AmazonSoftware Dev Engineer, Machine Learning Compilers, Edge AI Compiler and Runtime Team
Amazon is hiring a Software Dev Engineer, Machine Learning Compilers, Edge AI Compiler and Runtime Team in Vancouver, Canada. It pays CAD 115k-CAD 192k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions Python, C and Compilers among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Design and develop deep learning compiler infrastructure and optimization techniques for edge AI custom silicon.
We are looking for a talented and passionate software engineer to be part of an exciting technology creation team at Amazon. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of deep learning technologies embedded into consumer products used every day, by people you know. The position provides an unique opportunity to contribute and make an impact from hardware design stage followed by pre and post silicon development as well as productizing it on consumer devices.
In this role you will be work along side partner science teams to develop the compiler infrastructure and lower deep learning workloads to heterogeneous device backends. You will also partner up with peer science teams to innovate on model quantization and compression techniques for efficient execution on hardware.
Key job responsibilities
Design and develop software stack for deep learning accelerator
Develop Compiler passes for graph ingestions, optimizations and partitioning.
Develop backend code generation capabilities across heterogeneous platforms
Profile, analyze and optimize system level performance, develop new tooling where necessary
Participate in design reviews, API development, and documentation
Successfully collaborate with hardware, software, applied science and product teams to onboard more and more user experiences to be powered by Deep Learning accelerator.
Mentor and provide guidance to junior engineers
A day in the life
You join a small team building the compiler that brings large AI models to a new generation of custom silicon. The chip has a fraction of the memory of a phone, and the compiler is what makes language models run on it at all. The team is small enough that each engineer owns a meaningful piece of the system end to end. There is no layer between you and the problem.
The morning starts with results from an overnight run. A piece of the compiler you own just produced its tightest result yet on a real model. You ship the change for hardware validation.
You spend the afternoon directing AI agents through the codebase, reviewing their changes, and steering the design.
Before lunch, you load your compiled model onto the chip and run it through a demo app you wrote yourself, watching tokens stream out of silicon you helped make work. Later, you meet with the research team. They depend on your component. You sketch a cleaner interface together.
About the team
We sit at the intersection of AI models and custom silicon, and our work decides what is possible at the edge.
Engineers here bring deep experience across compilers and program analysis, optimization algorithms, computer architecture, machine learning systems, and the practical craft of getting large software to run reliably under tight constraints. People have shipped production code generators, tuned schedulers for novel hardware, and worked at every layer from the model down to the bare metal.
Because the team is small, you work alongside that experience daily, not at a distance. You partner directly with researchers shaping the models, hardware engineers shaping the silicon, and firmware engineers shaping the runtime. You learn how each layer constrains and unlocks the others, and you see your decisions land end to end.
This is a place to build technical depth quickly and own work that matters from day one.
Basic qualifications
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of non-internship professional software development experience
- 3+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in embedded development in C/C++
- Knowledge of system performance, memory management, and parallel computing principles
- Experience building compiler for application specific accelerators or custom instruction set
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 114,800.00 - 191,800.00 CAD annually
How we rate this
Software Dev Engineer, Machine Learning Compilers, Edge AI Compiler and Runtime Team at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where compiler design was part of your work. What did you do?
- Tell me about a project where optimization was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Machine learning, Deep learning, Compiler Design, and Optimization. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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