Sr Sde C/c++ Hardware/software Co-design Machine jobs at Amazon in United States, Austin

Key job responsibilitiesSolve challenging technical problems, often ones not solved before, at every layer of the stack.
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
Build high-quality, highly available, always-on products.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.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.About AWSWork/Life Balance
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.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Strong background in database system internals and query processing fundamentals

- 2+ years of experience with query optimizer architectures, cost based optimizers in OLTP database engines

As a senior SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips.You will work with architecture, design and emulation teams to build new silicon functionality.You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC.
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.

* 5+ YoE in software development
* Knowledge of HW/SW interfaces and computer architecture
* Proficiency in programming in C/C++, scripting in Bash/Python
* Proficiency in data structures and algorithms

* Knowledge in low level software such as firmware and device drivers
* Knowledge in SoC architecture
* Knowledge in IO(PCIE, AXI) , Memory(HBM, DDR), CPU architecture and Interconnects.

The Trainium Manufacturing, Quality and Reliability (MQR) Team is part of AWS Annapurna Labs focused on Machine Learning products that designs cutting AI platforms for the world’s largest Cloud Services provider. As a Senior Reliability Engineer you will engage with an experienced cross-disciplinary staff to conceive and design infrastructure technologies. You will work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test in manufacturing. A successful candidate will be responsive, flexible and able to succeed within an open collaborative peer environment. You will:* Be responsible for the test validation of future technologies.
* Drive manufacturing process improvements to address reliability issues and concerns.
* Qualify manufacturing lines and mechanisms for mass production
* You will have a fundamental understanding of Reliability statistics/Reliability tests and/or solid understanding of computer systems to influence design for reliability.
* Lead identifying and validating product/component risks and work with design teams to mitigate them and define the test methodology and test coverage to assure product reliability.
* Deep-dive in technologies aligned with product roadmap.
* Provide technical leadership and mentor engineers.
* Perform Reliability prediction of failure mechanisms, products under development and products in the field.
* Working with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.Key job responsibilities
* Responsible for defining reliability tests to be implemented during manufacturing
* Drive manufacturing process improvements to address reliability issues and concerns.
* Perform Reliability prediction of failure mechanisms, products under development and products in the field.
* Working with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.

- Bachelor's or Master’s degree in Reliability Engineering, Physics or related field, or equivalent experience
- 7+ years of Reliability Engineering work experience with server compute platforms or on high-tech hardware

In this role you will be responsible for building and supporting a team which is critical in providing compute sanitization to the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for identifying defects or faulty states of the hardware before the customer hits an issue. Neuron Compute Sanitizer Tools develops and maintains a pre-check and functional correctness checking suite and provides visibility at the fleet level to understand the trends of hardware/software sanitization.Key job responsibilities
* Build and develop a strong team of engineers that would deliver the pre-check suite.
* Work closely with the hardware and firmware design teams.
* Collect requirements from various other teams including training, inference and runtime.
* Collaborate with the runtime team to ensure timely release of the pre-check tools.
* Anticipate future needs based on the product roadmap and develop necessary tools to sanitize compute.
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.
Work/Life Balance
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.
About AWS Utility Computing (UC):
About AWS
About AWS Neuron:

- 8+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment

- Experience designing and developing large scale, high-traffic applications
- Experience with ML hardware/Software

Utility Computing (UC)
About AWS
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.Work/Life BalanceMentorship & 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.Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.
Key job responsibilities
- integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing
- As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.
- Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.
- Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.
- Perform lint and clock domain crossing quality checks on the design.
You will thrive in this role if you:
- Are familiar with scripting in Python
- Are proficient with assertions
- Have good debug skills to analyze RTL test failures
- Have a "Learn and Be Curious" mindsetAbout the team
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

- BS degree in electrical engineering or equivalent
- 5+ years in RTL design for SOC
- 5+ years in VLSI engineering
- 5+ years with code quality tools including: Spyglass, LINT, or CDC

- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
- Familiarity with data path design, interconnects, AXI protocol
- Good analytical, problem solving, and communication skills

As a Solutions Architect at AWS, you’ll build technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey.You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging, mission-critical projects.Internally, you will be the voice of the customer, sharing their needs and wants to inform the roadmap of AWS features.
You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).
A day in the life
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 Balance

· Background in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps
· Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience.
· Fluent written and verbal communication skills in English
· A passion for technology and for learning

· Experience designing, building, refactoring or operating large scale and impactful IT systems - either on premises or in the cloud
· Working knowledge of cloud native architectures
· Knowledge of a modern programming language (Python, JavaScript, Go, .Net, Java, etc.) and/or scripting, Infrastructure as Code etc.
· In-depth working knowledge in a technology domain such as distributed internet-scale web or mobile applications, DevOps, Serverless, Big Data, Analytics, Machine Learning, enterprise workloads (SAP, VMware, Windows etc.), high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads etc.
· Experience working in a customer-facing role or a role which involved public speaking
· AWS certification (e.g. AWS Solutions Architect Associate or Professional) or other industry certification
· Fluent written and verbal communication skills in Swedish

This position can be located in Austin, Seattle, or Arlington (DC).**Must be open to travel at least 30% including international**Key job responsibilities
- Develop solutions that make the best use of the AWS services like AWS EC2, EKS, ECS, SageMaker and other computing platform for GenAI practice.- Provide one-to-few and one-to-many training sessions to transfer knowledge to builder considering or already using AWS.- Build deep relationships with senior technical individuals within partners to enable them to be cloud advocates.- Be able to develop proof-of-concepts for solutions involving AWS services.
- Driving product integrations between partner products and AWS services
- Proving thought leadership in the form of publishing blog posts, public speaking, white papers and reference architecturesA day in the life
- Building and testing a Proof of Concept (PoC) or create a code sample.- Writing a blog post or white paper.
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 GrowthWe’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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Recent and demonstrable hands-on experience with AI/ML workloads.

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of AWS services, market segments, customer base and industry verticals
- Experience working with end user or developer communities