Embedded Software Development Engineer with Robotics

Tekskills; Bangalore Rural, Bengaluru; On-site; INR 1,400,000 - 1,800,000; Full time

Job summary

Tekskills in Bangalore is hiring a Robotics Developer focusing on Embedded Software/Firmware for robotics platforms. You will validate hardware/software stacks, including ROS 2, navigation, motion planning, and SLAM, using Gazebo/Ignition simulations and containerized workflows.

Exposure to virtualization, graphics stacks, and sensor integration is required. The role expects strong hands-on robotics experience.

Qualifications

• Hands-on experience with Embedded Linux (Ubuntu LTS, Yocto) and robotics validation.
• Strong ROS 2 and robotics fundamentals including navigation, motion planning and control.
• Experience with Gazebo/Ignition for simulation-driven test plans and validation.
• Familiarity with virtualization and containerized workflows using Docker/Podman.
• Knowledge of graphics stacks (Vulkan/OpenGL) and visualization in simulators.
• Sensor frameworks like V4L2; integration of cameras, IMU, LiDAR when applicable.

Skills

Embedded Linux

ROS 2

Navigation

Motion planning

Control

SLAM

Graphics pipelines

Tools

Docker

Podman

Gazebo

Ignition

Vulkan

OpenGL

Xen Hypervisor

V4L2

Job description

Hi

We are hiring for Robotics Developer : Embedded Software/Firmware Development

Location:~BANGALORE~
Exp: 6 to 8
Role Descriptions: Each Supplier Personnel engaged in Robotics Software Driver Use Case Validation must have no less than 3 years of experience in the following technical areas:

• Hands-on experience with Embedded Linux (Ubuntu LTS, Yocto) and system use-case validation for robotics platforms.
• Strong validation expertise in ROS 2 and robotics fundamentals, including:
• Navigation
• Motion planning
• Control
• SLAM for autonomous robotic systems
• Experience with robotics simulation tools such as Gazebo and Ignition, including simulation-driven test plan development and validation.
• Proficiency in heterogeneous compute acceleration for robotics workloads using:
• CPU
• GPU
• NPU
• ROCm/HIP
• Accelerated perception and AI pipelines
• Experience validating graphics stacks (Vulkan and OpenGL) and integrating visualization and rendering into robotics applications and simulators.
• Experience with containerized robotics development and validation workflows using Docker and Podman for reproducible environments.
• Familiarity with sensor and camera frameworks such as V4L2 and integration of robotics sensors, including:
• Camera
• IMU
• LiDAR, where applicable
• Exposure to virtualization in embedded or robotics environments, such as Xen Hypervisor, and multi-OS robotics stacks when required.
• Understanding of requirements-to-test traceability, release qualification, and validation processes using structured requirement management workflows.