Robotics Software Engineer
📌Maryland, United States 🇺🇸
⏱︎ full-time
🧙♂️ entry-level
hybrid
************SPONSORSHIP IS AVAILABLE FOR THESE POSITIONS! ***************
We are seeking a highly skilled Robotics Software Engineer with hands-on experience in robotics to join our team in Sunnyvale, CA. This is a full-time hybrid position focused on building the next generation of intelligent robotic systems by integrating sensors, mechanisms, and AI-driven technologies.
Key Responsibilities:
Design, develop, and deploy advanced perception and deep learning models, including Vision-Language Models (VLMs) and Large Language Models (LLMs), for real-time system integration.
Build and optimize scalable data pipelines to support data mining, annotation, model training, and evaluation for on-device applications.
Conduct R&D in perception algorithms to address complex real-world challenges such as object detection, semantic segmentation, road scene understanding, and motion prediction.
Implement robust, multi-modal sensor fusion frameworks to enhance system reliability for autonomous operations.
Collaborate closely with the Perception team and cross-functional groups to refine and evolve models used across the WeRide platform.
Qualifications:
Currently pursuing or recently completed a degree in Computer Science, Robotics, or a related technical field.
Strong programming skills in C++ and/or Python.
Hands-on experience in one or more of the following domains: machine learning, robotics, computer vision, LiDAR, or data mining.
Solid understanding of data structures, 3D geometry, and advanced algorithms.
Strong background in key robotics concepts such as state estimation, 3D reconstruction, and visual odometry.
Excellent software engineering and computational skills.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
-
Experience
🧙♂️ entry-level
-
Working model
hybrid
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Skills
-
Industry
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