $180,000 CAD / year
- Full-time
We are seeking an experienced Safety Instrumented System Engineer for a client of ours in the Vancouver area.
Added 2 hours ago
GO
Senior Engineer (Municipal Infrastructure)
Government of Newfoundland and Labrador
Gander, NL
- $45.11 to $53.22 CAD / hour
- Temporary
Registered as a Professional Engineer (P.Eng) with a Canadian Professional Engineering Association
Added 2 hours ago
TS
Senior Mechanical Design Engineer - Buildings
TalentSphere Staffing Solutions
Calgary, AB
- Full-time
A well-established and growing consulting engineering firm in Calgary is looking to add a Senior Mechanical Design Engineer to their team. This opportunity is ideal for someone who enjoys…
Added 2 hours ago
SI
DevOps Engineer
Spait Infotech
Canada
- Full-time
Configure and maintain Linux servers and troubleshoot system issues.
Added 2 hours ago
T
Quality Assurance Engineer
Trulioo
Remote, Canada
- $85,000 to $95,000 CAD / year
- Full-time
- Remote
Reporting to the Manager, Quality Assurance, the Quality Assurance Engineer will be responsible for delivering quality software for the Trulioo SaaS platform. This role involves designing…
Added 2 hours ago
S
Enterprise Sales Engineer - Majors, Financial Services
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are…
Added 2 hours ago
S
Enterprise Sales Engineer - Majors, Healthcare
Sierra
Toronto, ON
- $325,000 to $335,000 CAD / year
- Full-time
…how patients and policyholders interact with the healthcare…
Added 2 hours ago
MS
Senior Engineer II, Proxy
Menlo Security
Remote, Canada
- Full-time
- Remote
We're hiring a senior engineer to join the team that owns the ingress proxy service. The proxy is the primary path into the product for most users. As AI adoption grows, our customers want…
Added 2 hours ago
G
Quality Assurance Specialist
Gastops
Ottawa, ON
- Contract
…compliance, and continual improvement of Gastops’ Quality Management System (QMS). The position independently leads and executes assigned quality assurance activities, including internal…
Added 2 hours ago
CT
Lead/Senior Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
Our client is seeking an experienced, hands-on Senior Data Engineer to help build and scale the enterprise data foundation supporting Analytics, AI, and self-service decision-making across…
Added 3 hours ago
EN
Principal Wireless SW Engineer
Extreme Networks
Toronto, ON
- Full-time
The Principal Wireless Software Engineer is a senior technical leader responsible for resolving the most complex and business-critical customer issues escalated through the Global Technical…
Added 3 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 3 hours ago
Engineer
Toronto Hydro
Toronto, ON
Reporting to the Manager, Engineering, Engineering Policy and Product Change, the Engineer is responsible for providing a broad range of engineering support services to ensure the technical…

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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