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Added 9 hours ago
P
Growth GTM Engineer, Revenue Operations
Perplexity
San Francisco, CA · Austin, TX · New York City, NY
- $175,000 to $235,000 USD / year
Tech stack: Salesforce | Snowflake | dbt | Python | TypeScript | Clay | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | LLM APIs
Added 9 hours ago
SF
Databricks Data Architect
Synectics for Management Decisions Inc
Reston, VA
- $202,000 to $219,000 USD / year
…development, and implementation of enterprise data architecture solutions leveraging the Databricks Data Intelligence Platform. The ideal candidate will have 10+ years of data architecture…
Added 9 hours ago
Splunk ITSI Architect
LED FastStart
Lafayette, LA
. 3+ years designing and delivering Splunk ITSI solutions, including service modeling, KPI design, and event analytics at enterprise scale
Added 9 hours ago
Splunk ITSI & Monitoring Engineer
LED FastStart
Lafayette, LA
. Scripting and automation skills (Python, PowerShell, REST APIs)
Added 9 hours ago
T
.Net Web Developer
TEKsystems
Martinez, CA
- $65 to $70 USD / hour
Hybrid schedule with onsite presence required approximately two days per week in Martinez, California
Added 9 hours ago
Senior Manager, Financial Innovation and Intelligence
Robert Half
San Ramon, CA
Lead the team - Lead, coach, and develop Finance Analytics Solutions Partners, setting clear goals, priorities, and development plans for each team member
Added 9 hours ago
Cybersecurity Infrastructure - Lead
GD Information Technology, Inc.
United States
Cloud Based Solutions, Critical Infrastructure Security, Firewall SecurityCertifications:
Added 9 hours ago
A
Thermal Test Engineer
Actalent
Fremont, CA
- $45 to $59 USD / hour
Coding experience with Python, Pytest, Git, and/or C.
Added 9 hours ago
AI Engineer, Special Programs
SpaceX
Palo Alto, CA
Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for government and enterprise developers
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C
Senior Engineer - Safety & Multimedia / Audio & Camera (iRDK)
Capgemini
Palo Alto, CA
- $68,911 to $161,544 USD / year
Added 9 hours ago
Data Scientist, US Decision Intelligence
Apple
Cupertino, CA
…passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its…
Added 9 hours ago
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Capgemini
Cupertino, CA
Added 9 hours ago
Software Development Engineer I, Inference models optimization, AWS Neuron Inference
Amazon
Cupertino, CA
…engineers to create, build, and tune distributed inference solutions with AWS…
Added 9 hours ago
Manager 3, Mid Market Intelligence (AI-native ERP)
Intuit
MOUNTAIN VIEW, CA
…the opportunity to prosper. We're using technology to build solutions to challenging financial problems for millions of people around the…
Added 9 hours ago
Senior AI Scientist - Consumer Fraud Risk
Intuit
MOUNTAIN VIEW, CA
…problems and requirements, and design machine learning modeling solutions to help the Consumer Group business…
Added 9 hours ago
Senior Software Engineer, Mid Market Intelligence
Intuit
MOUNTAIN VIEW, CA
6+ years of professional experience in designing and developing software solutions, with strong design and coding skills in one or more of Java, Python, or TypeScript, and experience with…
Added 9 hours ago
Software Engineer, Agentic Model Serving, Robotics, DeepMind
Google
Mountain View, CA
Experience developing and integrating Google’s production model serving solutions like Beyond and Uniserve.
Added 9 hours ago
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Google
Sunnyvale, CA
5 years of experience programming in Python or C++.
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Google
Sunnyvale, CA
5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or…
Added 9 hours ago
RTL Design Engineer, Google Cloud - Sunnyvale
Google
Sunnyvale, CA
Experience using Python, Tcl, or Perl for automating design tasks and data analysis.
Added 9 hours ago
Sr. Staff SWE, Provisioning Platform
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Santa Clara, CA
Experience with Agentic AI, LLM-based workflows, tool calling, RAG, AI-assisted admin/developer experiences, or strong practical use of AI-assisted development tools; Python/FastAPI, Go,…
Added 9 hours ago
Senior Applied Scientist, Shopping Convo Foundations - Pre-purchases Science
Amazon
Santa Clara, CA
…expands Amazon's product catalogue. Our goal is to leverage AI/ML solutions to enhance catalogue coverage with high…
Added 9 hours ago
Staff Engineer, Design Verification
Micron Technology, Inc.
San Jose, CA
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate…
Added 9 hours ago
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Technical Delivery Manager, Installation & Maintenance
Legence
San Jose, CA
- $155,000 to $180,000 USD / year
…fullest sense: you'll spend real time in the codebase - designing solutions, writing code, reviewing pull requests, and shipping - while leading a team of engineers and serving as the…

Amazon

Software Development Engineer I, Inference models optimization, AWS Neuron Inference

Cupertino, CA, United States

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Job details

Posting language: English
Posted: Nov 11, 2026

Original job description

Description

The Annapurna Labs team at Amazon Web Services (AWS) builds the AWS Neuron SDK, the software development kit used to accelerate deep learning and GenAI workloads on AWS Trainium machine learning accelerators.

The Neuron Inference organization is at the forefront of optimizing inference performance for a wide range of ML models and model architectures on AWS's custom ML accelerators. We are working across the stack from PyTorch to the hardware-software boundary, our engineers build systematic infrastructure, develop high-performance kernels for ML functions, ensuring every compute unit is fine-tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration.

As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels through to compiler, runtime, and collectives. We not only optimize performance on open weight models but also contribute to future architecture designs and work closely with customers to enable optimal performance on their models. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology.

As a Software Engineer I, you will design and implement business-critical features and contribute to optimizing the performance of models on AWS Trainium end to end. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team also collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers.

This role is responsible for development, enablement, and performance tuning of a wide variety of LLM model families, including massive-scale large language models like GLM, Kimi, and beyond. The Model Enablement team works side by side with compiler engineers and runtime engineers to create, build, and tune distributed inference solutions with AWS Trainium.

You can learn more about Neuron:

https://awsdocs-neuron.readthedocs-hosted.com/en/latest/compiler/index.html
https://aws.amazon.com/machine-learning/neuron/
https://github.com/aws/aws-neuron-sdk
https://github.com/vllm-project/vllm-neuron
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success

If this sounds exciting to you - come build the future with us!

Key job responsibilities

Optimize open models to run best on Trainium, including optimizing sharding, developing NKI kernels and ensuring accuracy. This provides ready-to-serve models to our customers and also gives them a starting point to optimize their own.
Collaborate with cross-disciplinary teams that may include hardware design, firmware, compiler, runtime, and ML engineers to develop software that enables and optimizes custom ML accelerator silicon
Write clean, maintainable code (C/C++, Python, or Rust) following best practices for systems-level and performance-critical development
Participate in code reviews, contribute to technical documentation, and help deploy agentic tools to accelerate the enablement of new models on Trainium
Demonstrate operational excellence through monitoring, debugging, and resolving issues across hardware-software integration boundaries, including on-call responsibilities
Keep learning emerging technologies in ML accelerators, compiler optimization, computer architecture, and cloud-scale distributed systems

About the team

The Model Enablement team fosters a builder's culture where experimentation is encouraged and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects that help our team members develop their engineering expertise so they feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today.

Our team builds and operates software that powers key experiences for Amazon customers. We value technical excellence, collaboration, and a commitment to continuous improvement. Every engineer on the team has a voice in shaping our technical direction and the opportunity to mentor others.

We are focused on building reliable, scalable systems while creating an inclusive environment where engineers at all levels can learn, grow, and do their best work. If you want to solve meaningful problems alongside a supportive and motivated group of engineers, this is the place for you.

Basic Qualifications

Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
Currently has, or is in the process of obtaining, a Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields
Experience with any programming language such as Python, Java, C+Preferred Qualifications
Experience from previous technical internship(s) or demonstrated project experience
Experience with one or more of the following: compiler design or optimization, computer architecture, hardware simulation or emulation, ML frameworks (PyTorch, JAX), performance profiling and analysis, Linux kernel or embedded systems, AI tools for development productivity, cloud platforms (preferably AWS), version control systems
Strong problem-solving skills with ability to debug across hardware-software boundaries
Demonstrated ability to learn and adapt to new technologies quickly

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CA, Cupertino - 127,100.00 - 185,000.00 USD annually

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More about this job

Skills

Software development
AWS
PyTorch
ML
Machine learning
Design hardware
Firmware
C
C++
Python
Rust
Documentation
Debugging
Assign homework
Process improvement
Design principles
Computer science
Computer engineering
Electrical engineering
Oracle Java
Problem solving
Customer service
Recruitment
Mental health

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Work requirements

Jobs in the United States