Robotics Hardware Engineer
📌San Francisco, United States 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
on-site
What We Do
We start by collecting the most valuable data for farmers, telling them everything about what is growing on their millions of trees, across thousands of acres of farmland. We do this using advanced camera systems we build, that take pictures of every one of the billions of fruit in a farm. This data lives in our cloud data platform, FruitScope, that we've developed from the ground up to help farmers manage their crops with precision.
Farmers across the nation use our industry-leading software to look at their data, make critical decisions, and command farming operations on a daily basis. Our technology is used today across some of the largest farms in the nation.
The Role
Here at Orchard Robotics, our AI-powered camera systems collect precision data about fruit on tens of millions of trees.
To do this, we've built a custom assembly of camera hardware (our FruitScope Vision System ) that is responsible for collecting data in the most challenging, outdoor farm environments. Our cameras mount onto tractors, ATVs, and farm vehicles, and are driven through the fields day and night, rain or shine, to collect precise data about the billions of fruit on a farm.
We are looking for a Robotics Hardware Engineer who will utilize their extensive experience with camera sensors, embedded compute (NVIDIA Jetson), and deep knowledge in systems like GNSS and IMU to invent creative, pragmatic, and robust solutions to real-world computer vision problems.
If you're looking to help make a positive impact in the world by transforming the future of agriculture, come join us.
About The Role
- As an early engineer, you'll receive generous equity compensation
- Full-time role at our San Francisco, CA office
- Flexible working hours
- Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium
- We move fast, and sometimes this means staying late or working weekends
- Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team
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We’re deeply motivated by the impact we’re making – every new system deployed means much less food that goes to waste, and many more people who are fed.
- Prototype new iterations of our camera assemblies and hardware, including compute, cameras, GNSS, and other sensors in our FruitScope Vision Systems.
- Work with embedded compute (NVIDIA Jetson) to interface and synchronize camera sensors, IMU, GNSS, etc.
- Characterize the performance of sensors like GNSS in different operating environments.
- Ensure robustness of our systems across many different crops and real-world conditions.
- Create thorough test procedures to ensure the accuracy and reliability of our systems.
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Be a generalist, supporting different parts of our software and hardware if needed.
- Hands-on experience designing & developing robotics hardware from the ground up.
- Experience working with camera hardware, software, and image data processing in real-world, uncontrolled, outdoor environments.
- Deep experience with sensors like GNSS.
- Experience with embedded systems that require a high throughput of precise data collection, and tight synchronization between sensors.
- Practical experience in building robust, high-performing embedded hardware solutions.
- Familiarity with camera and sensor data protocols (such as GMSL2, MIPI).
- You aren't afraid of moving fast, and are comfortable with a lot of autonomy.
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You are comfortable working on all parts of the software & hardware stack.
- Experience synchronizing and fusing data from sensors like GNSS and IMU.
- Experience working with stereo vision.
- Knowledge of electrical engineering and PCB design.
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Knowledge of CAD and hardware design.
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
-
Working model
on-site
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Skills
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Industry
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