Forward Deployed AI Engineer
New York, New York, United States
You'll embed inside enterprise semiconductor customer environments to adapt Normal EDA to their **proprietary data and workflows**. You'll own the ML systems that make the platform work, bridging between customer engineering artifacts and model behavior. This role combines deep technical work with direct customer impact, shaping product priorities based on field insights.
Executive Business Partner
San Francisco, California, United States
You'll provide **dedicated executive support** to senior leaders in the Bay Area, managing calendars, travel, and logistics. You'll partner with a New York-based counterpart to ensure **seamless cross-coverage during PTO or travel**. Your proactive anticipation of needs will keep executives focused on high-stakes external engagements.
Hybrid|Senior|Full-time|Software
You'll own the daily cadence of **media relations**, **speaking engagements**, and **executive visibility** at Normal, a company building AI for silicon engineering. You'll sustain press momentum with coverage in Fortune, Axios, and Yahoo Finance while growing Normal's presence on industry stages. The work spans earned media, thought leadership, and social strategy.
You'll build AI-native products and workflows for semiconductor engineers, working across frontend, backend, and AI systems. Your core impact is designing interfaces that help hardware teams verify chips more efficiently. This role combines **product engineering**, **AI systems**, and **developer tooling** in a technically demanding industry.
You'll own end-to-end success of Normal EDA deployments at leading semiconductor companies, serving as the **connective tissue** between customers, engineers, and leadership. You'll **drive production adoption** and sustained customer value through structured communication and rapid iteration. This role offers direct impact on **critical AI infrastructure** and the chance to shape product direction.
You'll lead a team building **AI-native EDA and advanced hardware workflows** at the intersection of applied AI, ML systems, and semiconductor complexity. Your core impact is setting technical direction while staying **hands-on with architecture, code review, and system design**. This role offers the chance to shape AI systems where **correctness and reliability** are paramount.
Hybrid|Lead|Full-time|Ai-ml
People Operations Specialist
You'll own the daily operations engine of Normal's People function, supporting global employees from onboarding through their full tenure. You'll ensure HR systems stay accurate, processes run smoothly, and employees get fast, reliable answers. This role is ideal for someone who thrives on **high-volume, detail-intensive work** and enjoys **improving operational workflows**.
You'll build production systems that understand complex technical documents and turn them into code at a company pushing boundaries in **AI for hardware**. Your work will ship weekly improvements to customers while tackling **reinforcement learning** and **agentic coding** challenges.
Hybrid|Senior|Full-time|Ai-ml
You'll push the frontier of **agentic LLMs** and **reinforcement learning** for our agentic code generation tool, nectar. You'll design experiments, build agents, and create rigorous evaluations, working closely with engineering to ship improvements.
Hybrid|Mid|Full-time|Ai-ml
Product Reliability Engineer
You'll build **validation and quality systems** that ensure product reliability in complex technical environments. You'll turn **manual validation into automated systems** using modern AI and agentic tools. This role is ideal for someone who understands product quality deeply and writes automation fluently.
Hybrid|Mid|Full-time|Software
Silicon Research Engineering Lead
You'll lead **silicon research** for a **new class of computing hardware**, bridging research and production by de-risking novel ideas through modeling, simulation, and prototype design. You'll work across analog, mixed-signal, and photonic domains to steer concepts toward tapeout readiness.
Hardware Engineer, Design Verification
You'll join the Normal Team to verify internal hardware (Physics inspired ASICs) while refining AI-generated collateral for product strategy. You'll act as the bridge between raw verification data and ML models, ensuring our AI learns from high-quality, curated data. This hybrid role combines **design verification** with **AI product shaping** at a company building foundational hardware for semiconductor and AI infrastructure.