Software Engineer, AI
Promise
Senior/Staff Software Engineer, Onboard Software, Sensors
Waabi
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California, Pennsylvania • 🇺🇸 United States
Visit company websiteSalary
💰 $155,000 - $249,000 per year
Job Level
Senior
Tech Stack
LinuxRust
About the role
- Help shape the Waabi sensors platform as we scale from.
- Solve challenging integration issues across a number of sensor modalities (LIDAR, RADAR, cameras...).
- Deploy and debug software on real vehicles operating in the field daily.
- Integrate new types of sensors into existing and future onboard platforms.
- Work closely with multidisciplinary development teams to design and build innovative sensor solutions.
- Work closely with operations teams to understand live system behavior, resolve issues and form opinions on how we can mature our system going forward.
Requirements
- 5+ years of industry experience working on fielded sensor systems (cameras, lidar, radar, GPS, IMU)
- Enjoy collaborating with large teams that span many disciplines from engineering to operations.
- Have a passion for developing efficient, readable and testable code.
- Expert level C/C++ or Rust (we use Rust) in resource constrained environments.
- Have, independently, lead engineering effort to solve critical systems problems.
- Have fielded and debugged Linux systems below the application level.
- Firm grasp of how time plays a role in coordinated systems.
- Passionate about self-driving technologies.
- Some electronics experience - ability to read a schematic and use basic test equipment.
Benefits
- The US yearly salary range for this role is: $155,000 - $249,000 USD in addition to competitive perks & benefits.
- Equity incentive awards
- Annual performance bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
CC++RustLinuxsensor systemsLIDARRADARGPSIMUdebugging
Soft skills
collaborationproblem-solvingleadershipcommunicationteamworkpassion for technologyefficiencyreadabilitytestabilitymultidisciplinary teamwork
