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Added 11 hours ago
A
Electronics Engineer
Actalent
Oakville, ON
- $40 to $50 CAD / hour
- Contract
Added 11 hours ago
DB
Part Time Bridal Sales
David's Bridal
Langley (District), BC · City of Langley, BC
- $16 to $25.8 CAD / hour
- Part-time
Added 11 hours ago
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Sr. Brand Manager (KT by Knix)
Knix
Toronto, ON
- From $110,000 CAD / year
- Full-time
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Frontend Engineer - Dedicated Inference
Baseten
Toronto, ON
- $190,000 to $300,000 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 11 hours ago
MN
Analytics and Insights Analyst (CPG)
Mosaic North America
Mississauga, ON
- Full-time
We use artificial intelligence (AI) tools to help screen and/or assess applications for this role. These tools analyze information you provide (for example, your résumé or answers to…
Added 11 hours ago
B
Software Engineer - GPU Kernels
Baseten
Toronto, ON
- $180,000 to $360,000 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 11 hours ago
A
Technical Documentation & BOM Specialist
Actalent
Ottawa, ON
- $30 to $50 CAD / hour
- Contract
Added 11 hours ago
K
Assistant Store Manager - Halifax Shopping Centre
Knix
Halifax, NS
- Full-time
Added 11 hours ago
MN
Reset Merchandiser
Mosaic North America
Ottawa, ON
- Part-time
We’re excited to fill this role now! Applications are reviewed as they come in - don’t wait, apply today and join our team.
Added 11 hours ago
MN
Reset Merchandiser
Mosaic North America
AB · Edmonton, AB
- Part-time
We’re excited to fill this role now! Applications are reviewed as they come in - don’t wait, apply today and join our team.
Added 11 hours ago
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Manager - Software Engineering
CARFAX
London, ON
- $114,000 to $164,000 CAD / year
- Full-time
Built large-scale, common applications or services that enrich multiple products.
Added 11 hours ago
AT
Class 1 Driver (Manual Transmission Required)
Armour Transportation Systems
Grand Falls, NB
- Full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our…
Added 11 hours ago
K
Facilities Maintainer/Maintenance Technician
Kinectrics
Tiverton, NS
- Full-time
Added 11 hours ago
A
Senior Technical Lead - Remediation
AECOM
Halifax, NS
- $120,000 to $145,000 CAD / year
- Full-time
Experience with regulatory applications and documentation in Nova Scotia.
Added 12 hours ago
MS
Senior Engineer II, Proxy
Menlo Security Inc.
Canada
- Full-time
…for languages that offer strong safety guarantees in critical…
Added 12 hours ago
CC
Technical Support Analyst
Colas Canada Inc.
St. Albert, AB
- Full-time
…make Colas an industry leader through developing custom mobile applications and business intelligence tools, supporting core applications, maintaining our infrastructure, and much more.…
Added 12 hours ago
AC
Senior Actuarial Analyst, High Net Worth Pricing
Aviva Canada
Markham, ON
- Full-time
Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and…
Added 12 hours ago
AC
Senior Actuarial Analyst, Personal Pricing
Aviva Canada
Markham, ON
- Full-time
Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and…
Added 12 hours ago
AT
Class 1 Driver (Manual Transmission Required)
Armour Transportation Systems
Saint John, NB
- Full-time
Armour Transportation Systems welcomes applications from Indigenous peoples, African Canadians and other racially visible persons, persons with disabilities, and women in occupations or…
Added 12 hours ago
SP
Cement Technical Sales Representative
Stubbe's Precast
Canada
- Full-time
Review drawings, specifications, tender documents, and customer requirements to identify suitable applications and prepare accurate proposals.
Added 12 hours ago
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On Call Ground School Instructor-EN
CAE
Montreal, QC
- Part-time
As part of our process, we may use AI‑supported tools to help review applications, with human decision‑making at every step. CAE thanks all applicants for their interest. However, only…
Added 12 hours ago
SM
IT System Administrator
Swish Maintenance Limited
Peterborough, ON
- Full-time
Added 12 hours ago
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Quality Assurance Engineer
Trulioo
Vancouver, BC
- Full-time
Added 12 hours ago
Senior Advisor, Agency Oversight and Freedom of Information
Alcohol and Gaming Commission of Ontario
Toronto, ON
Added 12 hours ago
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CNC Machine Operator - Precision Equipment
CyberCoders
Chatham, NB
- $30 to $32 CAD / hour
- Contract
This job was first posted by CyberCoders on 10/22/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.

Baseten

Software Engineer - GPU Kernels

Toronto, ON, Canada

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

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Job details

Pay: $180,000 to $360,000 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

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

Apply About employer

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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