Palo Alto, California, United States · Hybrid
Normal Computing | Build with Us Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and…
Skills: Silicon Architecture, Microarchitecture, AI Accelerators, Hardware/Software Co-design, Performance Modeling
Palo Alto, California, United States · Remote Solely
Palo Alto University (PAU), a private, non-profit university, founded in 1975 and located in the heart of Northern California’s Silicon Valley, is a community grounded in values of social justice, dedicated to addr…
Skills: Research methods, Data analysis, APA formatting, Clerical updates, Literature reviews
Palo Alto, California, United States · On-site
$93/hr–$114/hr
Company Description We are proud to inform you that this position is eligible for our Student Loan Assistance Program. You may receive up to $9,600 which will be applied directly to your student loan account*. *This bene…
Skills: Cardiology, Patient care, Intubation, Central line placement, Arterial line placement
Palo Alto, California, United States · On-site
Palo Alto University (PAU), a private, non-profit university, founded in 1975 and located in the heart of Northern California’s Silicon Valley, is a community grounded in values of social justice, dedicated to addr…
Skills: Grading, Classroom management, Communication, Interpersonal skills, Organizational skills
Palo Alto, California, United States · Hybrid
Palo Alto University (PAU), a private, non-profit university, founded in 1975 and located in the heart of Northern California’s Silicon Valley, is a community grounded in values of social justice, dedicated to addr…
Skills: Grading, Classroom management, Canvas, Communication, Interpersonal skills
Palo Alto, California, United States · On-site
Palo Alto University (PAU), a private, non-profit university, founded in 1975 and located in the heart of Northern California’s Silicon Valley, is a community grounded in values of social justice, dedicated to addr…
Skills: Grading, Classroom management, Canvas, Communication, Interpersonal skills
Palo Alto, California, United States · Hybrid
Palo Alto University (PAU), a private, non-profit university, founded in 1975 and located in the heart of Northern California’s Silicon Valley, is a community grounded in values of social justice, dedicated to addr…
Skills: Spanish, English, Counseling, Research, Literature reviews
Palo Alto, California, United States · Remote Solely
Palo Alto University (PAU), a private, non-profit university, founded in 1975 and located in the heart of Northern California’s Silicon Valley, is a community grounded in values of social justice, dedicated to addr…
Skills: Course management, Student engagement, Grading support, Administrative tasks, Canvas
Palo Alto, California, United States · Remote Solely
Palo Alto University (PAU), a private, non-profit university, founded in 1975 and located in the heart of Northern California’s Silicon Valley, is a community grounded in values of social justice, dedicated to addr…
Skills: Clerical updates, Canvas, Research, Literature reviews, Manuscript preparation
Palo Alto, California, United States · Hybrid
$175k–$260k/yr
Our Purpose At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked g…
Skills: Applied AI, LLM, Agentic systems, Classifier training, Fine-tuning
Palo Alto, California, United States · On-site
About the Role RadixArk is seeking a Member of Technical Staff - Inference-Multi-Hardware to push the limits of performance for frontier AI systems. Most performance engineering assumes a single vendor's stack. This role…
Skills: C++, Python, CUDA, ROCm/HIP, Triton
Palo Alto, California, United States · On-site
$140k–$170k/yr
Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a “moneyball for biotech”…
Skills: Typography, Layout Design, Systems Thinking, Figma, Adobe Illustrator
Palo Alto, California, United States · Hybrid
$335k–$370k/yr
Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a “moneyball for biotech”…
Skills: Strategic Planning, Management Consulting, Investment Banking, Financial Modeling, Scenario Analysis
Palo Alto, California, United States · Hybrid
$162k–$192k/yr
Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a “moneyball for biotech”…
Skills: Project management, Marketing strategy, Product launch, Cross-functional collaboration, Digital marketing
Palo Alto, California, United States · On-site
$10/hr–$20/hr
About Summit: Summit Therapeutics Inc. is a biopharmaceutical oncology company with a mission focused on improving quality of life, increasing potential duration of life, and resolving serious unmet medical needs. At Sum…
Skills: Business development, Oncology, Strategic partnerships, Financial analysis, Due diligence
Palo Alto, California, United States · Hybrid
$100k–$130k/yr
Who You Are You are a quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real-world problems and want to bring that …
Skills: Python, SQL, PySpark, Machine learning, Statistics
Palo Alto, California, United States · On-site
About the Role RadixArk is seeking a Member of Technical Staff — Inference to push the limits of large-scale AI inference. You will work on the core systems that serve frontier models at scale, optimizing performance, la…
Skills: Systems Engineering, ML Infrastructure, GPU Architecture, Distributed Systems, Python
Palo Alto, California, United States · On-site
WindBorne Systems is supercharging weather models with a unique proprietary data source: a global constellation of next-generation smart weather balloons targeting the most critical atmospheric data. We design, manufactu…
Skills: Embedded circuit design, PCB design, Firmware development, C++, C
Palo Alto, California, United States · On-site
$143k–$223k/yr
We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, an…
Skills: Applied AI, Agentic AI, Machine learning, Deep learning, Python
Bengaluru, Karnataka, India · On-site
About Architect Architect is a frontier AI lab for chip design. We build AI models and tools for on-demand custom ASICs at scale. Our goal is to co-design custom ASICs alongside evolving ML workloads, and enable a new er…
Skills: RTL Design, NoC Architecture, AMBA Protocol, AXI, CHI
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You will define the silicon and system microarchitecture for a custom unconventional compute platform to optimize generative AI workloads. You will lead hardware/software co-design efforts and translate workload analysis into detailed hardware specifications for RTL implementation.
Candidates must have a degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience with substantial background in high-performance digital system architecture. Proficiency in Python or C++ for performance modeling and familiarity with SystemVerilog or RTL design are required.
Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.
As a Hardware Lead Architect, you will define the silicon and system microarchitecture for our custom unconventional compute platform—driving the architectural trade-offs that unlock a 100–1000x leap in energy efficiency over traditional digital chips for LLM and diffusion model inference.
You will lead the hardware/software co-design efforts to break the von Neumann memory wall. By translating transformer architectures (KV-cache management, attention mechanisms) and diffusion execution flows into custom mixed-signal compute tiles, memory hierarchies, and tile interconnects, you will set the blueprint for our hardware. Working closely with compiler, RTL, and analog teams, you will build performance models, establish microarchitectural specifications, and ensure our custom silicon delivers maximum throughput-per-watt on real-world generative AI workloads.
Compute Architecture: 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. The compute tile is the surface where Normal's research advantages have to show up in silicon, and you are one of the people responsible for making sure they do.
Workload-to-Hardware Translation: 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. You work closely with them through implementation, not over the wall from it.
Full-Stack PPA Tradeoffs: Reason across the full stack and defend PPA tradeoffs at every level. Move between algorithm-level workload behavior, memory hierarchy, on-chip interconnect, and physical design constraints. Make the call when the data is incomplete, and articulate why under scrutiny from our Systems Architect and the research team.
ISA Co-Design: Partner with the compiler lead on ISA co-design. The programming model and the microarchitecture are defined together, and you are accountable for both sides meeting in the middle.
Prototyping Strategy: Direct block-level pre-silicon validation. Decide which microarchitecture questions need to be answered, and the appropriate platform. Partner with our FPGA Design Engineers, who own implementation and bring-up, to de-risk decisions before tapeout. Work with the Systems Architect to make sure there are no gaps from block to System-level validation.
Research Fluency: Stay current with the AI accelerator research landscape and be able to articulate clearly where Normal's approach differs from existing solutions and why that matters. This is a research-adjacent seat and you are expected to read, possibly publish, and not just consume.
A degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent work experience. PhD welcome but not required; the bar is the work, not the credential.
Substantial experience in architecture or microarchitecture of high-performance digital systems: AI accelerators, compute engines, or similarly complex logic. You have shaped and directed the structures inside a chip, not just consumed them from the outside.
Fluency moving between algorithm-level analysis and hardware specification. You can read a profile of a workload and translate it into datapath widths, pipeline stages, and area/power estimates without losing the thread on either side.
Experience with simulation-driven architecture. You have used cycle-accurate or analytical models to make and defend design decisions before RTL exists, and you know which questions each tool can answer and which it cannot.
Familiarity with quantization and reduced-precision approaches for inference and their implementation implications. You understand the cost of a bit at the hardware level, not just the model level.
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. You do not need the answer to be already known to make progress on it.
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.
AI for our most pressing crises in silicon.
At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the physical world. We are tackling problems across semiconductors and industrials with a mix of interdisciplinary approaches across the full stack: from probabilistic software infrastructure and algorithms to hardware and physics, enabling AI that can reason and understand its own limits. 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. Normal was founded in 2022 by engineers and scientists that pioneered industry-leading Physics + ML tools for next-gen AI at Google Brain and Google X.
Offices: New York, NY, US · San Francisco, California, US · London, England, GB · Copenhagen, DK
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