asic design engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.<br>
<br>
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.<br>
<br>
Key job responsibilities<br>
As an ASIC Design Engineer, you will:<br>
<br>
<ul><li>Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets</li></ul><br>
<ul><li>Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements</li></ul><br>
<ul><li>Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints</li></ul><br>
<ul><li>Execute lint and clock domain crossing quality checks to ensure design integrity</li></ul><br>
<ul><li>Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts</li></ul><br>
The ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem-solving skills. Experience with high-performance and power-efficient designs is highly desirable.<br>
<br>
You will thrive in this role if you:<br>
<ul><li>Have a &quot;Learn and Be Curious&quot; mindset</li><li>Have familiarity with key components such as interconnects, DMAs, Memory sub-systems, accelerator engines, debug and system level architectures</li><li>Have a strong drive to innovate, explore new solutions, and contribute to the company's intellectual property through patents</li></ul><br>
About the team<br>
Inclusive Team Culture<br>
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon&rsquo;s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.<br>
<br>
Work/Life Balance<br>
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.<br>
<br>
Mentorship &amp; Career Growth<br>
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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.<br>
<br>
We are open to hiring candidates to work out of one of the following locations:<br>
<br>
Cupertino, CA, USA | Austin, TX, USA</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Bachelor's degree or equivalent in a related field</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in Electrical or Communications Engineering or a related field</li><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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"><b>DESCRIPTION</b></h2><div>
Utility Computing (UC)<br>
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.<br>
<br>
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.<br>
<br>
About AWS<br>
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.<br>
<br>
Diverse Experiences<br>
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.
<br>
<br>
Work/Life Balance<br>
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.
<br>
<br>
Inclusive Team Culture<br>
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.<br>
<br>
Mentorship &amp; Career Growth<br>
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.
<br>
<br>
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.<br>
<br>
Key job responsibilities<br>
<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.<br>
<br>
You will thrive in this role if you:<br>
<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><br>
About the team<br>
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.<br>
<br>
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"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Electrical Engineering or a related field</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"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree or Ph.D. degree in Electrical Engineering or related field</li><li>Experience scripting for automation (e.g., Python, Perl, Ruby)</li><li>Experience that includes strong analytical skills, attention to detail, and effective communication abilities</li><li>Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints</li><li>Familiarity with data path design, interconnects, AXI protocol</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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 - Annapurna Labs

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's, Master's, or Dual degree in Electrical, Electronics and Communication Engineering, or relevant technical field.</li>
<li>Experience with basic design concepts and computer hardware architecture.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li><div><div>Internship work, work experience, or personal project experience outside the classroom in Hardware, Electrical Engineering or Mechanical Engineering.</div></div></li>
<li>Experience in one or more of the following areas: SoC/ASIC design, design verification, physical design, design for testability.</li>
<li>Experience with Verilog/HDL or System Verilog coding.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google engineers develop the next-generation technologies that change how users connect, explore, and interact with information and one another. As a member of an extraordinarily creative, motivated and talented team, you develop new products that are used by millions of people. We need our engineers to be versatile and passionate to take on new problems as we continue to push technology forward. If you get excited about building new things and working across discipline lines, then our team might be your next career step.</p>
<p>
Google's Consumer Hardware Silicon division builds chips optimized for Google branded consumer devices. Our product areas include imaging, machine learning, video, and security. We aim to build a team with talent that resonates with Google's culture of innovation and fun.</p><div>
As a Silicon Engineer, you will design, develop, and deploy consumer hardware. As a member of a fast-paced multi-disciplinary team, you will use your creativity and various range of engineering experience to explore solutions to a variety of engineering problems. Additionally, you will participate in the design, analysis, and prototyping of new concepts. You will also work in a manufacturing and product oriented development environment and collaborate with vendors and outside sources in order to see parts through to manufacture.</div><p>
The ML, Systems, &amp; Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
</p><p>We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud&rsquo;s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Work with the SoC teams to develop power and performance optimized chips.</li>
<li>Contribute to the design, verification, and silicon implementation of ASICs and SoCs.</li>
<li>Work on design concepts around CPUs, image processing, machine learning, computer vision, security, and video.</li>
<li>Collaborate with teams in automating the SoC design flows.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Silicon CAD Automation Engineer, University Graduate, 2026

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's, Master's, or Dual degree in Electrical, Electronics and Communication Engineering, or relevant technical field.</li>
<li>Experience with design concepts and computer hardware architecture.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li><div><div>Internship work, work experience, or personal project experience outside the classroom in Hardware, Electrical Engineering or Mechanical Engineering.</div></div></li>
<li>Internship work, work experience, or personal project experience outside the classroom in Hardware, Electrical Engineering, or Mechanical Engineering.</li>
<li>Experience in one or more of the following areas: SoC/ASIC Design, Design Verification, Physical Design, Design for Testability.</li>
<li>Experience with Verilog/HDL or System Verilog coding.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google engineers develop the next-generation technologies that change how users connect, explore, and interact with information and one another. As a member of an extraordinarily creative, motivated and talented team, you develop new products that are used by millions of people. We need our engineers to be versatile and passionate to take on new problems as we continue to push technology forward. If you get excited about building new things and working across discipline lines, then our team might be your next career step.</p>
<p>
Google's Consumer Hardware Silicon division builds chips optimized for Google-branded consumer devices. Our product areas include imaging, machine learning, video, and security. We aim to build a team with talent that resonates with Google's culture of innovation and fun.</p><div>
As a Silicon Design Verification Engineer, you will design, develop, and deploy consumer hardware. As a member of a fast-paced multi-disciplinary team, you will use your creativity and diverse range of engineering experience to explore solutions to a variety of engineering problems. Additionally, you will participate in the design, analysis, and prototyping of new concepts. You will also work in a manufacturing and product oriented development environment and collaborate with vendors and outside sources in order to see parts through to manufacture.</div><p>
The ML, Systems, &amp; Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
</p><p>We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud&rsquo;s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Work with the SoC teams to develop power and performance optimized chips.</li>
<li>Contribute to the design, verification, and silicon implementation of ASICs and SoCs.</li>
<li>Work on design concepts around CPUs, image processing, machine learning, computer vision, security, and video.</li>
<li>Collaborate with teams in automating the SoC design flows.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Silicon Design Verification Engineer, University Graduate, 2026

Capgemini

<div><div><div><p>Hyderabad</p><div>
PCB Layout Engineer</div><p>
</p></div></div><div></div><div><div><div><div><div><div><div><div><div>Job Description</div></div><div>
This role involves the development and application of engineering practice and knowledge in the following technologies: Electronic logic&Atilde;&Acirc; programs (FPGA, ASICs); Design layout and verification of integrated circuits (ICs),&Atilde;&Acirc; printed circuit boards&Atilde;&Acirc; (PCBs), and electronic systems; and developing and designing methods of using electrical power and electronic equipment;</div></div><div><div><div>
Job Description - Grade Specific</div></div><div>
Focus on Electrical, Electronics and Semiconductor. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.</div></div></div></div></div><div><div><div>
<div><div>Ref. code</div><div>
342100-en_GB</div></div><div><div>
Posted on</div><div>
30 Dec 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Hyderabad</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Products &amp; Systems Engineering</div></div></div></div></div></div></div></div></div><p></p>

PCB Layout Engineer

Cisco

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
<br><br>
Meet the Team
<br><br>
Join the Cisco Common ASIC Group, a team responsible for developing the ASICs at the heart of Cisco's next-generation switching systems. These ASICs are becoming more general and programmable, moving beyond traditional high-speed packet forwarding. You will work with Cisco’s best-in-class switching solution team, driving the integration of Nexus systems and ACI with software like OpenStack, Docker, and Open vSwitch, to empower our customers in building multi-tenant clouds. Every time you access the Internet, chances are, your data has passed through one of our switches.
<br><br>
Your Impact
<br><br>
As an ASIC Verification Engineer, you will be a vital part of the team developing and upgrading various test benches and contributing to different aspects of verification infrastructure. You will collaborate closely with design and hardware teams to verify ASICs across simulation, emulation, and during ASIC bring-up. Your responsibilities will include:
<br><br>
<ul>
<li>Driving existing projects and engaging in new development for next-generation switching systems.</li>
<li>Developing and upgrading test benches, including components like drivers, monitors, and sequences.</li>
<li>Maintaining existing test benches for both block-level and cluster-level verification.</li>
<li>Upgrading test benches to accommodate new features and design changes.</li>
<li>Performing end-to-end verification of various design blocks.</li>
<li>Developing comprehensive test plans and cover points.</li>
<li>Upgrading and updating configuration/reset sequences (APIs).</li>
<li>Collaborating with designers and verification engineers for cross-block verification.</li>
<li>Writing tests and debugging regressions to ensure robust ASIC functionality.</li>
<li>Contributing to top-level verification efforts.</li>
<li>Actively participating in emulation testing efforts.</li>
</ul>
Minimum Qualifications
<br><br>
<ul>
<li>Master’s degree in Electrical& Electronics or Computer Engineering with 2 or 3 years of experience in Design Verification.</li>
<li>Proficiency in functional coverage and constrained random Design Verification (DV) environments.</li>
<li>Ability to debug issues independently and efficiently.</li>
<li>Hands-on and deep understanding of System Verilog and UVM methodology.</li>
</ul>
Preferred Qualifications
<br><br>
<ul>
<li>Ability to construct testbenches including scoreboards, agents, sequencers, and monitors.</li>
<li>Basic scripting experience (Python, Perl, shell programming).</li>
<li>Nice to have C, C++ programming and debugging skills.</li>
<li>Good written and verbal communication skills.</li>
<li>Collaborative and team-focused, with a strong drive to learn and grow within the field</li>
</ul>
Why Cisco?
<br><br>
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
<br>Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
<br>We are Cisco, and our power starts with you.

ASIC Verification Engineer

imec

<div>
 <p>
  <em>
   Be part of a new team and become a technical IC Design leader building and leading a team of design engineers.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About imec Qatar
  </strong>
 </p>
 <p>
  Imec Qatar is a new regional office where we drive our mission of pioneering innovative semiconductor solutions that lay the foundation for a smarter, greener, and truly AI-driven future. Specializing in advanced design tools for emerging technologies like silicon photonics and 3D integrated circuits, imec Qatar is at the forefront of chip development. And we're driving the future with intelligent solutions to optimize infrastructure, and deep-tech innovations targeting applications for a sustainable society.
 </p>
 <p>
  This is more than just a new office - it's the start of an exciting journey. With the launch of imec Qatar, you have the unique opportunity to join us from day one and help shape the future of semiconductor innovation in the region. Be part of the team from the very beginning, joining us as Digital ASIC Design Manager.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you will do
  </strong>
 </p>
 <p>
  You will be a technical IC Design leader building and leading a team of design engineers that will work in close cooperation with the design and PDK teams in Belgium. Your work will be instrumental in optimizing the imec design flow, the design of SoCs and the maturization of imec PDK&rsquo;s.
 </p>
 <p>
  You will:
 </p>
 <ul>
  <li>
   Lead and inspire a group of ASIC and PDK design experts
  </li>
  <li>
   Manage the resources of the team and follow up the work as to meet the set goals
  </li>
  <li>
   Foster communication and mutual learning within the group
  </li>
  <li>
   Onboard, coach and guide new team members
  </li>
  <li>
   Build a relationship and interface with imec management and radiate the strategy and goals to the team members
  </li>
  <li>
   Be the go-to person for day-to-day work content related questions
  </li>
  <li>
   Represent the group in management and resourcing meetings.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You will be part of imec, and that means&hellip;
  </strong>
 </p>
 <p>
  You will join a world-class research center in nanotechnology at our brand-new office in Doha (Qatar). You will build a team that shapes technology that will determine the society of tomorrow. Imec is an inclusive employer with an open, multicultural, and informal working environment. We provide ample room for initiative and professional development.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who you are
  </strong>
 </p>
 <ul>
  <li>
   You are able to lead a team of highly educated design engineers and have shown that in earlier work experience
  </li>
  <li>
   You have at least 10 years of relevant mainly digital chip design experience
  </li>
  <li>
   You have a good understanding of the full mixed-signal ASIC design flow
  </li>
  <li>
   You are aware of the EDA tools and flows that are used in the ASIC design space
  </li>
  <li>
   Experience with D2D interfaces and protocols (e.g. UCIe) for high-performance data exchange between chiplets is an asset
  </li>
  <li>
   Knowledge of stringent requirements for automotive application e.g. functional safety (ISO 26262), reliability (AEC Q100) and cybersecurity is an asset
  </li>
  <li>
   You understand the importance of good documentation
  </li>
  <li>
   Excellent communication skills in English (written and spoken)
  </li>
 </ul>
</div>


Digital ASIC Design Manager

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