Robotics Engineer, Perception III
📌Fort Smith, United States 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
At the core of our Vaux Smart Autonomy and Vaux Vision system is our drive to extract both semantic and geometric insights from visual data. We are enhancing our AMR capabilities to innovate in intelligent warehouse robotics, developing systems that can autonomously navigate unfamiliar environments while delivering significant operational benefits. If you're driven by challenging problems in computer vision and autonomy and are eager to apply deep learning to real-world challenges, we look forward to hearing from you.
Responsibilities
Your contribution may include:
- Architect full-stack vision solutions.
- Investigate novel computer vision approaches to optimize — or reimagine — the performance of our vision systems.
- Leverage vast amounts of real-world video and other sensor data for data mining, curation, labeling, training, and evaluation.
- Lead efforts to enhance computer vision training sets.
- Refine and optimize models for low latency on embedded hardware.
- Develop and optimize GPU-accelerated applications.
- Implement models, data pipelines, and active learning in real-world use cases driven by customer demands.
- Lead and mentor junior engineers, contributing to the development of their skills.
- Help build an effective AI team by establishing best practices, fostering an inclusive culture, and advocating for positive change.
- Apply Agile development methodologies and Continuous Integration (CI) principles in software development and maintenance.
- Develop and document system requirements, and allocate and decompose them into components.
- Engage with senior leadership and external customers to provide updates, seek guidance, deliver presentations, address challenges, and showcase project results.
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Other duties and projects, as assigned.
Other Details
Work schedule: Generally, 8:00 am - 5:00 pm with occasional irregular hours depending on workload.
Ready to apply? Before doing so, please make sure you meet the minimum requirements:
Requirements
Education:
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Master's Degree Robotics, Computer Science, or equivalent experience. Required
- 4 years Experience writing production level code in C++/Python.
- 2 years Robotics Engineer, Perception II or equivalent experience, preferred.
- Demonstrated ability to initiate and lead large-scale technical projects.
- Demonstrated ability to work with large scale vision-based datasets.
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Experience with autonomous mobile robots, ROS2, Docker and version tracking(i.e., GitHub).
- Strong software engineering skills in design, containerization, testing, and debugging. Required
- Familiarity with various imaging modalities and multiple sensor domains (camera, 3d and 2d lidar). Required
- Knowledge of cameras and image processing. Required
- Experience deploying CV/ML models in real-world applications. Required
- Framework & Libraries: PyTorch, OpenCV, NumPy. Required
- Experience with fast-paced iteration of prototypes/products. Required
- Experience with segmentation, object detection and advanced data augmentation. Preferred
- Experience with cloud computing, databases, and storage. Preferred
- Familiarity with the GStreamer framework and knowledge of networking are a plus. Preferred
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Familiarity with CUDA programming. Preferred
- Effective collaboration, team work, and communication skills.
- Startup ready mentality.
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Proficient in Microsoft Office Suite.
ArcBest Technologies, ArcBest's tech and innovation team, provides custom-built solutions and leading-edge technologies that help our customers successfully navigate the complex supply chain landscape. The team is made up of highly engaged, creative tech and analytics professionals who create smart solutions that help keep the global supply chain moving.
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
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Experience
🧙♂️ mid-level
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Skills
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Industry
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