TL;DR - We're building humanity's defense layer for the AI age and are looking for a Firmware Engineer to build systems that operate in real environments and survive contact with reality.If you would have joined Nest before connected devices became commonplace-or Figure AI before humanoids left the lab-to build the firmware that made them trustworthy, this is that role.
What makes this role special?- One of the first 10 engineers shaping hardware systems pre-Series A.
- Own firmware that leaves the lab and operates in some of the world's highest-stakes environments.
- Work directly with the hardware lead across EE, firmware, and embedded systems.
- Operate in environments where hardware decisions have immediate consequences.
- Partner with RF, ML, and product teams to deliver integrated systems.
- Define the trust boundary between hardware and software.
What we're looking for...- 4-8 years shipping reliable production systems.
- Polyglot engineer comfortable moving between TypeScript, Python, and systems languages like Rust or Go as the problem demands.
- Comfortable deploying and integrating with cloud systems like AWS or GCP in production environments.
- Obsess over software quality, reliability, and maintainability.
- Built production systems using LLMs, vector databases, and retrieval pipelines.
- Thrived in an early-stage startup.
- U.S. Person status required. May involve export-controlled data.
Bonus if you've...- Built production web applications used by technical or operational teams.
- Built iOS applications or worked closely with native mobile teams.
- Integrated LLMs, vector databases, or graph-based reasoning into production products.
- Created secure operational dashboards, admin tooling, or internal developer platforms.
- Worked with IoT, BLE/Wi-Fi, spatial computing, or sensor-driven products.
- Optimized backend systems and databases under production load.
What you'll do...- Own user-facing systems and internal tools.
- Build product systems across web, mobile, and internal tooling.
- Integrate with backend systems and deploy product-facing services.
- Turn customer workflows into production product capabilities using LLMs, graph reasoning, and sensor data.
- Ensure reliability through testing, automation, and tight feedback loops.
- Work directly with customers and deployments globally (~10-15% travel).
How we select...- Short application
- 20-minute intro call
- Technical deep-dive
- Practical problem discussion
- References and offer
Final facts.Base salary up to $220,000 depending on qualifications, experience, and impact. Total compensation includes equity, premium insurance, 401(k), flexible PTO, and other individual benefits.
You'll join us on-site at our HQ in New York City with occasional domestic and global deployments.
Apply. Build humanity's defense against machines. 
