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Added 12 days ago
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Software Engineer - Voice AI (Inference Runtime)
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
…productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these…
Added 12 days ago
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Software Engineer - Dedicated Inference
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 12 days ago
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Cloud Platform Engineer
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating…
Added 12 days ago
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Software Engineer - GPU Kernels
Baseten
Montreal, QC
- $180,000 to $360,000 CAD / year
- Full-time
We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As…
Added 12 days ago
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Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
Tool Development: Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis.
Added 12 days ago
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Software Engineer - Infrastructure
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 12 days ago
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Security Engineer
Baseten
Toronto, ON
- $150,000 to $250,000 CAD / year
- Full-time
We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As…
Added 12 days ago
B
Software Engineer - Dedicated Inference
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 12 days ago
A
Electrical Engineer
Actalent
Toronto, ON
- $52 to $72 CAD / hour
- Full-time
Job Title: Lead Electrical Engineer - Renewable Energy Projects
Added 12 days ago
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Forward Deployed Engineer
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / 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 12 days ago
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Software Engineer - GPU Networking & Distributed Systems
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
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…
Added 12 days ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
…productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these…
Added 12 days ago
A
Electronics Engineer
Actalent
Oakville, ON
- $40 to $50 CAD / hour
- Contract
We are seeking a hands-on Electronics Engineer to support the testing, troubleshooting, and development of electronic hardware and devices. In this role, you will work closely with a…
Added 12 days ago
B
Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
Tool Development: Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis.
Added 12 days ago
B
Frontend Engineer - Dedicated Inference
Baseten
Toronto, ON
- $190,000 to $300,000 CAD / year
- Full-time
We’re looking for a seasoned Frontend Engineer to craft performant and delightful user experiences across Baseten’s core platform. You’ll own critical parts of our web application stack and…
Added 12 days ago
B
Software Engineer - GPU Kernels
Baseten
Toronto, ON
- $180,000 to $360,000 CAD / year
- Full-time
We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As…
Added 12 days ago
A
Technical Documentation & BOM Specialist
Actalent
Ottawa, ON
- $30 to $50 CAD / hour
- Contract
…focused on next-generation high-speed networking technology. The engineer will be responsible for inspecting, documenting, and managing components in test stations, ensuring accurate bills…
Added 12 days ago
MS
Senior Engineer II, Proxy
Menlo Security Inc.
Canada
- Full-time
Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition
Added 12 days ago
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Quality Assurance Engineer
Trulioo
Vancouver, BC
- Full-time
Our offices support a hybrid model and staff typically work three days per week at a hub location · This is a full-time, permanent position based out of our Vancouver office, working on a hybrid model (3 days per week in-office)
Added 12 days ago
C
Application Programmer
Collabera
Mississauga, ON
- $70 to $80 CAD / hour
- Full-time
We are seeking an experienced Senior Forward Deployed Engineer (FDE) with strong expertise in Java, Python, backend/full-stack development, and solution architecture. The ideal candidate…
Added 12 days ago
GC
Geotechnical Engineer or Engineer-in-Training
Glencore Canada
Elkford, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to the Geotechnical Senior Engineering Supervisor, the Geotechnical Engineer or Engineer-in-Training (EIT) is responsible for pit and spoil slope stability.
Added 12 days ago
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Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 12 days ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 12 days ago
AI
Intermediate Mechanical Design Engineer
Aversan Inc.
Cambridge, ON
- $76,000 to $105,000 CAD / year
- Full-time
Determine tools, fixtures, and equipment for fabrication and assembly of mechanical components
Added 12 days ago
RS
Pipeline Integrity Technician
Rockwood Service Corporation
Edmonton, AB
- Full-time
Organize and report inspection results & communicate results to the responsible engineer.

Baseten

Software Engineer - GPU Kernels

Toronto, ON, Canada

$180,000 to $360,000 CAD / year · Full-time

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Job details

Pay: $180,000 to $360,000 CAD / 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

We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.

You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Model Performance team:

Baseten Embeddings Inference: The fastest embeddings solution available
The Baseten Inference Stack
Driving model performance optimization

Responsibilities

Core Engineering Responsibilities

Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing
Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques
Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap

Performance & Innovation

Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap
Identify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler
Collaborate with research teams to productionize theoretical advancements

Impact & Collaboration

Contribute to internal and open-source GPU libraries
Present technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)

Requirements

Strong understanding of GPU architecture and programming paradigms:
- Memory hierarchy (global, shared, registers, L1/L2 cache)
- Thread/block/grid organization
- Synchronization techniques and race condition mitigation
Proficient in C++ and GPU performance profiling tools
Knowledge of:
- CUDA C++ API
- Memory access patterns and bandwidth optimization
- Numerical precision and quantization strategies
- Modern GPU features (e.g., tensor cores, async operations)

NICE TO HAVE

Experience with Transformer models and attention optimization (e.g., Flash Attention)
Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB
Background in GEMM tuning and distributed/multi-GPU compute
Contributions to open-source GPU projects
Research publications or conference presentations on GPU performance

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: $180K - $360K

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More about this job

Responsibilities

Design and optimize high-performance GPU kernels for machine-learning operations, using CUDA, PTX, and architecture-specific techniques. Identify and resolve performance bottlenecks, productionize research advances, and contribute to internal and open-source GPU libraries.

Requirements

Candidates should have a strong understanding of GPU architecture, memory hierarchies, thread organization, synchronization, and performance optimization, along with proficiency in C++ and GPU profiling tools. Knowledge of CUDA, memory access and bandwidth optimization, numerical precision and quantization, and modern GPU features such as tensor cores and asynchronous operations is required.

Skills

GPU Kernel Development
GPU Architecture
CUDA C++
C++
PTX Assembly
GPU Performance Profiling
Memory Optimization
Warp-Level Programming
Tensor Cores
Quantization
Numerical Precision
Attention Optimization
GEMM Tuning
Multi-GPU Computing
Nsight Systems
Nsight Compute

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 Kernels
CUDA
PTX Assembly
C++
Matrix Multiplication
Attention Mechanisms
Mixture-of-Experts
Memory Coalescing
Warp-Level Programming
Tensor Cores
FP8
FP4
Quantization
Sparsity
Compute-Communication Overlap
Nsight Systems
Nsight Compute
Torch Profiler
Transformer Models
Flash Attention
Cutlass
Triton
Thrust
CUB
GEMM
Distributed Computing
Multi-GPU Computing
GPU Architecture
Memory Hierarchy
Inference Optimization

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Jobs in Canada