Embedded Software Engineer
RISC-VFirmwarePosted Oct 13, 2025
Overview
Skills named in this posting
- C
- C++
- Python
- Assembly
- Embedded Linux
- RTOS
- CUDA
- PyTorch / TensorFlow
About Xcelerium
Working at Xcelerium will provide an opportunity to work on a complex development from the ground up and become familiar with cutting edge technologies such as RISC-V, digital signal processing, machine learning, many-core parallel processing using CUDA/OpenCL, inner workings of frameworks such as TensorFlow, PyTorch, OpenGL, real-time operating systems and embedded In addition, the application domains will be 5G, UAVs/Drone, Robots, and Autonomous Vehicles which provide enormous scope for growth and making an impact.
Technical Qualifications
• Bachelors in Computer Science, Computer Engineering or Electrical Engineering with an emphasis on embedded software development, operating systems, or computer architecture
• 1+ years of relevant professional experience
• Knowledge of RISC-V architectures
• Excellent understanding of CPU architecture and system level concepts such as device boot, linking and loading of programs, interrupt handling, virtual memory, caches, buses and protocols
• Strong programming skills in C/C++, assembly language experience is a big plus
• Experience developing software for an RTOS or embedded Linux is highly desirable
• Hands-on experience with embedded systems like Raspberry Pi, Beagle Bone, Arduino, or any ARM-Cortex-M or RISC-V board is desirable
• Knowledge of Python is desirable
• Experience with AI frameworks like TensorFlow Lite, PyTorch, TinyML etc. would be a plus
Other Requirements
• Passion for learning new technologies
• Taking pride in always producing high quality code and documentation
• Excellent communication skills
• Comfortable and willing to work with team members from different disciplines, different levels and across time zones
Job Type: Full Time
Job Location: Irvine CA, Santa Clara CA
Apply on the employer's site
Original posting: xcelerium.com
RISC-V ecosystem
Xcelerium in the RISC-V ecosystem
Domain specific processors for converged workloads · HPC · US · founded 2020
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