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Ai Chip Design Rtl Jobs in Tennessee (NOW HIRING)

Ai Chip Design Rtl information

What is an AI Chip Design RTL engineer?

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 skills and qualifications are needed to thrive as an AI Chip Design RTL engineer?

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.

What are 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 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 cities in Tennessee are hiring for Ai Chip Design Rtl jobs?

Cities in Tennessee with the most Ai Chip Design Rtl job openings:

Market Research Consultant

Whopper Technologies

Memphis, TN • On-site

Contractor

Posted 14 days ago


Job description

Job Title: Market Research Consultant
Location: Onsite in Memphis
Seniority on the skill/s required on this requirement: Senior
Estimated Duration: 12 months contract with possible extension
Work authorization: candidate must be authorized to work in the US

Job Summary:
Marketing Insights Center of Excellence (MICOE) strategically guides and empowers enterprise stakeholders to build donor intimacy and centricity to drive business growth, brand affinity and relevance. As an integral part of the MICOE, this individual supporting Marketing Insights is responsible for leading and managing the overall research design, data collection, analysis, and reporting of results and insights for a portfolio of strategic primary research studies through all relevant phases, and in alignment with the organization's Vision and Plan.

Responsibilities:
Essential Job Functions

  • Uses a high degree of critical thinking, collaboration and project management to autonomously oversee the strategic development and execution of multiple research initiatives that inform brand, marketing, communication and fundraising strategies.
  • Requires experience and understanding of sophisticated, customized research methodologies (such as discrete choice, longitudinal tracking, and segmentation techniques) and applied research project management skills including research design (qualitative and quantitative), questionnaire and discussion guide construction, presentation and report development, post-research socialization, and project archiving, as well as the ability to relate, and work with, both client and vendor-side management.
  • Leads projects that are highly visible among Executive and Senior Leadership, as well as the Board. Communicates key insights to the Chief Marketing and Brand Officer, SVP, and Director, and proactively makes strategic recommendations to Marketing and Development leadership based on insights. Responsible for the development, implementation and management of brand health initiatives, segmentation research, creative and message testing.
  • Works with a high degree of autonomy and agility on enterprise-wide primary research projects that provide guidance to growth strategists and/or Development teams in the conception and design of marketing campaigns.
  • Possesses strong analytical skills and an understanding of survey design, sampling methodology, panel recruitment and weighting techniques. Serves as an in-house research expert, collaborating and negotiating with key individuals in all departments to develop and execute cohesive research approaches that meet the needs of all teams.
  • Requires an entrepreneurial spirit for the ability to "think outside the box," "connect the dots" and integrate research insights across multiple sources to develop richer, most holistic recommendations. Takes on an enterprise viewpoint of research value streams and works across the organization to recommend future research needs in a roadmap view. Also requires the ability to organize large amounts of information, understand the story that the data is telling, and the ability to work on multiple projects at once with great attention to detail and with minimal supervision.
  • Requires a clear understanding of, and experience in, a range of research methodologies, including concept, copy and message testing; segmentation research, brand equity analytics, conjoint, choice-base conjoint and max diff, chip allocation, ethnography, neuro research, online discussion boards, web usability, and both motivational and emotion-based research testing. SPSS or other statistical software experience is mandatory, and familiarity with the implementation of AI/machine learning to explore and validate primary research efforts is a plus.
  • Works cross-functionally and collaborates with enterprise-wide research constituents to develop integrated research approaches that maximize research opportunities and deliver against strategic plans. Must be solution-oriented with a proven ability to problem solve and develop innovative solutions.
  • Stays abreast of upcoming sociocultural trends and macroeconomic impacts to business, in order to inform long-term industry, research and business strategies. Leads and manages the oversight of best practices for research methodology, field work and analysis for Marketing Research. Actively participates in the Enterprise Research Council (ERC) and is a working member and contributor of research leadership and expertise to the goals of the council.
  • Possesses advanced storytelling and presentation skills - demonstrated track record translating business data and complex ideas into a clear, easy to interpret and meaningful visual story presentation. Communicates research findings, both verbal and in writing, in an easily understood manner using various illustrative techniques including charts, tables, infographics, etc. Presents data in a storytelling format and in an engaging manner that ensures a solid understanding of research findings and recommendations. Tailors and targets presentation content and style to address known and anticipated audience needs. Heavy creation of PowerPoint decks and working in both SPSS (or another statistical software), and Excel.
  • Responsible for developing, managing and maintaining strong internal client relationships, as well as long-term external vendor and agency partnerships. Requires strong skills in leadership, communication, persuasion, decision-making, and insights identification. Will also assist in the creation and reconciliation of the marketing research budget, including management of specific research and development line items, submission of vendor invoices on a timely basis, and the reconciliation of overall project costs.
  • Mentors and coaches teammates both officially and unofficially. Can be asked to lead a significant project including peer teammates directly where feedback is necessary. May directly have one or more direct reports for career mapping and succession planning.

Requirements:

  • Requires a master's degree in business administration, Market Research, Statistics, Marketing, Data Science or related field or the equivalent in work experience of at least 12 years in an insights function.
  • Requires a deep understanding of market research methodologies and techniques and must possess strong communication skills in order to socialize findings to Executive and Senior Leadership Teams, as well as other internal stakeholders.
  • Responsible for leading strategic research initiatives that entail the use of leading-edge, complex and highly sophisticated data mining and statistical analysis techniques, while utilizing findings to build data-driven recommendations that guide the organization's high-visibility marketing and fundraising efforts, such as audience-led strategies, brand initiatives, program development, and marketing communication decisions.

Mindtris, a minority women-owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top-tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success.

Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer.