Role Overview
Amazon is hiring a entry-level AWS Neuron ML Kernel Engineer. This is a full-time role in Toronto. posted 3 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Join the Annapurna Labs team at Amazon Web Services as a Machine Learning Kernel Performance Engineer. Focus on designing high-performance kernels for AWS's custom ML accelerators, such as Inferentia and Trainium. As part of the Acceleration Kernel Library team, you'll work on maximizing performance for deep learning and generative AI workloads.
This role requires 3+ years of software development experience and expertise in kernel-level optimizations. You will collaborate with various teams to innovate and enhance kernel design for customer ML models. Key Responsibilities:
- Design high-performance compute kernels for ML functions
- Analyze kernel performance across Neuron hardware generations
- Conduct performance profiling to identify bottlenecks
- Implement compiler optimizations like fusion and scheduling
- Collaborate with teams to optimize customer ML models Requirements:
- 3+ years of professional software development experience
- 2+ years in system design and architecture
- Familiarity with at least one programming language Bring your expertise in kernel performance to the Annapurna Labs team and drive innovative solutions!
Frequently Asked Questions
How do I apply for the AWS Neuron ML Kernel Engineer position at Amazon?
Use the Apply button above to submit your application directly to Amazon. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the AWS Neuron ML Kernel Engineer position at Amazon located?
This position is based in Toronto. Amazon has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a AWS Neuron ML Kernel Engineer at Amazon earn?
Amazon has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the AWS Neuron ML Kernel Engineer role at Amazon posted?
This role was posted on May 17, 2026 (22 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the AWS Neuron ML Kernel Engineer role at Amazon entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Amazon has listed.
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