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Sr. Asic Engineer Iii, Annapurna Labs...

Amazon

Milano

In loco

EUR 120.000 - 209.000

Tempo pieno

Ieri
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Descrizione del lavoro

A leading technology company in Milan seeks an experienced ASIC Design Engineer to join their Cloud-Scale Machine Learning Acceleration team. You will design and optimize hardware for AWS infrastructure while working in a collaborative environment focused on mentoring. The ideal candidate will have extensive experience in electrical or computer engineering and a proven track record in leadership. This role offers competitive compensation and opportunities for career advancement.

Servizi

Mentorship programs
Career advancement resources
Flexible work arrangements

Competenze

  • 8+ years of domain experience in ASIC design.
  • Experience with leadership principles and technical depth.
  • Master's degree preferred in electrical/computer engineering.

Mansioni

  • Design and optimize hardware in data centers.
  • Work on AWS custom-designed machine learning servers.
  • Support new members with mentoring and code reviews.

Conoscenze

Analytical skills
Problem solving
Communication skills

Formazione

BS in Electrical Engineering or Computer Science
MS in Electrical Engineering or Computer Science
Descrizione del lavoro

Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’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 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—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’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diversity & Inclusion

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 followed a traditional path, or includes alternative experiences, don’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’s nothing we can’t achieve in the cloud.

Here at AWS, it’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 conferences, inspire us to never stop embracing our uniqueness.

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 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 Engineer 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’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.

Basic Qualifications
  • BS + 8yrs or MS + 6yrs in EE / CS
  • 8+ years of domain experience
  • Meets / exceeds Amazon’s leadership principles requirements for this role
  • Meets / exceeds Amazon’s functional / technical depth and complexity for this role
Preferred Qualifications
  • Master's degree in electrical engineering, computer engineering, or equivalent
  • Good analytical, problem solving, and communication skills
Legal Statements

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’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Posted: December 1, 2025 (Updated about 6 hours ago)

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