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Added 4 days ago
CC
Data Scientist
Coca-Cola Canada Bottling Limited
Toronto, ON
- Full-time
Bachelor’s degree or a college diploma in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Engineering); a Master’s degree is considered an asset.
Added 4 days ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 4 days ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 4 days ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 4 days ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 4 days ago
Q
ASICS Design Verification Engineer (Vancouver OR Markham)
Qualcomm
Markham, ON · Vancouver, BC
- Full-time
Engineering Group, Engineering Group > ASICS Engineering
Added 4 days ago
BR
Robotics Software Developer – ROS2, State Estimation, Perception
BHF Robotics
Markham, ON
- Full-time
Development Skills: Exceptional C++ and Python programming skills with a strong grasp of modern software engineering practices (Git, CI/CD, unit testing, profiling).
Added 4 days ago
M
Senior Software Engineer - Card Network Integration
Marqeta
Remote, Canada
- Full-time
- Remote
You bring 5+ years of experience in software, or data engineering, ideally in payments or financial services processing and are comfortable driving outcomes with limited direction
Added 4 days ago
LT
Technical Product Manager (Hardware & Accessories)
LMI Technologies
Burnaby, BC
- Full-time
Familiarity with programming languages and data analysis (e.g. C++, C#, Python, Matlab)
Added 4 days ago
E
Customer Issue and Investigation Coop
Ericsson
Ottawa, ON
- Full-time
Conduct data analysis related to Ericsson radios and CIIG team performance.
Added 4 days ago
LT
Technical Product Manager (Hardware & Accessories)
LMI Technologies
Burnaby, BC
- Full-time
Familiarity with programming languages and data analysis (e.g. C++, C#, Python, Matlab)
Added 4 days ago
J
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
- Full-time
Design and maintain data models and service integrations
Added 4 days ago
Data Scientist
CONA Services
Toronto, ON
Bachelor’s degree or a college diploma in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Engineering); a Master’s degree is considered an asset.
Added 4 days ago
Data Scientist
CONA Services
Toronto, ON
Bachelor’s degree or a college diploma in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Engineering); a Master’s degree is considered an asset.
Added 4 days ago
B
Software Engineer- Inference Performance
Baseten
Montreal, QC
- $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 4 days ago
J
Technical Support Specialist - Bilingual French
Jobgether
Canada
- Full-time
Protect the confidentiality and security of customer data and information while supporting broader strategic initiatives within the organization.
Added 4 days ago
CC
Senior Embedded Linux / BSP Platform Engineer
Corinex Communications
Vancouver, BC
- Full-time
The role combines platform engineering with hands-on product development for solutions such as Smart Metering Data Concentrators and BPL proxy solutions for grid visibility and flexibility.
Added 4 days ago
J
Technical Support Specialist - Bilingual French
Jobgether
Canada
- Full-time
Protect the confidentiality and security of customer data and information while supporting broader strategic initiatives within the organization.
Added 4 days ago
N
Software Engineer – Master’s New Grad / Bachelor’s + 2–3 Years Experience
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Programming Languages: Strong proficiency in Python, Golang, or modern backend engineering technologies.
Added 4 days ago
Battery Engineering Co-op
Moment Energy
Surrey, BC
We are seeking a motivated Battery Engineering Co-op to join our Engineering team. In this role, you will support the development and testing of our battery energy storage systems while…
Added 4 days ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
…architect deeply technical solutions, lead cross-functional engineering pods, and convert client ambiguity into shipped capabilities. You will simultaneously drive practice growth - while…
Added 4 days ago
LI
VP of Engineering
Lasso Informatics
Montreal, QC
- Full-time
Lasso Informatics is hiring a VP of Engineering to lead the engineering group that builds and operates our research data management platform. Reporting to the CTO, you will lead how the…
Added 4 days ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The ideal candidate should be passionate about software engineering, system design, automation and possess leadership skills to drive sophisticated issues to resolution. Able to communicate…
Added 4 days ago
X
Cybersecurity Engineer
Xanadu
Toronto, ON
- Full-time
Hands-on experience writing scripts in Linux or Python
Added 4 days ago
MA
Machine Learning Research Intern
M31 AI
Toronto, ON
- Full-time
…analysis, clinical electronic health records (EHR) and/or imaging data. Available to work full-time and on-site 3 days a…

Baseten

Software Engineer- Inference Performance

Montreal, QC, 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 4, 2026
Posting language: English
Posted: Oct 5, 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 looking for inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as an Inference Performance engineer:

Agentic Kernels in Production
How we built the new fastest API for GLM-5.2
Live draft model training for speculative decoding
Making Kimi K3 Tokenization 18x faster
The Baseten Inference Stack
Driving model performance optimization

Responsibilities

Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms.
Profile and optimize inference end to end, from kernel launch overhead and memory layout up to request scheduling, prefill/decode disaggregation, and cache-aware routing. Run cross-layer investigations, such as tracing a tail-latency regression from request timing through routing and batching down to a kernel.
Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization, and give customers and internal teams clear latency/throughput/cost tradeoffs.
Bring up and tune new model architectures on new hardware quickly, often in the same week they're released.
Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations.
Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.

Requirements

Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
Experience with one or more general-purpose programming languages, such as Python or C++.
Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching).
Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.
Demonstrated interest and experience in LLMs.
Deep understanding of GPU architecture.

NICE TO HAVE

Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs)
Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine.
Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity.
Written or optimized GPU kernels (CUDA, Triton, CUTLASS, or similar)
Worked on quantization (FP8/FP4, AWQ, GPTQ) or speculative decoding in production.
Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions.

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

Implement and optimize production LLM inference across runtimes, kernels, scheduling, serving, and routing, using techniques such as quantization, speculative decoding, and KV-cache management. Improve latency, throughput, GPU utilization, and cost; benchmark new models and hardware; and contribute to open-source inference engines while collaborating across teams.

Requirements

A bachelor's, master's, or Ph.D. degree in computer science, engineering, mathematics, or a related field is required, along with experience in a general-purpose language such as Python or C++. Candidates should have LLM optimization experience or familiarity, strong knowledge of ML libraries such as PyTorch or TensorRT, demonstrated interest and experience in LLMs, and a deep understanding of GPU architecture.

Skills

LLM Inference Optimization
Python
C++
PyTorch
TensorRT
GPU Architecture
Quantization
Speculative Decoding
Continuous Batching
KV-Cache Management
Performance Profiling
GPU Kernel Optimization
Distributed Model Serving
Benchmarking
Scheduling and Routing
Inference Engine Development

Benefits

Competitive Compensation
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)
Learning and Networking Opportunities

Visa sponsorship

Not detected in the job text

Keywords

LLM Inference
Inference Performance
Python
C++
PyTorch
TensorRT
TensorRT-LLM
vLLM
SGLang
CUDA
Triton
CUTLASS
GPU Architecture
Quantization
FP8
FP4
AWQ
GPTQ
Speculative Decoding
Continuous Batching
KV-Cache
Chunked Prefill
LoRA
Guided Generation
Prefill/Decode Disaggregation
Distributed Serving
Autoscaling
Load Balancing
Benchmarking
Performance Optimization

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