Normal Computing | Incredible Opportunities
The Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London.
Your Role in Our Mission:
You will define and implement architecture and microarchitecture for novel compute blocks at Normal Computing. This role requires both architectural thinking and hands-on RTL implementation—you'll work closely with architecture and research teams to translate high-level specifications into efficient hardware designs, then carry those designs through verification and physical implementation.
This is a role for engineers who are comfortable operating in ambiguity, where requirements and architectures evolve as we explore the design space. You should be equally capable of writing clean RTL, reasoning about architectures, and collaborating with physical design teams to ensure your designs can be built efficiently in silicon.
Responsibilities:
Define architecture and microarchitecture for novel compute blocks, collaborating closely with architecture and research teams
Write high-quality RTL in SystemVerilog for core logic, datapaths, and control structures
Work with DV team on digital verification for assigned designs, including testbench development, debugging, coverage, and signoff
Work closely with physical design engineers to ensure RTL is implementable, performant, and aligned with layout constraints
Contribute to functional or performance models to support early exploration, validation, and design tradeoff analysis
Participate in design reviews, verification reviews, and cross-functional debug from concept through silicon
Help shape internal RTL and verification methodologies in a fast-moving startup environment
What Makes You A Great Fit:
BS, MS, or PhD in Electrical / Electronic Engineering, Computer Engineering, Computer Science, or a related field
3+ years of experience in digital logic design, with meaningful ownership of blocks or subsystems
Strong proficiency in SystemVerilog for RTL design and verification
Experience designing compute cores, accelerators, or similarly complex logic
Hands-on experience with digital verification, including testbench development, debugging, and coverage-driven validation
Ability to work closely with physical design and verification teams to ensure correct, implementable designs
Comfort operating in an R&D-focused, ambiguous environment where architecture, RTL, and verification evolve together
Bonus Points For:
Experience with CDC/RDC analysis and mitigation in complex clocking or asynchronous designs
Familiarity with modern verification methodologies and open source verification tools (UVM, Cocotb etc.)
Experience with formal or semi-formal verification techniques (FPV, assertions, property checking)
Prior work integrating third-party or internal IP into larger compute systems
Experience building or improving verification flows, infrastructure, or automation
Background in functional or performance modelling to support architecture exploration or validation
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 [email protected].
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.
Top Skills
What We Do
Normal is rethinking semiconductors from the ground up.
The infrastructure powering AI models was never designed with today’s scale, complexity, or energy demands in mind. Today's general-purpose architectures underutilize the physical potential of the hardware itself.
By aligning hardware design with the intrinsic properties of physical systems, we can transform efficiency. We believe that exploring the limits of new and custom silicon, including those which optimize their own physics, requires the help of AI, better EDA software, and ultimately the realization of a virtuous cycle of self-improving AI hardware.
We deliver our software and hardware with the largest semiconductor design and manufacturing institutions, a responsibility which entails individual ownership and deep partnership. We are a diverse, lean team of the world's best engineers, scientists, and operators, with offices in New York City, San Francisco, London, and Copenhagen.
Why Work With Us
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.
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