asic design engineer, cloud-scale machine learning acceleration team Jobs in Cupertino United States

asic design engineer, cloud-scale machine learning acceleration team

firmware engineer, annapurna labs, ml acceleration - performance instrumentation & developer tools Jobs in Cupertino United States

firmware engineer, annapurna labs, ml acceleration - performance instrumentation & developer tools

sr. asic design engineer, cloud-scale machine learning acceleration team Jobs in Cupertino United States

sr. asic design engineer, cloud-scale machine learning acceleration team

asic design engineer cloud scale machine learning acceleration team

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Utility Computing (UC) 
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. 
 
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago&mdash;even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. 
 
About AWS 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;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&rsquo;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&rsquo;re handling massive scale and rapid integration of emergent technologies. We&rsquo;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 
<ul><li>integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing</li><li>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.</li><li>Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.</li><li>Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.</li><li>Perform lint and clock domain crossing quality checks on the design.</li></ul>
- Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks. 
 
You will thrive in this role if you: 
<ul><li>Are familiar with scripting in Python</li><li>Are proficient with assertions</li><li>Have good debug skills to analyze RTL test failures</li><li>Have a &quot;Learn and Be Curious&quot; mindset</li></ul> 
About 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&rsquo;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&rsquo;re handling massive scale and rapid integration of emergent technologies. We&rsquo;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. 
 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>BS degree in electrical engineering or equivalent</li><li>3+ years in RTL design for SOC</li><li>3+ years of VLSI engineering</li><li>3+ years with code quality tools including: Spyglass, LINT, or CDC</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience scripting for automation (e.g., Python, Perl, Ruby)</li><li>Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints</li><li>Familiarity with data path design, interconnects, AXI protocol</li><li>Good analytical, problem solving, and communication skills</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,800/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Utility Computing (UC) 
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. 
 
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago&mdash;even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. 
 
About AWS 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;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&rsquo;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&rsquo;re handling massive scale and rapid integration of emergent technologies. We&rsquo;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 
<ul><li>integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing</li><li>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.</li><li>Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.</li><li>Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.</li><li>Perform lint and clock domain crossing quality checks on the design.</li></ul>
- Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks. 
 
You will thrive in this role if you: 
<ul><li>Are familiar with scripting in Python</li><li>Are proficient with assertions</li><li>Have good debug skills to analyze RTL test failures</li><li>Have a &quot;Learn and Be Curious&quot; mindset</li></ul> 
About 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&rsquo;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&rsquo;re handling massive scale and rapid integration of emergent technologies. We&rsquo;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. 
 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in electrical engineering or equivalent</li><li>5+ years in RTL design for SOC</li><li>5+ years of VLSI engineering</li><li>5+ years with code quality tools including: Spyglass, LINT, or CDC</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree in electrical engineering, computer engineering, or equivalent</li><li>Experience scripting for automation (e.g., Python, Perl, Ruby)</li><li>Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints</li><li>Familiarity with data path design, interconnects, AXI protocol</li><li>Good analytical, problem solving, and communication skills</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
What if you could help build something that's never existed before? At Annapurna Labs, an Amazon company, we're not just participating in the AI revolution &ndash; we're accelerating it. We design custom silicon and revolutionary software systems that were considered impossible just yesterday, powering the world's most advanced AI infrastructure at AWS. From training the largest language models on Earth to developing breakthrough ML accelerator chips, we're inventing the future of cloud computing. 
 
We're seeking bold innovators and builders for our 2026 Early Career roles. This isn't your typical early career role - at Annapurna Labs, you'll work on projects that directly impact millions of AWS customers worldwide, tackling real technical challenges that push the boundaries of what's possible in AI acceleration. Our program offers multiple technical tracks, matching your skills and interests with projects across our organization.
 
 
Want to architect next-generation AI chips that process billions of parameters? Build distributed systems that scale across thousands of accelerators? Create compiler optimizations that make ML training blazingly fast? Whether your passion lies in hardware design, distributed systems, compiler development, or ML infrastructure, we'll help you find your perfect fit and make meaningful contributions from day one. 
 
Some of our technical tracks include: 
 
ML Systems &amp; Compilers 
<ul><li>Framework Optimization (PyTorch, JAX)</li><li>Compiler Development &amp; Optimization</li><li>Distributed Training Systems</li><li>Performance Engineering</li><li>ML Infrastructure Development</li></ul> 
Systems Software &amp; Infrastructure 
<ul><li>Firmware &amp; Driver Development</li><li>Runtime Systems</li><li>Fleet Management &amp; Automation</li><li>Hardware/Software Integration</li><li>Performance Analysis Tools</li></ul> 
Silicon Innovation &amp; Design 
<ul><li>RTL Development for ML Accelerators</li><li>Hardware Architecture &amp; Modeling</li><li>Physical Design &amp; Power Optimization</li><li>Custom Circuit Design</li><li>Pre/Post Silicon Validation</li></ul> 
Your placement will be determined through our interview process, taking into account your technical background, interests, and the exciting projects we have in development. One application opens the door to all these opportunities, so we'll work together to find where you can learn the most and have the biggest impact.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming languages such as C/C++, Python, Java or Perl</li><li>Recent or upcoming graduate (within 12 months) with BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical field</li><li>Experience in two or more of the following areas: 1. Hardware design (RTL, Verilog, FPGA development) 2. Systems programming or low-level software development 3. Compiler design or optimization 4. Machine learning frameworks (PyTorch, JAX, TensorFlow) 5. Distributed systems or parallel computing 6. Performance analysis and optimization</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Previous industry, internship, research, or project experience in hardware/software co-design, ML systems, or computer architecture</li><li>Contributions to open-source projects or research publications</li><li>Completed or currently enrolled in coursework covering machine learning, parallel computing, computer architecture and/or compiler construction</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

2026 Annapurna Labs at AWS, Early Career (US) - Silicon & AI Systems Innovation

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Utility Computing (UC) provides product Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago&mdash;even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. 
 
We are seeking a Senior Firmware Engineer to join our Power Architecture team, developing firmware algorithms for power and performance management on ML Acceleration Chips. In this role, you will design and implement intelligent control algorithms, optimization strategies, and real-time decision-making systems that maximize performance while managing power and thermal constraints. 
 
You will develop sophisticated firmware that monitors system state, makes dynamic trade-offs between power and performance, and implements adaptive control policies. To enable this work, you will also build instrumentation and tracing capabilities that provide the telemetry needed to develop, tune, and validate your algorithms, with collected data optionally post-processed using cloud-based analytics. 
 
Key job responsibilities 
<ul><li>Design and implement firmware algorithms for power management, thermal control, and performance optimization on ML acceleration hardware</li><li>Develop real-time control policies and state machines that dynamically balance power, thermal, and performance constraints</li><li>Create optimization algorithms for resource allocation, frequency/voltage scaling, and workload scheduling</li><li>Implement efficient data structures and algorithms suitable for embedded, resource-constrained environments</li><li>Design and implement on-device tracing and telemetry collection systems to support algorithm development and validation</li><li>Build developer tools and data pipelines for metric collection, analysis, and visualization of algorithm behavior</li><li>Implement low-overhead instrumentation that minimizes impact on workload performance</li><li>Collaborate with hardware architects to understand hardware capabilities and identify optimal instrumentation points</li><li>Develop automated testing and validation workflows; integrate with optional cloud-based analytics pipelines</li><li>Own firmware code quality through rigorous testing, debugging, and validation on hardware</li></ul> 
A day in the life 
You will work closely with power architects and hardware teams to understand silicon capabilities, implement low-level control mechanisms, and create the algorithms and tooling that deliver optimal system behavior. 
 
This position is ideal for firmware engineers who enjoy solving algorithmic challenges in resource-constrained environments, working close to hardware, and building systems that intelligently manage complex trade-offs in real-time. 
 
About the team 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. 
 
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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
About AWS 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of software development, or 3+ years of software development experience</li><li>Bachelor's degree in computer science, electrical engineering, or related field</li><li>Strong firmware or embedded systems development experience</li><li>Proficiency in C/C++ for systems programming with strong foundation in algorithms and data structures</li><li>Experience implementing efficient algorithms in resource-constrained, real-time environments</li><li>Experience with hardware interfaces, instrumentation, or performance monitoring</li><li>Strong debugging skills with hardware-software systems</li><li>Experience building developer tools or instrumentation frameworks</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience developing control algorithms, optimization algorithms, or state machines in firmware</li><li>Experience with power management algorithms, thermal control policies, or dynamic performance optimization</li><li>Background in tracing frameworks, telemetry systems, or performance analysis</li><li>Understanding of algorithmic complexity and optimization techniques for embedded systems</li><li>Familiarity with hardware performance counters, on-chip monitoring, or hardware debug interfaces</li><li>Experience with data collection pipelines and scripting (Python, shell) for algorithm validation</li><li>Understanding of ML training/inference workloads and their performance characteristics</li><li>Takes strong ownership, works effectively in ambiguous situations, demonstrates a bias for action while consistently delivering impactful results</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Firmware Engineer, Annapurna Labs, ML Acceleration - Performance Instrumentation & Developer Tools

Apple

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
AIML creates state-of-the-art machine learning and AI technologies for Apple products and services. As part of AIML, the Communications Design team crafts a range of experiences to inform and encourage collaboration and innovation across Apple. 
 
Communications Design works directly with the researchers, engineers, strategists, leaders, and fellow creatives to set the standards for AIML communications through clear, useful, and alluring storytelling - from concept to delivery. 
 
Description 
 
Apple is seeking an experienced visual designer to join the AIML Communications Design team. In this role, you&rsquo;ll design strategic communication for web, email, and contribute to UI/UX design for the team. You&rsquo;ll also help shape the creative strategy, and design the experiences and content for in-person and virtual events, meetings, and conferences at Apple and around the world. 
 
Responsibilities include developing and presenting concepts, iterating and refining options for creative review, and executing finished designs. 
 
We&rsquo;re looking for a curious, inventive designer that uses the latest tools and technology to quickly turn complex ideas into simplified and beautiful creative solutions. The ideal candidate is an influential creative voice that helps moves the work forward by brainstorming, coordinating, and collaborating to bring people together. We&rsquo;re seeking a designer who cares deeply about the details and getting them just right every time - someone who will be a creative and positive force on the team. 
 
Preferred Qualifications 
 
Experience designing user interfaces 
 
Experience with Apple Human Interface Guidelines 
 
Experience creating motion graphics 
 
Minimum Qualifications 
 
Must provide link to portfolio that demonstrates strong concepts and execution 
 
7+ years in a professional design/creative environment 
 
Deep understanding of visual storytelling across platforms and formats 
 
Mastery of Keynote, Illustrator, Photoshop, and Sketch 
 
Strong knowledge of good design principles, typography, and layout 
 
Creativity in concept development and problem solving 
 
Exceptional attention to the details 
 
Experience presenting creative concepts to senior leaders 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

AIML - Visual Designer

Worldwide Events and Experiences brings the best of Apple to life, showcasing our products, services and the values that drive our company. From global product launches and tailored creator experiences to impactful partner engagements and inspiring internal events, this team is charged with managing the end-to-end planning, production, in person experiences and all the unique details that make these events special. The team includes professionals with backgrounds in event design, management, operations, broadcast, and production. We&rsquo;re looking for inventive and collaborative people from a variety of creative fields. If that&rsquo;s you, then your next home may be here! 
 
The Worldwide Events Team is seeking a well-rounded and highly creative Event Experiential Designer to support our Design &amp; Fabrication team. This Team works with several teams across the company to bring Apple&rsquo;s iconic brand and products to life for audiences around the world. From new product launches and keynotes to live productions and hands on experiences, the Design &amp; Fabrication team is responsible for fostering design throughout the entire guest journey. 
 
Description 
 
As an Event Experiential Designer, you&rsquo;ll collaborate with the team to conceptualize and develop bespoke fixtures, spatial layouts, and experiential activations from start to finish. We&rsquo;re seeking an energetic, driven, passionate, and enthusiastic individual who can excel in their role. 
 
&quot;,&quot;responsibilities&quot;:&quot;Stay up to date on emerging new trends in events, social, and brand activations to contribute to brainstorms and concept ideation. 
 
Gather inspiration images, create mood boards, and help to build out presentation-ready decks. 
 
Support creating compelling layouts &amp; floor plans that consider the entire guest journey from start to finish. 
 
Conceptualize and create to-scale elevations &amp; 3D renders based on an event brief. 
 
Research and specify new furniture and materials for long-term and immediate event needs. 
 
Collaborate with multiple internal partners and vendors from design-to-build fabrication and scenic implementation for events and filmed projects. 
 
Contribute to ongoing meetings with key vendor partners and cross-functional partners and follow up with action items. 
 
Assist in creating presentation decks for leadership that convey concepts and have a strong point of view. 
 
Preferred Qualifications 
 
A background in design, experience in space planning and furniture selection depending on the overall brief and event aesthetic. 
 
An understanding of the content creator audience and what makes a space engaging and fit for content capture. 
 
Proficiency in the Adobe suite and have the ability to edit and enhance your renders using tools like Photoshop. 
 
Strong collaboration and communication skills. 
 
Ability to visually communicate your ideas through slides and presentations. 
 
Attention to detail. 
 
Strong organizational skills and the ability to handle ambiguity with grace. 
 
Experience in reading and laying out 2D CAD floor plans and the ability to understand scale and space. 
 
Willing to travel both domestic &amp; international and be on-site event and load-in/out over weekends, as needed. 
 
You understand the fixture and scenic fabrication process and have the ability to value engineer design and material specifications to honor budgets. 
 
You are comfortable with working in a fast-paced environment with tight deadlines, and are able to communicate timelines across various deliverables both internally and externally. 
 
Minimum Qualifications 
 
4+ years experience within a top creative agency environment and/ or high-end fabrication and production company. 
 
Experience in SketchUp, Rhino and/or other 3D modeling &amp; rendering tools to create realistic renders for visualization. 
 
Proficiency in Mac, Keynote, Numbers and other collaboration tools. 
 
A portfolio with previous projects and work samples. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

3D Event Experiential Designer

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 
 
The people here at Apple don&rsquo;t just build products - they craft the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Description 
 
In this highly visible role, you will have the opportunity to make a significant impact on Apple Products and leave a footprint for years to come. We have an opportunity for an accomplished quality engineer to lead development, and ramp for a next generation Apple product. Our quality engineering team enables the mass creation of impossible products as a partner in the development of Apple's renowned designs. 
 
KEY RESPONSIBILITIES WILL INCLUDE: 
 
Partner with multi-functional teams to evaluate design and processes at the concept phase 
 
Develop measurement technologies, control strategies, information systems, and manufacturing methods that achieve ambitious specifications at massive production scale 
 
Develop and implement groundbreaking quality inspection tools to evaluate cosmetic and dimensional part characteristics 
 
Compile and evaluate data to figure out appropriate limits and variables for process and part specifications 
 
Work with internal and external groups to ensure that proper definition of quality expectations and that appropriate assurance techniques are used for the product 
 
Coordinate all Quality Engineering functions for a program, serving as project manager to lead efforts at supplier locations 
 
Establish audit procedures appropriate to program and supplier to ensure consistency to Apple quality standards 
 
Drive corrective actions multi-functionally with internal and external team members 
 
Preferred Qualifications 
 
Experience developing process quality plans, supplier quality audits, and driving corrective actions and failure analysis efforts. 
 
Working knowledge of mechanical quality and reliability concepts, supplier management, and general manufacturing operations. 
 
Experience with the development and evaluation of measurement systems 
 
Project management experience and an understanding of problem solving tools including design of experiments, root cause analysis and statistical analytical tools 
 
Experience with any of the following: mechanical enclosures, castings, plastic parts, injection molding, tooling, jigs, fixtures, or high volume quality manufacturing engineering (e.g. Automotive, Consumer Electronics, Medical Devices, Etc) 
 
Minimum Qualifications 
 
3+ years of experience in engineering, manufacturing and, quality control 
 
Travel internationally to supplier sites- 25% 
 
BS in a related engineering field (Mechanical, Industrial, Manufacturing, etc) 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Manufacturing Quality Engineer (MQE) Enclosures

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