Software Engineer
| Company | Normal Computing |
|---|---|
| Location | San Francisco, CA, USA, New York, NY, USA |
| Salary | $150000 – $250000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field
- 4+ years of prior engineering technical leadership experience
- Experience in enterprise software and/or industrials (advanced manufacturing, semiconductors)
- Strong software engineering skills, especially in building complex, distributed systems around AI technologies and multimodal data
- Strong understanding of AI product evaluation metrics
- Experience instantiating and scaling deep tech products at high-growth startups operating in high-stakes or regulated environments
Responsibilities
- Drive projects from concept to production deployment typically focusing within product UX, AI libraries, systems, or full-stack AI infrastructure
- Interfacing directly with Fortune 500 customers and users across the semiconductor industry, and industrials more broadly
- Spearhead 0-1 projects from feature prototyping to deployment, advancing state-of-the-art auto-formalizing AI systems for complex design and simulation problems in hardware engineering
- Drive alongside world-class software engineers (frontend, backend, and infrastructure) from Google Brain, Meta, Amazon AGI, and other top-tier AI groups and enterprise startups
- Contribute to comprehensive engineering roadmaps that align with company goals and product strategy
- Contribute to or interface with tooling and infrastructure projects to improve model training, experimentation, and enterprise product deployment infrastructure
- Operate in a metrics and measurement-led culture designing and challenging benchmarks to continually measure quality and robustness of solutions
- Travel to summits with our semiconductor partners
- Go the extra mile to assure success for our partners and your team
- Uphold a collaborative, growth-oriented environment that promotes kindness, empathy, transparency and eagerness
- Stay up-to-date with the latest advancements in Artificial Intelligence, Electronic Design Automation, and distributed software infrastructure
Preferred Qualifications
- Meaningful experience working and building within or for the semiconductor industry, and developing hardware products or software for hardware products
- Deep curiosity for or experience in semiconductors and physics
- Former zero-to-one engineering lead or startup founder with demonstrated track record of building customer-facing AI products through entire lifecycle from inception to business success
- World-class communication, collaboration, and stakeholder management abilities
- Advanced degree in Electrical Engineering, Semiconductors, Computer Science, Statistics or similar field, or Master of Science or Business Administration degrees