Deevia Software - Robotics Engineer - C++/Linux
📌Bengaluru, India 🇮🇳
⏱︎ full-time
🧙♂️ mid-level
on-site
Deevia Software India Private Limited is a premier software products company based in Bangalore, India.
We have a strong reputation in the industry for consistently delivering solutions that exceed customer expectations.
Our expertise spans across Automotive Embedded, AI, System Software, Embedded System development, Porting and Optimization, Deep Learning Frameworks, Image Processing, Computer Vision, IoT, Cloud Solutions, Database Design, Backend and Native Development, Frontend Development, UI Frameworks, Integration Support, Digital Signal Processing, and Multimedia Frameworks.
Our team takes pride in delivering high-quality solutions in a variety of areas, including automotive, manufacturing, retail, sports, and medical Description.
This is a full-time on-site role in Bangalore Urban for a Robotics Engineer.
The Robotics Engineer will be responsible for creating and implementing robotics algorithms, developing simulations to model and test robot performance, designing and integrating electronic and mechanical components, and collaborating with other team members to develop efficient and effective Experience: 3 to 7 years.
Mode of Work : From Office.
Notice: Immediate to 30 days.
Educational Qualification: B.Tech/M.Tech/PhD.
Mandatory Skills: C++, Linux, SLAM/navigation into ROS.
Job Description
- Strong Design/Programming competency using C++
- Excellent with Linear Algebra, Geometry, Probability and Statistics
- Experience in Motion Planning, Behavior Planning and Path Planning
- Working Experience in ROS/ROS2 Navigation Stack
- Implementation expertise or knowledge of various algorithms, including A-, Dijkstra, RRT, DWA, Trajectory Planner, TEB, etc.
- Preferably, practical experience with Mobile Robots, specifically with 2D/3D LIDAR
-
Fundamental understanding of mobile robot dynamics and kinematics
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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Working model
on-site
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Skills
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Industry
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