Embedded Linux Software Engineer
Sunday - Redwood City, CA, Redwood City, California, United States
Posted Apr 27, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Embedded Linux Software Engineer Redwood City, CA, Redwood City, California, United States Join Us in Building the Future of Home Robotics At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time. We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you. What to Expect As an Embedded Linux Software Engineer, you'll own platform software for the embedded Linux compute units running our robotics stack. You will collaborate closely with electrical, mechanical, software, and machine-learning teams to integrate our full robotics stack on a new compute. What You'll Do - Own the embedded software stack (bootloader, kernel, devicetree, BSP, and drivers) for compute platforms based on SoCs like NVIDIA Jetson, Qualcomm etc - Develop and maintain Linux kernel drivers and userspace integration for sensors, GMSL cameras, displays, storage, and high-speed interconnects (PCIe, USB, MIPI CSI/DSI, Ethernet, CAN) - Own build system and BSP layers using Yocto/Buildroot or vendor SDKs like JetPack - Work with the electrical engineering team to debug and bring up custom carrier boards - Work closely with the software and machine-learning teams to optimize performance across the entire software stack - Design
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