Autonomous Robotics Hardware Engineer

Doordashusa; Oakland (CA); On-site; USD 109,500 - 161,000; Full time

Benefits offered by this job

401(k) plan with employer matching

Paid parental leave

Wellness benefits

Comprehensive medical, dental, and vision benefits

Job summary

Doordashusa is seeking a Hardware Integration Engineer to join our innovative team focused on developing autonomous delivery robots. This role involves collaborating closely with hardware and service engineering teams to address technical challenges and drive project success.

Candidates should possess a relevant degree and at least 4 years of experience in autonomous hardware and software systems, along with skills in 3D modeling and hands-on experience with key AV components like LiDAR. The work is based in San Francisco and requires in-person attendance.

Qualifications

• 4+ years of technical experience focused on autonomous systems.
• Direct experience with key AV components like cameras and GPS.
• Strong skills in interpreting electrical schematics.

Responsibilities

• Lead technical reference for autonomous robotic vehicles.
• Develop and maintain documentation for system integration.
• Conduct root-cause analysis for troubleshooting vehicle systems.

Skills

Technical experience with autonomous hardware

3D modeling skills (CAD, Solidworks)

Hands-on experience with LiDAR and RADAR

Soldering and cable management

Education

BS/MS in Electrical or Mechanical Engineering

Tools

CNC and machining tools

Embedded systems diagnostic tools

Job description

Doordashusa is seeking a Hardware Integration Engineer to join our innovative team focused on developing autonomous delivery robots. This role involves collaborating closely with hardware and service engineering teams to address technical challenges and drive project success.

Candidates should possess a relevant degree and at least 4 years of experience in autonomous hardware and software systems, along with skills in 3D modeling and hands-on experience with key AV components like LiDAR. The work is based in San Francisco and requires in-person attendance.