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AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine
Key job responsibilities
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:
Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.
- 5+ years of non-internship professional software development experience
- 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.
- Experience programming with at least one software programming language
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Masters degree in computer science or equivalent
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Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
As a senior systems development engineer, you will work with a wide variety of functional groups and will be involved in the design and implementation of software systems for phased array antennas validation and test, as well as overall system integration:- Develop tools for characterizing antenna RF and system performance.
- Develop software and test rack automation to support production test stations.
- Support electrical and software bring-up, debug of new hardware.- Plan, develop and implement environmental test activities for phased array antennas.
- Implement DSP FPGA firmware to map high-level algorithms from Matlab or C to architecture-specific code.
- BS or MS in electrical engineering, computer engineering or computer science, or equivalent experience
- 5+ years of experience with C/C++ and Python or other scripting languages. Experience automating, building, and testing systems
- Experience with HW/SW bring up and debugging
- Experience working in a hardware lab with oscilloscopes, signal generators, power supplies, and other test equipment
- Solid fundamental CS / EE skill set with hands-on industry or university experience in embedded software development
- Knowledge of FPGA systems, GPIO/I2C/SPI and peripheral interfacing.
- Experience with RTL and FPGA development tools
- Experience with Matlab or tools alike
- Knowledge of Database systems

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Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceKey job responsibilities
Building relationships to understand our customers and partners is key. As a trusted technical advisor, you’ll use your interpersonal skills to influence a variety of stakeholders from technical teams to executives. You’ll help ensure their short-term technology decisions are aligned with their long-term goals. Speeding up the adoption of our services will be part of your day to day.You’ll also act as thought leader in the wider community. This includes taking part in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. You won’t just be part of an industry movement; you’ll be leading it.A day in the life
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple customers, and you will collaborate with them on designing and operating well-architected solutions. You will earn their trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you’ll craft highly scalable, flexible, and resilient cloud architectures that address our customers’ business problems. As part of our team, you’ll have the opportunity to continuously learn and innovate daily.
- Bachelor's degree
- Experience in design, implementation, or consulting in applications and infrastructures
- Background in any other following or related to Technology Architect, Consultant, Cloud Architect, Technical Lead, Engineering Lead, Systems Engineer etc.
- Experience and/or deeper understanding in one or more technology areas. Specific knowledge in multiple technology domain areas (e.g., software development/architecture, systems engineering, infrastructure, containers, databases, security, networking, data & analytics, AI/ML, GenAI).
- Have worked on design, development, implementation, or consulting applications / platforms in their prior experience
- Can create proof of concepts, demos, and/or scripts from scratch or leveraging reusable components.
- Understands and can articulate common architectural patterns and design principles.
- Able to create technical content that is easily adopted and reusable by others.
- Fluent communication skills.
- Knowledge of AWS services
- Experience architecting, migrating or transforming customer requirements to the cloud
- Professional experience architecting / operating solutions built on AWS or other cloud technology
- Experience migrating or transforming legacy customer solutions and/or applications to the cloud
- One or more AWS certifications, e.g. AWS Solutions Architect Professional
- Able to present to technical and business audiences (training, workshops, publications)
- 4 years’ experience as a Solution Architect or related role.

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As a Principal Investment Manager within AWS, you will work with venture capital firms (or angel investors) to accelerate portfolio company success. You'll work closely with key investors to unlock the full potential of their portfolio companies on AWS, enabling faster innovation and scaling. Your role focuses on creating meaningful initiatives between the investors, helping startups leverage cloud to achieve breakthrough growth. You'll combine deep technical understanding of cloud and emerging technologies, such as generative AI with business acumen to identify opportunities and ensure startups have access to the tools, expertise, and support needed to build world-changing products on AWS infrastructure.Key job responsibilities
Design and implement solutions that address specific startup and investor needsTrack program effectiveness and provide insights based on feedback and resultsAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- 10+ years of experience in technology industry with focus on startups, ideally in combination with technical leadership roles
- Deep understanding of cloud computing architectures, services, and best practices and knowledge of generative AI technologies
- Ability to evaluate and guide early-stage and scaling companies
- Demonstrated success developing and executing business initiatives that drive measurable outcomes
- Bachelor's degree in technical or technical management field or equivalent experience
- Advanced degree (MBA or technical)
- Leadership experience at startups or at Venture Capital firms
- Experience building and scaling cloud-native applications from ground-up
- Strong analytical and technical assessment capabilities
- Experience with commercial aspects of fast-growing technical businesses
- Demonstrated ability to understand and evaluate emerging technologies
- Experience in multiple technical domains (AI/ML, Security, Infrastructure)

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You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required.Work/Life Balance
Mentorship & Career Growth
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science or equivalent

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Key job responsibilities
• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline
A day in the life
You will experience a typical day of DCO in Amazon with
• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issuesReasons you will love working in an Amazon Data Center:
• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?Inclusive Team CultureMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
- 1+ years of computer hardware experience, including troubleshooting and repairing experience
- Bachelor's degree in IT, computer science or equivalent
- Knowledge of network cabling, optic types, and test equipment
- 1+ years of data center experience
- Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
- Experience summarizing and communicating important data

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You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.What you will do: As a member of the AWS Board Core Design & Services team, you will own next-generation server components with a strong focus on digital circuit board design and signal integrity. You will have demonstrated results in the architecture and development of high-speed, complex PCB designs for server components, including motherboards, graphics, accelerators, and programmable hardware. Your expertise in signal integrity analysis and advanced PCB design techniques will be crucial for optimizing high-speed interfaces and ensuring robust system performance. You will interact with an interdisciplinary team of engineers to design, develop, validate, and launch at large scale.Why it matters: Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS creates a unique opportunity for differentiated hardware that will directly benefit customers.Why you will love it: You will build next-generation hardware that powers the cloud. You will deliver improvements for our customers and have a direct impact on our bottom line. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work.Key job responsibilities
As a member of the AWS Board Core Design & Services team, you will own next-generation server components with a strong focus on digital circuit board design and signal integrity. You will have demonstrated results in the architecture and development of high-speed, complex PCB designs for server components, including motherboards, graphics, accelerators, and programmable hardware. Your expertise in signal integrity analysis and advanced PCB design techniques will be crucial for optimizing high-speed interfaces and ensuring robust system performance. You will interact with an interdisciplinary team of engineers to design, develop, validate, and launch at large scale.A day in the life
Utility Computing (UC)Work/Life Balance
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
- BS Electrical/Computer Engineering (or equivalent experience)
- 5+ years of hands-on experience with high-speed PCB design, including signal integrity analysis and optimization
- Strong proficiency in PCB design tools (Allegro, CAM350, or equivalent) with demonstrated ability to perform detailed PCB reviews
- 5+ years of experience in high-speed interface design (DDR, PCIe, USB, etc.) with emphasis on signal integrity
- Proven track record in impedance control, stack-up design, and power integrity optimization
- 5+ years of experience in board root cause analysis and resolution, particularly focusing on signal integrity issues
- Experience with flash, I2C, SPI, UART, and ethernet interfaces
- Master's degree in electrical engineering, computer engineering, or equivalent
- 7+ years of experience in server design for cloud or enterprise applications
- Advanced expertise in:
- High-speed PCB design and signal integrity analysis
- Complex motherboard and peripheral component design
- Multi-layer PCB stack-up optimization
- Advanced routing techniques for high-speed interfaces
- EMI/EMC compliance and design considerations
- Power delivery network (PDN) design and analysis
- Proficiency with signal integrity simulation tools (Ansys, Cadence Sigrity, or similar)
- Experience in designing for reuse across multiple products
- Advanced knowledge of server technologies including:
- Signal integrity optimization techniques
- Power optimization
- Thermal considerations
- Mechanical constraints in PCB design
- BIOS and BMC integration
- High-speed networking interfaces
- Experience with impedance-controlled board design and manufacturing processes
- Strong expertise in component selection considering signal integrity requirements
- Experience in design for large scale applications with emphasis on signal integrity
- Experience working with interdisciplinary teams to execute complex PCB designs from concept to production

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AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine
Key job responsibilities
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:
Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.
- 5+ years of non-internship professional software development experience
- 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.
- Experience programming with at least one software programming language
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Masters degree in computer science or equivalent
These jobs might be a good fit