Elm Project Manager Dbx Design Building Excellence jobs at Amazon in United States, Austin

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.

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

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
Key job responsibilities
The successful candidate will be operationally responsible for a Data Center. Some high-level responsibilities include:
- Prioritize and assign trouble tickets to data center technicians and operators
- Recruit and train data technicians to ensure appropriate staffing levels
- Ensure effective and efficient management of day to day data center operations including queue management, 7/24 shift arrangement and hardware logistics
- Fast learn or act as the subject matter expert across all aspects in data center operations
- Ensure all operational KPIs and metrics are being measured and met- Manage Large Scale Events (outages) and act as the call leader
- Manage and improve the work-flows and through-put for data centers operations
- Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs
- Maintain the on-call schedule coordinating absence and vacationsDiverse 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

- 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent
- 2+ years of experience managing people in a technical environment.
- 2+ years experience in participating in on-call rotations, and providing after-hours support in an environment that operates 24/7, Networking and Computer Hardware.

- Experience in technical writing in a relevant field
- Experience in project management
- In-depth knowledge of Linux systems administration, Networking and Cabling best practices
- In-depth hardware architectures knowledge and troubleshooting experience, system management tools and client/server environments

We’re searching for an experienced Circuit Design & Analysis engineer with a background in custom circuit design & analysis, system level thermal & power analysis with a proven track record of handling challenges at scale. In this role, you’ll be working directly with product engineers, signal & power integrity engineers and physical design experts - defining best practices, driving correlation of pre-silicon simulation of thermal & power integrity to post silicon analysis and developing custom circuits that help raise the bar in implementing state-of-the-art machine learning hardware.Key job responsibilities
- Design and implement custom cells / IP.
- Develop & run characterization flows for custom cells / IP developed.
- Own integration & post-silicon qualification of IPs like PLL, PCIE, UCIE, HBM, sensors/monitors.
- Develop scripts to automate running analysis and collect reports.
- Develop test-plan and perform measurements in the lab to correlate with simulation data.
A day in the life
Depending on the state of the project, you may find yourself working on the following:- Evaluate IPs (like sensors, process monitors) from a 3rd party
- Develop an characterize custom IPs like ganged buffers, custom logic cells for specialized operations (like MACs)
- Work with designers and architects to identify pain-points and areas where custom solutions can improve PPAS
- Do post-silicon quality checks for key IP like PLLs, UCIE/PCIE, HBM
- Do post-silicon power measurements of jitter, sensor calibration, power and correlate with simulationWork/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 + 8yrs or MS + 6yrs or PhD + 3yr in EE/CS
- Expertise on circuit level analysis using tools like SPICE / SPECTRE
- Expertise in interconnect & transistor fundamentals in deep sub-micron processes
- Understanding of ASIC Physical Design from RTL-to-GDSII
- Understanding of other sign-off activities (ir/em, physical verification, timing closure, DFT)
- 3+ years of scripting experience with Tcl, Perl or Python

As an 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.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 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