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Clera

Embedded Software Engineer

Austin (Remote)$100k–$150kfulltimemidAdded today

About this role

A venture-backed robotics startup in Austin seeks an Embedded Software Engineer to develop and own the software controlling advanced ground robots built for hazardous environments. You'll work across the full stack—from system requirements and prototyping to real-world testing and deployment—collaborating closely with hardware teams on sensor integration and teleoperation features.

What you'll do

  • Translate system requirements into reliable end-to-end embedded software solutions for robotic platforms
  • Design and prototype hyper-critical features in collaboration with teammates and end users
  • Develop lightweight frontends for simulation, demonstration, and data collection
  • Test and validate features in lab, simulated, and real-world environments before deployment
  • Optimize network communications for performance and reliability across distributed systems
  • Debug complex issues in field operations and collaborate with hardware engineers on integration

What they're looking for

  • ROS (ROS 1 and/or ROS 2)
  • C/C++ embedded software development
  • Linux platform development and deployment
  • Data collection and teleoperation systems
  • Modular sensor integration
  • Python (nice to have)
  • Web technologies—HTML, CSS, JavaScript (nice to have)
  • Hardware-software integration and collaboration

Benefits

  • Salary: $100,000–$150,000 USD annually
  • Early-stage equity participation
  • High-autonomy, high-impact role on a focused team
  • On-site work in Austin with modern robotics technology
  • Opportunity to work on critical real-world applications
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Describe a project where you integrated ROS with hardware sensors. What challenges did you encounter and how did you resolve them?
  • Walk us through your experience deploying embedded C/C++ software from simulation to a real robotic platform. What differences surprised you?
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