IC Design Engineer
Normal Computing
Normal Computing. Incredible Opportunities.
At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the real world. At the center of our mission is bridging artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe. We are tackling these problems with a mix of interdisciplinary approaches across the full stack, from probabilistic software infrastructure and algorithms to hardware and physics.
At Normal, we understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world of atoms.
Join us as we incite a second industrial revolution through AI purpose-built for (and in) the physical world, as part of our incredible team that’s anything but normal.
Your Role in Our Mission:
At Normal Computing, we’re developing a new thermodynamic computing paradigm to accelerate probabilistic AI workloads by embracing noise, rather than fighting it. Our work combines foundational research on the physics of computing with a mission to ship scalable, reliable silicon and systems to revolutionize AI.
As an IC design engineer at Normal, you will work closely with the silicon and hardware R&D team to develop and implement novel thermodynamic computing architectures. This is a flexible role for ambitious early-career IC designers; depending on your skills and interests, you may work on analog, digital, or physical design, or a combination of the three.
Responsibilities Could Include:
You will play a key role in the entire development process of our silicon, from idea to architecture to implementation to tape-out and testing.
Contribute new ideas for potential thermodynamic computing technologies and architectures.
Implement analog and mixed-signal components in Cadence Virtuoso, potentially including amplifiers, memory cells, and oscillators.
RTL design of digital components on our ASICs and in our FPGA test harness, potentially including serial and parallel interface controllers, signal processing algorithms, and calibration algorithms.
Support physical implementation of digital logic on ASICs and FPGAs using Cadence and Xilinx tools, respectively.
Participate in the tape-out, bring-up, and testing of Normal’s silicon.
What Makes You A Great Fit:
Proficiency with Cadence Virtuoso for design and layout of analog blocks.
Understanding of design and layout techniques to minimize mismatch and parasitics while maximizing performance.
Understanding of transistor mismatch, yield, and design for manufacturability.
Experience in Verilog and/or SystemVerilog.
Understanding of best practices of testbench design.
Experience in scripting languages, including Python, Perl, and/or TCL.
Excellent communication skills and the ability to work well on a small, interdisciplinary team.
What Elevates Your Application:
Fluent in C and/or C++.
Experience working on mixed-signal systems, like PLLs, ADCs, or DACs.
Experience with asynchronous logic.
Proficiency with VerilogA.
Experience with foundries & foundry aggregators to help acquire, set up, and support PDKs, set up and perform LVS and DRC flows, and tape out a completed silicon product.
Experience working at a startup.
Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accomodations@normalcomputing.ai.
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