At a Glance
- Tasks: Help invent cutting-edge AI accelerator chips and define their architecture.
- Company: Join Normal Computing, a leader in innovative semiconductor technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment focused on groundbreaking technology and research.
- Why this job: Shape the future of AI with your contributions visible in real silicon.
- Qualifications: Degree in relevant field or equivalent experience; passion for innovation required.
The predicted salary is between 70000 - 90000 £ per year.
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
Normal is building ASICs purpose‑built for image and video diffusion inference, grounded in the physics of computation rather than the assumptions everyone else has inherited. The compute substrate has to be invented, not specified, and we are looking for the person who wants to help invent it. You will work directly alongside our lead architect and research engineers, contributing across the full architecture stack: compute core microarchitecture, memory subsystem, interconnect, and the FPGA prototyping that proves the decisions before silicon. The team is small. The scope is wide. The architecture is being shaped now, not refined, and your contributions will be visible in the chip when it tapes out.
Responsibilities
- Help define the architecture and microarchitecture of novel AI accelerator compute blocks.
- PE array design, datapath organization, and support for efficiency techniques such as sparsity exploitation and reduced‑precision computation.
- Translate workload analysis and research findings into hardware specifications.
- Identify where architectural innovation creates the most leverage, define the structures that realize it, and produce microarchitecture documents unambiguous enough for RTL engineers to implement against.
- Work closely with RTL engineers through implementation.
- Reason across the full stack and defend PPA tradeoffs at every level.
- Make the call when the data is incomplete, and articulate why under scrutiny from the lead architect and the research team.
- Partner with the compiler lead on ISA co‑design.
- Own the FPGA prototyping work.
- Stay current with the AI accelerator research landscape and articulate clearly where Normal's approach differs from existing solutions.
What We're Looking For
- A degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent work experience.
- Substantial experience in architecture or microarchitecture of high‑performance digital systems.
- Fluency moving between algorithm‑level analysis and hardware specification.
- Experience with simulation‑driven architecture.
- Familiarity with quantization and reduced‑precision approaches for inference and their implementation implications.
- Experience writing microarchitecture specifications and working closely with RTL engineers through implementation.
- Proficiency in Python or C++ for performance modeling and analysis, and familiarity with SystemVerilog or equivalent RTL.
- Comfort operating in an environment where the architecture is actively being discovered alongside the work.
Mindset and Impact
This role is not for everyone. You will spend years on a chip that does not exist yet, defending decisions that cannot be fully validated until silicon comes back. The people who thrive here run toward the hard stuff. They are steady in ambiguity, comfortable when the data is incomplete, and they take the hardest problem on the board first because that is where the answer is hiding.
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.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities.
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.
Silicon Architect, Diffusion ASICs employer: Normal Computing Corporation
Normal Computing is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to shape the future of AI technology. With a focus on employee growth, Normal offers unique opportunities to work on groundbreaking ASIC designs in vibrant locations like New York and San Francisco, ensuring that your contributions are not only recognised but also pivotal in advancing the semiconductor industry. Join a team that values diversity and inclusivity, providing a supportive environment for all talents to thrive.
Contact Details:
Normal Computing Corporation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Silicon Architect, Diffusion ASICs
✨Tip Number 1
Network like a pro! Reach out to folks in the semiconductor and AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your passion! When you get an interview, make sure to express your excitement about building innovative ASICs. Let them know you're not just looking for a job, but a chance to shape the future of AI.
✨Tip Number 3
Prepare to discuss your past projects in detail. Be ready to dive into the nitty-gritty of your architecture and microarchitecture experience. They want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Silicon Architect, Diffusion ASICs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Silicon Architect role. Highlight your experience in architecture or microarchitecture of high-performance digital systems, especially if you've worked on AI accelerators or complex logic.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about inventing new architectures. Share specific examples of how you've tackled ambiguity and made impactful decisions in your previous roles.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python or C++, and any experience with SystemVerilog. We want to see how you can translate workload analysis into hardware specifications, so be clear about your technical capabilities.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of AI inference.
How to prepare for a job interview at Normal Computing Corporation
✨Know Your Stuff
Make sure you’re well-versed in the architecture and microarchitecture of high-performance digital systems. Brush up on AI accelerators and how they differ from traditional architectures. Being able to discuss your insights on workload analysis and hardware specifications will show that you’re not just a consumer of technology but an innovator.
✨Show Your Problem-Solving Skills
Prepare to tackle complex problems during the interview. Think about how you would approach architectural innovation and be ready to defend your decisions. The interviewers will want to see how you reason through incomplete data and make calls based on your understanding of the full stack.
✨Communicate Clearly
Articulate your thoughts clearly, especially when discussing technical concepts. You’ll need to explain how your designs translate into hardware specifications and how they can be implemented by RTL engineers. Practice explaining your ideas in simple terms, as this will demonstrate your ability to collaborate effectively with the team.
✨Stay Current with Research
Familiarise yourself with the latest trends in AI accelerator research. Be prepared to discuss how Normal's approach differs from existing solutions and why that matters. Showing that you’re engaged with the research landscape will highlight your commitment to innovation and your readiness to contribute to the team’s mission.