Founding Engineer - AI / Firmware

  • San Francisco, CA
  • Posted 1 day ago | Updated 3 hours ago

Overview

On Site
USD 160,000.00 - 250,000.00 per year
Full Time

Skills

Artificial Intelligence
Real-time
Software Architecture
Machine Learning (ML)
System Integration
Collaboration
Data Science
IT Strategy
Manufacturing
Firmware
SQL
NoSQL
Database
Cloud Computing
Version Control
Git
Sensors
Time Series
Shipping
Computer Hardware
Embedded Systems
Problem Solving
Conflict Resolution
Startups
Genetics
Authorization
Law
LOS
Recruiting

Job Details

This Jobot Job is hosted by: Sydney Weaver
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $160,000 - $250,000 per year

A bit about us:

A stealth-mode, venture-backed AI startup working at the intersection of software and hardware is looking for a Founding Engineer to join its small, mission-driven team. This company has already secured capital from top-tier investors including the same backers of OpenAI. They are building intelligent, real-world products designed to operate in environments where data is messy, constrained, and valuable. If you're excited by low-level systems, machine learning, and seeing your code come to life on a physical device-this is the opportunity to own the full engineering lifecycle.

Why join us?

Great Benefits, Growth Opportunity, Great Culture, PTO, 401K, and much more!

Job Details

You'll join as one of the first engineers and help shape both the product and the culture of the company. This startup is solving complex problems involving real-time sensor data, edge computing, and production-grade ML-blending Firmware embedded systems with modern software architecture. You'll work directly with the founding team to architect, build, and deploy systems that interact with real-world environments. This role is ideal for someone who has meaningful experience shipping products end-to-end and thrives in high-ownership, low-bureaucracy environments.

Responsibilities
  • Build systems capable of ingesting, processing, and acting on real-world sensor and time-series data
  • Deploy and maintain machine learning models in production, both in the cloud and at the edge
  • Design and implement APIs and backend services to support hardware-software integration
  • Optimize systems for low-latency and low-power scenarios where data throughput is limited
  • Collaborate cross-functionally with hardware, product, and data science
  • Help define technical strategy and make foundational architectural decisions
  • Take products from prototype to scale, including manufacturing, firmware integration, and post-deployment support

Requirements
  • Bachelor's degree and at least 5 years of professional engineering experience (startup experience preferred)
  • Experience with firmware/hardware and working with sensor data
  • Proficiency in backend programming, APIs, and solid understanding of both SQL and NoSQL databases
  • Hands-on experience with cloud platforms and version control systems such as Git
  • Proven track record of building and deploying systems that interact with real-world sensor or time-series data
  • Hands-on experience developing and shipping a hardware product through its full lifecycle
  • Experience working with embedded systems or low-power, edge-computing devices
  • Strong problem-solving skills and a collaborative, startup-ready mindset


Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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