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1X

Audio Systems Engineer, Robot Head

San Carlos, CA$173.9k–$240kfulltimemidAdded 1 month ago

About this role

1X is hiring an Audio Systems Engineer to design and optimize microphone and speaker systems for NEO, a humanoid home robot. You'll own audio hardware and firmware development, working across teams to ensure robust speech capture, localization, and communication in real-world home environments.

What you'll do

  • Design and integrate microphone and speaker systems optimized for home robotic applications
  • Develop and validate audio hardware performance across diverse acoustic environments and operating conditions
  • Partner with signal processing and ML teams to integrate audio systems with VAD, DOA, noise suppression pipelines
  • Conduct field testing, data analysis, and iterative optimization to improve audio reliability and speech quality
  • Establish validation methodologies and performance metrics supporting production deployment
  • Collaborate across electrical, mechanical, software, and manufacturing teams on system integration

What they're looking for

  • Audio hardware design and acoustics
  • Microphone and speaker system integration
  • Audio measurement and validation equipment
  • Real-time audio streaming and digital signal processing
  • Noise reduction and speech capture optimization
  • Hardware prototyping, testing, and debugging
  • Cross-functional collaboration and technical communication
  • Data analysis and performance optimization
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1X

1X builds humanoid robots for home use, with its NEO robot requiring sophisticated hardware, firmware, and cloud systems. The company is hiring across compliance testing, audio systems, embedded firmware, cloud platform development, and supplier engineering to bring its robots to production and scale.

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Likely interview questions

  • Walk us through a microphone or speaker system you've designed from concept to production. What were the key acoustic and electrical challenges, and how did you validate performance?
  • Describe your experience with audio measurement equipment and methodologies. How have you used test data to drive iterative hardware improvements?
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