Senior / Staff Software Engineer, Sensors Integration

Waabi; San Francisco (CA); On-site; USD 155,000 - 249,000; Full time

Job summary

Waabi in San Francisco is looking for an experienced engineer to join the Onboard Sensors Team, focusing on scaling sensor systems for autonomous vehicles. Responsibilities include solving integration challenges and deploying software in real vehicles. Ideal candidates will have 7+ years of experience with sensor technologies, proficiency in C/C++ or Rust, and debugging experience in Linux environments. Competitive salary range from $155,000 to $249,000 USD, alongside perks and benefits.

Qualifications

• 7+ years of industry experience working on fielded sensor systems.
• Passion for developing efficient, readable, and testable code.
• Expert level C/C++ or Rust in resource-constrained environments.
• Fielded and debugged Linux systems below the application level.

Responsibilities

• Help shape the Waabi sensors platform as we scale.
• Solve challenging integration issues across sensor modalities.
• Deploy and debug software on real vehicles operating in the field.
• Integrate new types of sensors into existing platforms.
• Work closely with teams to understand system behavior.

Skills

Integration issues

C/C++ or Rust

Collaborating with multidisciplinary teams

Debugging Linux systems

Self-driving technologies

Reading schematics

Job description

Robots need to see the world they live in to make informed decisions. The Onboard Sensors Team brings that sight to our robot trucks. We are currently growing our small group to support integrating, fielding, ruggedizing and productionizing our sensor systems to allow Waabi Driver to navigate roads and freeways - charting a new path forward in how freight is moved. We work with live vehicles everyday, learning how to best shape our sensor platform to fit our vision of the future. Come help us build the most reliable AV platform and have a great time doing it!

You will…

• 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.

Qualifications

• 7+ 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.

The US yearly salary range for this role is: $155,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.