Lead Embedded Software Engineer

Ainstein, AI is a rapidly growing radar technology company based in Lawrence, KS. We offer employees flexibility, growth, and great benefits. As a Lead Embedded Software Engineer at Ainstein, AI you’ll be responsible for design, development, code, test and debug embedded software for radar sensors and product development for new radar and camera-based products.

We offer work that's interesting and challenging. In addition to a competitive base salary, this position is also eligible for a performance bonus and a full range of company benefits. We also pride ourselves on supporting a good balance between work and personal life.

This position reports to: Director of Engineering

Successful candidates will have the following experience:

  • Basic understanding of radar sensors
  • Experience with software development for radar signal processing and visualization
  • Experience with consumer product development
  • Proficiency in C, C++, and/or Python for embedded applications
  • Experience with one or more of the following: Git, Linux / Embedded Linux, Linux Kernel, , Yocto, FPGA / VHDL / Verilog / Vivado, Code Composer Studio, ROS
  • Experience with APIs, SDKs, and GUIs
  • Minimum 8 years working experience and BS in Electrical Engineering, Computer Engineering, Computer Science or equivalent

More reasons to apply:

  • To be part of a company going places
  • Exciting challenges
  • Great Benefits
    • Medical, dental, vision and supplemental insurance plus 401(k) with a great match
    • Eligibility 1st of month following date of hire
  • Easy to Apply
  • Generous Paid Time Off - 12 vacation days, 5 sick days, and 10 company paid holidays
  • Eligible for Annual Bonus

Location:

On Site in Lawrence, KS

The Company:

Ainstein AI is in the business of improving safety and protecting valuable assets through innovations in radar technology. Ainstein makes radar systems smarter, more affordable, and easier to deploy. We offer complete solutions for autonomous drones, advanced driver-assistant systems (ADAS), autonomous vehicles and industrial sensing – incorporating a combination of mmWave radar, sensor fusion and artificial intelligence (AI).