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Ai Chip Design Rtl Jobs in Utah (NOW HIRING)

Applied Materials

Customer Engineer II (C2)

Lehi, UT · On-site

$31 - $42.40/hr

... every new chip and advanced display in the world. We design, build and service cutting-edge ... our world - like AI and IoT. If you want to push the boundaries of materials science and ...

Amat

Customer Engineer II (C2)

Lehi, UT

$31 - $42.40/hr

... every new chip and advanced display in the world. We design, build and service cutting-edge ... our world - like AI and IoT. If you want to push the boundaries of materials science and ...

Applied Materials

Customer Engineer II (C2)

Lehi, UT · On-site

$31 - $42.40/hr

... every new chip and advanced display in the world. We design, build and service cutting-edge ... our world - like AI and IoT. If you want to push the boundaries of materials science and ...

Amat

Manager III, Customer Engineer (M3)

Lehi, UT

$88K - $121K/yr

... every new chip and advanced display in the world. We design, build and service cutting-edge ... our world - like AI and IoT. If you want to push the boundaries of materials science and ...

Amat

Customer Engineer II (C2)

Lehi, UT · On-site

$31 - $42.40/hr

... every new chip and advanced display in the world. We design, build and service cutting-edge ... our world - like AI and IoT. If you want to push the boundaries of materials science and ...

All JobsAi Chip Design Rtl JobsAi Chip Design Rtl Jobs in Utah

Ai Chip Design Rtl information

What is the difference between Ai Chip Design Rtl vs Ai Chip Verification Engineer?

AspectAi Chip Design RtlAi Chip Verification Engineer
Primary FocusDeveloping and implementing Register Transfer Level (RTL) code for AI chipsVerifying and validating RTL designs to ensure functionality
Skills RequiredHDL languages (Verilog/VHDL), digital design, FPGA/ASIC knowledgeSimulation, testbench creation, debugging, scripting skills
Work EnvironmentDesign teams, hardware development labs, EDA toolsVerification teams, simulation environments, test setups
CertificationsHardware design certifications, FPGA/ASIC trainingVerification methodologies, UVM, SystemVerilog certifications

While Ai Chip Design Rtl focuses on creating the hardware description code for AI chips, Ai Chip Verification Engineer ensures that the RTL design functions correctly through rigorous testing. Both roles require knowledge of HDL languages and work closely within hardware development teams, but their core responsibilities differ—design versus verification.

What are some common challenges faced by AI Chip Design RTL engineers during the verification process?

AI Chip Design RTL engineers often encounter challenges in ensuring their designs meet complex functional and performance requirements, especially given the rapid pace of AI hardware advancements. Verification can be particularly demanding due to the need to simulate and test intricate AI workloads, manage large datasets, and debug subtle timing or logic errors. Collaboration with verification teams, system architects, and software engineers is essential to address these issues efficiently and to ensure seamless integration of the RTL code into the broader chip design. Staying up-to-date with the latest verification tools and methodologies is also crucial for success in this role.

What are AI Chip Design RTL engineers?

AI Chip Design RTL (Register Transfer Level) engineers are specialists who design the digital logic for chips used in artificial intelligence applications. They use hardware description languages like Verilog or VHDL to create and validate the architecture and functionality of these chips before they are manufactured. Their work ensures that AI processors are efficient, high-performing, and meet the requirements of modern AI workloads. RTL engineers collaborate closely with verification, software, and hardware teams to optimize chip performance and power consumption.

What are the key skills and qualifications needed to thrive as an AI Chip Design RTL Engineer, and why are they important?

To thrive as an AI Chip Design RTL Engineer, you need a solid background in digital design, computer architecture, and proficiency in Hardware Description Languages (HDLs) like Verilog or VHDL, often supported by a degree in electrical or computer engineering. Experience with simulation tools (e.g., ModelSim, Synopsys), ASIC/FPGA design flows, and relevant certifications are highly valued. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help you excel in collaborative and complex design environments. These competencies are crucial for creating efficient, reliable AI hardware that meets performance and power requirements in a fast-evolving field.
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Ai Chip Design Rtl jobs near you
Construction Manager - Data Center Design, Engineering and Construction

Construction Manager - Data Center Design, Engineering and Construction

Meta

Eagle Mountain, UT

$150K/yr

Full-time

Posted 16 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Meta is seeking an experienced Construction Manager to join our Data Center Design, Engineering & Construction team. Our data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Building and operating data centers the "right" way is synonymous with ensuring high uptime, capacity availability and capital conservation. The data center engineering team thinks from chip to chiller (or electrical substation), determining configurations and ensuring maximum efficiency of our compute infrastructure.
Construction Manager - Data Center Design, Engineering and Construction Responsibilities:
  • Manage the construction, commissioning, and turnover of a Data Center within a campus program
  • Manage the budget associated with the project
  • Manage the cost change process and negotiate best pricing
  • Manage the schedule and associated risks to ensure reliable and predictable turnover dates
  • Manage warranty and tenant improvement work in the live environment when/as necessary
  • Communicate upward regarding the status and risks of the project
  • Negotiate vendor and contractor contracts and purchase orders as needed
  • Mitigate risk for the project through pre-planning, innovative planning, and partnership
  • Develop cost savings solutions and identify project savings/underruns early
  • Partner with the General Contractor and other Vendors to build collaborative relationships
  • Partner with Internal Cross Functional Partners to build collaborative relationships
  • Coordinate needs and asks with the Procurement/Sourcing group(s) to support the needs of the Project
  • Support the pre-construction efforts for upcoming projects
  • Promote prefabrication strategies
  • Support the development of Capital Project Budgets and Constructions ROMs
  • Support the Campus Construction Manager with the campus-wide book of work including contractor, designer, and vendor management
  • Support the on-site inspection process to ensure a zero punch-list and an expeditious turnover to FacOps
  • 10% travel to headquarters and other Meta sites
  • Respond on an as-needed basis to emergencies

Minimum Qualifications:
  • Bachelors in engineering or construction management or equivalent work experience
  • 12+ years of work experience in the construction management industry
  • Multi-Project experience in large scale construction management, mission critical, infrastructure, and or data center construction
  • General knowledge of civil, structural, electrical, and mechanical systems
  • Knowledge of capital budget management and contract administration
  • Negotiation skills and experience providing solutions to problems

Preferred Qualifications:
  • Knowledge of industry standards, building codes and safety standards including fire protection regulations
  • LEAN Construction knowledge and application of those tools
  • Familiar with P6
  • Procore and eBuilder software experience
  • BIM 360 and Bluebeam software experience
  • MS Visio and SharePoint experience
  • Building Environment Accreditations (i.e. LEED, SITES, TRUE, WELL)
  • Proficient working knowledge of MS Word, Excel, and PowerPoint
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$150,000/year to $209,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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