Cnc Machine Operator jobs in United States, California, Cupertino

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
In this role you'll develop, design, maintain, deploy, monitor and support a very important component in the Nitro firmware, while enjoying every step of the journey.About the team
*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.
*Why AWS*Work/Life Balance*Inclusive Team Culture*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.

- 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

This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use.Experience in object-oriented languages like C++/Java is a must, experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required.
Key job responsibilities
You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler’s performance, stability and user-interface. You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy state of the art ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to work with open-source software (e.g., StableHLO, OpenXLA, MLIR) to pioneer optimizing advanced ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers – developers across the globe.A day in the life
As you design and code solutions to help our team drive efficiencies in compiler architecture, you’ll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. You’ll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon wide teams) and external stakeholders (open-source communities). Lastly, 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.

- 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

- Master's degree or PhD in Computer Science, or a related technical field.
- 3+ years of experience writing production grade code in object-oriented languages such as C++/Java.
- Experience in compiler design for CPU/GPU/Vector engines/ML-accelerators.
- Experience with OpenSource compiler toolset like LLVM/MLIR.
- Experience with the following technologies: PyTorch, OpenXLA, StableHLO, JAX, TVM, deep learning models, and algorithms.
- Experience with modern build systems like Bazel/CMake.

We are seeking an experienced Senior Substrate CAD layout Engineer for the next generation of our ML ASIC. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly 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.As a Substrate/PCB layout engineer, you will participate in the definition and implementation of substrate and PCB boards. This individual will contribute in all phases of the product’s design, including placement, routing, constraint table management, and drafting. You must bring a combination of Substrate/PCB design, assembly, test and fabrication knowledge, cross team functional interdependence, and demonstrable design process experience to the position. In this role you will:
- Work with fabrication vendors to supply data and seek fabrication design requirements
- Work with assembly vendors to supply data and seek assembly design requirements
- Deliver best in class Substrate/PCB design to high-volume manufacturing
- Assist as necessary in schematic and PCB footprint development
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.

- B.S. in Electrical Engineering or related field
- 7+ years of experience of PCB layout design
- 7+ years of current experience using Cadence Allegro PCB Design/CIS
- 7+ years of current experience using Cadence SIP and APD
- 7+ years of experience with high speed and impedance circuits
- 7+ years of experience with compact, dual side assembly design
- Experience with HDI design
- Experience with BGA pitch of equal or less than 0.5mm

- M.S. in Electrical Engineering or related field
- 15+ years’ experience of PCB layout design
- 10+ years of current experience using Cadence APD, SIP and Allegro PCB Design/CIS
- Proven track record to design & manage all aspects of the printed board design
- Ability to collaborate and communicate with all cross functional teams and external customers.
- Ability to reduce risk of fabrication/assembly/test with a thorough knowledge in each area and taking preventative action early in the design phase to make this a reality
- Ability to debug schematic net-list-in errors
- Ability to develop Allegro scripts or writing in Cadence Skill

As an Applied Scientist, you will design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level.* Analyze data and identify the gaps in existing solutions, and propose innovative science solutions.* Contribute to research papers that are published at peer-reviewed internal and/or external venues, and
* Working with teams worldwide on global projects.
* Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

As a Sr. SDE, Chip Validation Ops, you will design and implement software systems to monitor, test, and improve silicon quality across our fleet. Build scalable solutions for tracking component performance and automating quality inspection processes.Key job responsibilities
-Develop and maintain systems to track silicon part quality metrics
-Create and scale functional, performance, logic and electrical tests
-Design and scale automated inspection mechanisms for quality control
-Collaborate with hardware teams to define test requirements and specificationsWork/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.

-Bachelor's degree in Computer Science, Computer Engineering, or related field
-8+ years of chip design and/or embedded development experience
-Experience with test automation and continuous integration
-Knowledge of semiconductor testing methodologies
-Proficiency in one or more programming languages (C++, Python, Java)
-Experience with large-scale distributed systems

-Knowledge of hardware description languages (Verilog, VHDL)
-Background in test development for semiconductor devices
-Experience with statistical analysis and data visualization
-Familiarity with hardware debugging tools

You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best in class professionals.

- 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
- Experience as a mentor, tech lead or leading an engineering team

- 5+ 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