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Ai Chip Jobs in Michigan (NOW HIRING)

twentysix

Optimization Analyst

Detroit, MI · On-site

$279 - $558/hr

VML is celebrated for its innovative and human first, award-winning work for blue chip client ... Integración de herramientas AI para investigación. * Conocimientos en UX y CX. * Conocimientos en ...

twentysix

Optimization Analyst (Detroit)

Detroit, MI · On-site

VML is celebrated for its innovative and human first, award-winning work for blue chip client ... Integración de herramientas AI para investigación. * Conocimientos en UX y CX. * Conocimientos en ...

Stellantis

Senior Automotive Hardware Architect

Detroit, MI · On-site

$97K - $124K/yr

... and chip solutions.Collaborate in a Scaled Agile product delivery team, comprised of cross ... Experience in RISC-V architecture, AI/ML, hypervisor technologies is a plus * Experience in ...

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Ai Chip information

What is an AI chip?

AI chips are specialized hardware components designed to accelerate artificial intelligence workloads, such as machine learning and deep learning tasks. Unlike traditional CPUs, AI chips are optimized for processing large volumes of data in parallel, making them highly efficient for neural network computations. These chips are commonly used in data centers, smartphones, autonomous vehicles, and edge devices to enable faster and more energy-efficient AI processing.

What are some common challenges faced by professionals working in AI chip development, and how can they be addressed?

Professionals in AI chip development often encounter challenges such as balancing high computational performance with power efficiency, keeping up with rapid technological advancements, and integrating hardware with evolving AI algorithms. Collaboration between hardware engineers, software developers, and data scientists is essential to ensure that chips meet both performance and functional requirements. Staying current through ongoing learning and participating in cross-functional teams can help address these challenges and contribute to successful AI chip projects.

What are the key skills and qualifications needed to thrive as an AI chip engineer, and why are they important?

To thrive as an AI Chip Engineer, you need a solid background in electrical engineering, computer architecture, and experience with hardware design, typically supported by a relevant degree. Familiarity with hardware description languages (such as Verilog or VHDL), EDA tools, and knowledge of semiconductor fabrication processes are crucial technical requirements. Attention to detail, strong problem-solving abilities, and effective teamwork skills help you excel in complex project environments. These competencies are vital for developing high-performance, efficient AI chips that power modern artificial intelligence applications.

What is the difference between Ai Chip vs AI Hardware Engineer?

AspectAi ChipAI Hardware Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; knowledge of VLSI designBachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; experience with hardware design and testing
Work EnvironmentDesign labs, manufacturing facilities, R&D centersDesign labs, testing facilities, R&D centers
Employer & Industry UsageTech companies, semiconductor firms, AI hardware startupsTech companies, semiconductor companies, research institutions

While both roles involve hardware and AI technology, an Ai Chip focuses on designing and developing AI-specific chips, whereas an AI Hardware Engineer works on the broader hardware systems that support AI applications, including integration and testing.

Which AI chip job is high paying?

Senior AI chip design engineers and hardware architects typically earn the highest salaries in AI chip jobs due to their specialized skills in semiconductor design, deep learning hardware, and system integration. These roles often require advanced degrees and experience with tools like FPGA or ASIC development, and they can command six-figure salaries depending on the company and location.

What are popular job titles related to Ai Chip jobs in Michigan?

For Ai Chip jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ai Chip jobs in Michigan look for?

The top searched job categories for Ai Chip jobs in Michigan are:

What cities in Michigan are hiring for Ai Chip jobs?

Cities in Michigan with the most Ai Chip job openings:

Ai Chip jobs near you

Senior Digital & Mixed-Signal Verification Engineer

Mythic

Ann Arbor, MI • Hybrid

$125K - $250K/yr

Full-time

Re-posted 5 hours ago

Job description

About Us:
Mythic’s platform delivers the power of desktop GPU in a single low-power chip, supporting inference for large deep neural networks. Mythic's technology is based upon an entirely new hybrid digital/analog flash calculation using non-volatile memory arrays which has been under development since 2012.  This step change in performance enables a range of new applications in many markets, including safety and security, autonomous vehicles, VR/AR, robotics, and media.  Mythic’s AI hardware combines knowledge across many domains, including AI, compilers, computer architecture, analog circuits, and non-volatile memories. Mythic will enable the future of AI by building analog-compute hardware platforms that are 100-1000x more efficient than conventional all-digital systems
 
About the role:
We are looking for an experienced digital and mixed-signal verification engineer who excels working in large complex systems with and enjoys utilizing a broad set of skills. This person will do everything from RNM creation to verifying top-level algorithms, all while ensuring interfaces, specifications, and features are clear between multiple teams. This role is largely responsible for ensuring Mythic's analog compute core can be accurately and thoroughly verified by the digital and mixed-signal verification flow, and is expected to contribute to methodology.
Required experience includes:
  • Significant experience with verification of RNMs in mixed-signal / SoC verification
  • Extensive digital verification background 
  • UVM expertise
  • Verification (and ownership a plus) of RTL for mixed-signal controllers and FSMs (for Data Converters, PLLs, Power Converters, etc.)
  • Experience tracking and communicating mixed-signal interface requirements/specifications
  • Ability to work cross-functional teams with humility
  • Excellent communication skills, especially resolving ambiguity
Bonus attributes:
  • Project leadership experience
  • Experience in Virtuoso 
  • Cadence tool setup and infrastructure knowledge (reasonable ability to debug)
  • Strength in linux (reasonable ability to debug)
Salary will be dependent upon candidate experience and location