דרושים Hardware Dev Engineer Ii Engineering Services ב-אמזון ב-United States, Cupertino

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

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

In-house designed SoCs (System on Chips) are the brains and brawn behind AWS’s Machine Learning Acceleration servers, TRN and INF. Our team builds functional models of these ML accelerator chips to speed up SoC verification and system software development. We’re looking for a Hardware Simulator SDE to join the team and develop new C++ models of the SoC, infrastructure, and tooling for our customers.
As part of the ML acceleration modeling team, you will:
- Develop and own SoC functional models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug- Innovate on the tooling you provide to customers, making it easier for them to use our SoC models
- Drive model and modeling infrastructure performance improvements to help our models scale
- Develop software which can be maintained, improved upon, documented, tested, and reused
Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world, with many subsystems that must all be modeled and tested with high quality. Our SoC model is a critical piece of software used in both our SoC development process and by our partner software teams. You’ll collaborate with many internal customers who depend on your models to be effective themselves, and you'll work closely with these teams to push the boundaries of how we're using modeling to build successful products.You will thrive in this role if you:
- Are interested in functional modeling or have background in modeling hardware like SoCs, ASICs, TPUs, GPUs, or CPUs
- Are comfortable using C++ with OOP principlesAlthough we are building ML SoC models, no machine learning background is needed for this role. You’ll be able to ramp up on ML as part of this role, and any ML knowledge that’s required can be learned on-the-job.

- Currently enrolled in a Bachelor’s degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with a graduation conferral date between December 2022 and September 2025
- Experience programming with C++ using OOP
- Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture

- Experience writing functional models of hardware, SoCs, ASICs, etc.
- Experience with the full software development life cycle, including coding standards, code reviews, source control management, build processes, and testing
- Familiarity with modern C++ (11, 14, etc.)
- Experience with PyTest or GoogleTest

Key job responsibilities
You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and Inferentia, as well as Trn2, Trn1, Inf1, and Inf2 servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role.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.

- 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

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, Trainium Systems (our custom designed machine learning inference and training datacenter servers). 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 Physical Design Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.Key job responsibilities
- Work with RTL/logic designers to drive architectural feasibility studies, explore power-performance-area tradeoffs for physical design closure
- Drive IO/Core block physical implementation through synthesis, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, ECO and sign-off
- Develop physical design methodologies
- Evaluate 3rd party IP and provide recommendations

- BS + 8yrs or MS + 6yrs in EE/CS
- 6+ years in ASIC Physical Design from - RTL-to-GDSII in either 7nm, 14/16nm, 20nm, or 28nm
- Block Design using EDA tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) including synthesis, equivalency verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO
- Deep understanding on sign-off activities (timing, ir/em, physical verification)
- Scripting experience with Tcl, Perl or Python

- Expertise using CAD tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) develop flows for synthesis, formal verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO
- 4+ years in integrating IP and ability to specify and drive IP requirements in the physical domain.
- Thorough knowledge of device physics, custom/semi-custom implementation techniques
- Experience solving physical design challenges across various technologies such as DDR, PCIe, fabrics etc.
- Experience in extraction of design parameters, QOR metrics, and analyzing trends
- Ability to provide mentorship, guidance to junior engineers and be a very effective team player
- Meets/exceeds Amazon’s leadership principles requirements for this role
- Meets/exceeds Amazon’s functional/technical depth and complexity for this role

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.The ideal candidate is a strong hardware board designer with Ethernet networking experience in the areas of terabit switch fabrics, 10/40/100 gigabit interfaces, embedded CPU subsystems, and network processors. Previous experience in defining and designing modular chassis based products is required. Must have previous experience working with Asian ODM and JDM partners, both in development and in manufacturing.You will have previous experience in high speed digital design as a design lead in the networking field. This includes architectural definition, specification, key component selection, detailed design, working closely with PCB designers, testing, and transition to manufacturing. Applying skills in simulation, timing analysis, thermal analysis, and EMC is expected.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.Work/Life BalanceMentorship 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.

- Experience in developing functional specifications, design verification plans and functional test procedures
- Experience in motherboard design, PCB design including schematic capture, stackup and circuit board layout
- BSEE with 10+ years experience in hardware board and systems development, must have taken products from concept to mass production
- Recent 5+ years experience with Ethernet switching fabrics, Ethernet PHY and SerDes interfaces, embedded CPU subsytems, DDR2/DDR3/DDR4 memory design, network processors, I2C, USB
- Experience with high-speed PCB design and AC/DC PI
- Recent 5+ years of experience in CPLD/FPGA design using VHDL or Verilog
- Experience troubleshooting with oscilloscopes, logic analyzers, and specialized test equipment such as PCI analyzers and in-circuit-emulators
- Good verbal and written communication skills, must be organized
- Experience as a project and technical lead, program management skills is a must
- Experience interfacing with cross functional teams such mechanical engineers, HW engineers, SI engineers, diagnostic engineers, and manufacturing engineers
- Experienced interfacing with outside vendors and developers, particularly Asian CMs and Asian ODM/JDM partners
- While position is based in Cupertino, candidate should be able to accommodate up to 10% travel to both Seattle and Asia. Candidate must be able to enter both Taiwan and China without visa issues.

As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.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.

- Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level.
- Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, Single-ended signal and parallel bus interfaces. * Work with ODMs, IP Silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and resolving issues.
- Hands-on lab equipment skills (VNA, Realtime scope, Sampling scope and its accessories) for electrical validation and characterization.
- Scripting skills to automate tests, logs parsing and data collection.
- Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization.