New opportunity

Custom Software Engineer

Accenture · Bengaluru, India

About this role

Accenture's Next Gen Robotics Team is seeking a Senior lead to drive next-generation robotics innovation at the intersection of technology, industry, and society. The role focuses on developing and delivering scalable robotics solutions, including AMRs, autonomous drones, quadrupedal robots, and AI-powered robotic systems, for global industrial clients.

Responsibilities

Provide technical leadership for robotics innovation projects, including architecture, implementation, integration, and deployment for global industrial clients.
Design and develop scalable robotics architectures focused on autonomy, Physical AI, AI integration, real-time systems, and simulation.
Lead interdisciplinary delivery teams of 3–10 people across PoC, pilot, and production rollout phases.
Drive technology evaluations, benchmarking, venture screening, and the development of robust robotics demonstration and test environments.
Collaborate closely with clients, technology partners, and Accenture industry teams to define roadmaps and transition robotics solutions into productive implementations.
Contribute to the Next-Gen Robotics strategy, including technology roadmaps, partner ecosystem development, innovation initiatives, and internal technical enablement.
Provide technical guidance and mentorship to robotics engineers and contribute to the development of robotics capabilities within the Centre of Excellence (CoE).

Required qualifications

Minimum 5 years of experience in robotics, consulting, software engineering, or technically focused engineering projects.
Strong academic background in Robotics, Computer Science, Engineering, or a related discipline (Master's or PhD preferred).
Hands-on expertise with modern robotics technology stacks, including ROS2, Motion Planning, Sensor Fusion, and robotics simulation using NVIDIA Isaac Sim, MuJoCo, and/or Gazebo.
Strong software development expertise in Python and C++.
Experience with clean-code practices, Git, CI/CD, software architecture, and engineering best practices.
Strong understanding of AI/ML, Computer Vision, robotics design, autonomous systems, and simulation.
Demonstrated experience working as a Robotics Architect, Lead Engineer, Technical Lead, or Integrative Technology Specialist in interdisciplinary environments.
Strong technical communication skills and English proficiency at C1 level or above.
Minimum 15 years of full-time education.

Preferred qualifications

Experience with Physical AI platforms and integration of humanoid or quadrupedal robots.
Experience with autonomous systems such as AMRs, autonomous drones, quadrupeds, or AI-powered service robots.
Exposure to venture screening, technology scouting, technology benchmarking, or emerging robotics ecosystem evaluation.
Consulting and/or client-facing experience within industrial automation, manufacturing, automotive, life sciences, or other industrial domains.
Experience in developing robotics PoCs and successfully transitioning them into pilot and production environments.
Experience with robotics technology strategy, partner ecosystem development, or Centre of Excellence (CoE) initiatives.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

ROS2Motion PlanningSensor FusionNVIDIA Isaac SimMuJoCoGazeboPythonC++GitCI/CDSoftware ArchitectureAI/MLComputer VisionAutonomous SystemsPhysical AI

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Scalable Robotics Architecture Design
The role requires designing and implementing robust, scalable robotics systems using ROS2, C++, and Python. You must demonstrate the ability to move beyond simple prototypes to industrial-grade solutions that integrate autonomy, sensor fusion, and real-time processing within simulation environments like NVIDIA Isaac Sim or Gazebo.
Technical Leadership and Delivery
You will lead interdisciplinary teams of 3-10 people through the full lifecycle of robotics projects, from Proof of Concept (PoC) to production rollout. Success depends on your ability to mentor junior engineers, manage technical delivery, and ensure high-quality software engineering practices are maintained throughout the development process.
Strategic Client Engagement and Ecosystem Development
Beyond engineering, you must act as a bridge between emerging robotics technology and industrial client needs. This involves defining technology roadmaps, conducting venture screening, and collaborating with partners to transition innovative robotics concepts into productive, value-driven implementations for global clients.

Likely challenges to think through

Bridging the Gap Between PoC and Production
A common challenge in industrial robotics is the difficulty of scaling a successful pilot into a reliable, production-ready system. Prepare by discussing specific strategies for managing technical debt, ensuring system stability in unpredictable real-world environments, and maintaining rigorous CI/CD pipelines for robotics software.
Managing Diverse Stakeholder Expectations
As a lead working with global industrial clients, you will need to translate complex technical robotics concepts into business value. Prepare by practicing how you communicate technical risks, project timelines, and architectural trade-offs to non-technical stakeholders while maintaining the integrity of the robotics solution.

Practice your answers

Technical practice

Designing Scalable Robotics Architectures

What to coverExplain your approach to designing a modular robotics architecture that supports autonomy and real-time processing. Discuss how you ensure scalability when transitioning from a Proof of Concept (PoC) to a full-scale industrial production environment.

ROS2 and Middleware Integration

What to coverDescribe your experience with ROS2 in complex, multi-robot or high-reliability systems. Focus on how you manage node communication, lifecycle management, and data distribution in environments requiring low latency.

Simulation-to-Reality (Sim-to-Real) Pipelines

What to coverDiscuss your workflow for using tools like NVIDIA Isaac Sim, MuJoCo, or Gazebo to validate robotics algorithms. Explain how you address the 'reality gap' when deploying models trained in simulation to physical hardware.

Sensor Fusion for Autonomous Navigation

What to coverDetail your experience implementing sensor fusion algorithms to improve localization and mapping accuracy. Explain how you handle sensor noise and data synchronization from disparate sources like LiDAR, IMUs, and cameras.

Motion Planning in Dynamic Environments

What to coverDescribe the motion planning strategies you have implemented for AMRs or quadrupedal robots. Compare different path-planning algorithms and explain how you ensure safety and efficiency when navigating environments with moving obstacles.

Physical AI and Machine Learning Integration

What to coverHow do you integrate AI/ML models into the robotics control loop? Discuss the challenges of deploying computer vision or reinforcement learning models on edge hardware while maintaining real-time performance.

CI/CD for Robotics Software

What to coverExplain how you implement CI/CD pipelines for robotics projects to ensure code quality and system stability. Address how you incorporate automated testing and simulation-based regression testing into your deployment workflow.

Benchmarking and Technology Evaluation

What to coverDescribe your process for evaluating emerging robotics technologies or hardware platforms for industrial clients. How do you define metrics to benchmark performance, reliability, and ROI for a potential technology adoption?

Behavioural practice

Leading Interdisciplinary Delivery Teams

What to coverDescribe a time you led a team of 3-10 people with diverse technical backgrounds. How did you align the team on project goals, manage technical disagreements, and ensure the successful delivery of a robotics milestone?

Managing Client Expectations in Innovation Projects

What to coverProvide an example of how you communicated technical risks or roadmap changes to a non-technical client stakeholder. How did you balance their business requirements with the technical constraints of the robotics solution?

Mentorship and Capability Building

What to coverTell me about a time you mentored junior engineers or contributed to a Centre of Excellence (CoE). What specific actions did you take to improve the team's technical capabilities or standardize engineering practices?

Navigating Project Transitions

What to coverDescribe a situation where you had to transition a robotics project from a pilot phase to a production rollout. What were the biggest challenges you faced, and how did you ensure the system was robust enough for industrial use?

Sharpen your knowledge

Topics to prepare

Robotics System Architecture
Focus on designing scalable, modular architectures for autonomous systems. Exercise: Draft a high-level system design for an industrial AMR deployment, detailing the integration between perception, motion planning, and cloud-based fleet management. This is relevant to the requirement for designing scalable architectures for global industrial clients.
Technology Strategy and Benchmarking
Understand how to evaluate emerging robotics technologies for industrial viability. Exercise: Create a framework for benchmarking a new robotic platform against existing solutions, considering factors like cost, scalability, and integration complexity. This aligns with the responsibility to drive technology evaluations and venture screening.

Skills to revise

ROS2 and Simulation Integration
Demonstrate proficiency in ROS2 and simulation environments. Exercise: Build a simulation environment in NVIDIA Isaac Sim or Gazebo that tests a navigation algorithm for a quadrupedal robot. This directly addresses the hands-on expertise required for modern robotics technology stacks.
C++ and Python for Real-Time Systems
Focus on writing clean, performant code for robotics. Exercise: Refactor a Python-based prototype into a C++ node to improve real-time performance in a ROS2 environment. This is essential for the software development expertise required for industrial-grade robotics solutions.
Sensor Fusion and Perception
Implement algorithms to combine data from multiple sensors. Exercise: Develop a sensor fusion pipeline that integrates LiDAR and camera data to improve obstacle detection accuracy. This is critical for the autonomous systems and computer vision requirements mentioned in the job description.

Your preparation checklist

Prepare a Robotics Project Case Study
Draft a structured walkthrough of a past robotics project where you led a team from PoC to production. Highlight your specific role in architecture design, integration of ROS2, and how you managed technical challenges in simulation environments like NVIDIA Isaac Sim or Gazebo.
Develop a Technical Strategy Presentation
Create a brief presentation outlining how you would approach a robotics innovation roadmap for an industrial client. Include your methodology for technology benchmarking, venture screening, and balancing Physical AI integration with real-time system constraints.
Review Software Engineering Best Practices
Prepare to discuss your experience with clean-code standards, CI/CD pipelines for robotics, and Git workflows. Be ready to explain how you ensure scalability and maintainability in complex, interdisciplinary robotics codebases.
Formulate Targeted Questions for the Interviewer
Prepare insightful questions regarding the current focus of the Next-Gen Robotics CoE, how the team balances client-specific customization with scalable platform development, and the typical composition of the interdisciplinary teams you would lead.
Refine Technical Communication for Stakeholders
Practice explaining complex robotics concepts, such as sensor fusion or motion planning, to non-technical stakeholders. Focus on articulating the business value and ROI of robotics solutions to align with the consulting nature of the role.

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