Embedded Software Development Engineer with Robotics

Tekskills Inc.; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tekskills Inc. is hiring a Robotics Developer focused on Embedded Software and Firmware for robotics platforms.

The role requires hands-on work with embedded Linux (Ubuntu LTS, Yocto), ROS 2, and validation of robotics use cases across navigation, motion planning, control, and SLAM. You will work with Gazebo/Ignition simulations, heterogeneous compute (CPU/GPU/NPU/ROCm), and containerized workflows using Docker/Podman.

Qualifications

• 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 and control.
• Familiarity with SLAM for autonomous robotic systems and robotics simulation tools such as Gazebo and Ignition.

Skills

Embedded Linux

ROS 2

Navigation

Motion planning

Control

SLAM

V4L2

Docker

Podman

Gazebo

Ignition

Xen Hypervisor

ROCm/HIP

GPU acceleration

Tools

Gazebo

Ignition

Docker

Podman

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.