Peer Robotics is revolutionizing manufacturing automation with collaborative mobile robots designed to work seamlessly with humans. Our robots are designed to learn from humans in real-time, making automation accessible to Small and Medium Manufacturers across the US. We're headquartered in New Haven, CT, with operations in Detroit, MI, and are experiencing rapid growth with deployments across automotive, electronics, warehousing, and manufacturing sectors.
Role Overview
We're seeking a talented Robotics Engineer to join our growing engineering team and contribute to the development of next-generation collaborative mobile robots. You'll work on cutting-edge features across our technology stack including vision systems, navigation algorithms, and path planning while supporting field deployments and customer integrations.
Key Responsibilities
- Feature Development (70%)
- Vision Systems: Develop and optimize computer vision algorithms for object detection, asset recognition, and environmental understanding.
- Navigation & SLAM: Implement and enhance simultaneous localization and mapping algorithms for dynamic manufacturing environments.
- Path Planning: Design path planning algorithms that account for static and dynamic obstacles while navigating assets of varying dimensions.
- Edge AI: Optimize deep learning models for real-time inference on embedded AGX Platfroms
- Integration and Deployment Support (30%)
- Collaborate with field teams to integrate robots into customer facilities
- Debug and resolve technical issues during deployment phases
- Conduct on-site testing and validation of robotic systems
- Work with System Integrators to customize solutions for specific customer needs
-
Support POC (Proof of Concept) development and demonstrations
- Required Skills
- Programming: Proficient in Python and C++, experience with ROS/ROS2
- Computer Vision: Experience with OpenCV, PCL, or similar vision libraries
- Machine Learning: Familiarity with deep learning frameworks (PyTorch, TensorFlow)
- Mathematics: Strong foundation in linear algebra, probability, and control theory
- Hardware Integration: Experience with sensors (LiDAR, cameras, IMU) and embedded systems
- Preferred Skills
- Experience with VSLAM algorithms (RTAB Mapping, ORB-SLAM, etc.)
- Knowledge of motion planning libraries
- Familiarity with industrial automation protocols and safety standards
- Experience with edge computing and GPU optimization (CUDA, TensorRT)
- Understanding of manufacturing environments and material handling processes
-
Experience with git, Docker, and agile development practices
- Growth Opportunity: Join during our growth phase with significant career advancement potential
- Innovation Focus: Work on cutting-edge human-robot collaboration technology
- Impact: Directly contribute to reshoring American manufacturing
- Benefits: Comprehensive health, dental, vision insurance
- Collaborative Environment: Work with a world-class team across US and India
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.
Other similar jobs
GPU SW Engineer
@ Huawei Technologies Research & Development (UK) Ltd, 📍United States 🇺🇸
Alternance - Ingénieure/Ingénieur "Edge Computing"
@ EDF, 📍United States 🇺🇸
SOC Engineer
@ Hitachi Digital, 📍United States 🇺🇸
Embedded Cyber Security Engineer
@ AeroVironment, 📍United States 🇺🇸
Embedded Controls Engineer
@ Actalent, 📍United States 🇺🇸
Embedded Systems Engineer
@ Allied OneSource, 📍United States 🇺🇸
Embedded RTOS Lead Engineer
@ Carrier, 📍United States 🇺🇸
Embedded RTOS Engineer
@ Carrier, 📍United States 🇺🇸
Embedded Engr I
@ Honeywell, 📍United States 🇺🇸
Technical Lead Engineer, Embedded Systems
@ Lam Research, 📍United States 🇺🇸
-
Employment
⏱︎ full-time
-
Experience
🧙♂️ mid-level
-
Skills
-
Industry
-
Find similar jobs
GPU SW Engineer
@ Huawei Technologies Research & Development (UK) Ltd, 📍United States 🇺🇸
Alternance - Ingénieure/Ingénieur "Edge Computing"
@ EDF, 📍United States 🇺🇸
SOC Engineer
@ Hitachi Digital, 📍United States 🇺🇸
Embedded Cyber Security Engineer
@ AeroVironment, 📍United States 🇺🇸
Embedded Controls Engineer
@ Actalent, 📍United States 🇺🇸
Embedded Systems Engineer
@ Allied OneSource, 📍United States 🇺🇸
Embedded RTOS Lead Engineer
@ Carrier, 📍United States 🇺🇸
Embedded RTOS Engineer
@ Carrier, 📍United States 🇺🇸
Embedded Engr I
@ Honeywell, 📍United States 🇺🇸
Technical Lead Engineer, Embedded Systems
@ Lam Research, 📍United States 🇺🇸