A
Archer
VMS Software Engineer
Skills
PythonAnsibleLinux
20 days ago
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Important information
Salary:
$142,800 – $220,600 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
21 October 2026
What they need
Who you are
- Experience: 2–5 years of embedded software engineering
- Core Languages: Strong proficiency in modern C++ (11/14/17/20) for production code. Fluency in Python and Bash for data manipulation, testing, and prototyping
- Mindset: You are comfortable working with ambiguity. You don’t need a manual for everything; you can figure out how things work (or why they don't) and devise creative workarounds to keep the project moving
- OS: Solid understanding of Embedded Linux (kernel/user-space interactions) and how to manipulate it via the shell
- Real-Time: Experience with real-time constraints and resource constrained hardware
- Build Systems: Familiarity with Yocto, GTest, CMake, ansible is a plus
What the job involves
- We are seeking a resourceful hands-on Embedded Software Engineer to build high-reliability real-time systems. You will operate at the intersection of hardware and software, writing Modern C++ for Linux targets while leveraging Python for test automation
- This is a hardware heavy role; you should be comfortable bringing up boards, debugging signals with an oscilloscope, and writing defensive code that ensures safety and performance
- Embedded Development: Write efficient, robust C++ for Embedded Linux platforms. You know when to follow the rules and when to think laterally to squeeze out performance
- Agile Execution: Work within an agile sprint driven framework to iterate quickly with short planning and development cycles
- Hardware Interface: Write drivers and manage communications over common interlinks (Examples: CAN, Ethernet, TCP/IP, UART). You aren't afraid to reverse-engineer a protocol or write a custom driver if the standard one fails
- Deep-Dive Debugging: Get your hands dirty with hardware integration and bring-up. You will troubleshoot signal integrity and protocol weirdness using oscilloscopes, logic analyzers, or network sniffers
- Resilient Design: Design software with a safety-first mindset. You anticipate edge cases and write defensive code that ensures deterministic behavior, even when assumptions are violated or the hardware does something unexpected
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