Robotics Perception Architect

SoftServe; Mexico; On-site; PHP 7,389,162 - 11,083,743; Full time

Job summary

SoftServe seeks a senior robotics architect to lead end-to-end perception system architecture for outdoor vehicles, spanning sensor selection and real-time processing.

You will design scalable perception solutions with CV, ML, ROS/ROS2, SLAM, and MoveIt, collaborating with clients to translate requirements into roadmaps and technology decisions.

Qualifications

• 8+ years of software development in C/C++ and Python; 4+ years in lead or architect roles.
• Hands-on AI-based robotics perception and production environments.
• Strong ML/vision tools: TensorFlow, PyTorch, OpenCV; ROS/ROS2; object detection, segmentation, tracking.

Responsibilities

• Define and own end-to-end architecture of robotics perception systems.
• Design scalable perception solutions integrating CV, sensors, AI/ML, and localization across edge and cloud.
• Collaborate with clients to translate requirements into architecture blueprints and roadmaps.
• Establish AI/ML strategies for perception including data lifecycle management and deployment.
• Integrate perception components into broader robotics systems (navigation, manipulation, planning).
• Drive performance optimization balancing latency, accuracy, and resources in real-world conditions.
• Lead engineering teams through reviews, mentoring, and architectural standards.

Skills

C/C++

Python

AI robotics perception

Computer vision

ROS/ROS2

MoveIt

Cloud platforms

Unix/Linux

Tools

TensorFlow

PyTorch

OpenCV

Job description

About The Role

In this role, you'll collaborate on a long‑term initiative together with a globally recognized industry leader. The project focuses on advancing physical AI and multi‑fleet management systems, aimed at significantly enhancing the performance and efficiency of outdoor vehicles. This is a unique opportunity to work at the intersection of robotics, AI, and real‑world hardware, where solutions go beyond simulation into practical application. The team is involved not only in building new capabilities but also in retrofitting existing systems with intelligent components, bringing innovation to already deployed equipment.

Responsibilities

• Define and own end‑to‑end architecture of robotics perception systems, covering sensor selection, data pipelines, and real‑time processing workflows
• Design scalable, modular perception solutions integrating computer vision, sensor fusion, AI/ML, Physical AI, and localization across edge and cloud environments
• Collaborate with clients and cross‑functional teams to translate business requirements into architecture blueprints, road maps, and technology decisions
• Establish AI/ML strategies for perception, including model selection, data lifecycle management, and deployment aligned with performance requirements
• Integrate perception components into broader robotics systems — navigation, manipulation, planning — ensuring clean interfaces and interoperability
• Drive performance optimization by balancing latency, accuracy, and resource constraints in real‑world and safety‑critical conditions
• Lead engineering teams through design reviews, mentoring, and architectural standards enforcement across the full delivery lifecycle
• Explore emerging technologies, validate new approaches, and build reusable accelerators that strengthen the robotics consulting practice

Requirements

• 8+ years of software development experience in C/C++ and Python, including 4+ years in lead or architect roles
• Hands‑on expertise with AI‑based robotics perception, computer vision, and agentic systems in production environments
• Strong command of ML frameworks and robotics tooling: TensorFlow, PyTorch, OpenCV, ROS/ROS2, object detection, segmentation, tracking, and Point Cloud/RGB‑D processing
• Solid experience with SLAM, localization, mapping, motion planning for mobile platforms, and trajectory planning for robotic arms using MoveIt
• Practical knowledge of simulation and synthetic data generation tools such as Isaac Sim, Blender, or Genesis
• Experience deploying AI and CV models to production, including MLOps, CI/CD pipelines, and monitoring for complex systems
• Familiarity with cloud platforms (AWS, Azure) and Unix/Linux environments
• Strong mathematical foundation with the ability to design and implement efficient algorithms and software architectures

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.