The primary focus of this role is to plan, develop, and execute verification and performance validation activities for new and existing processor and platform features, ensuring high-quality, bug-free deliverables. The role requires strong expertise in workload performance engineering, Linux-based systems, and robotics platforms.

Key Responsibilities :

– Drive workload performance analysis, benchmarking, profiling, and optimization across Linux and Robotics platforms.

– Perform system-level and SoC-level debugging, bottleneck analysis, and performance tuning.

– Analyze and optimize workloads across CPU, GPU, memory, PCIe, and system architecture components.

– Work with robotics software frameworks such as ROS/ROS2 and related performance-sensitive applications.

– Collaborate with cross-functional and geographically distributed teams on multiple concurrent projects.

– Develop and maintain automation, validation, and benchmarking tools using C/C++, Python, Perl, or similar scripting/programming languages.

– Present technical findings, performance insights, and optimization recommendations to engineering teams and stakeholders.

– Contribute to continuous improvement initiatives in development methodologies, validation processes, and performance analysis workflows.

Required Skills & Experience :

– 8 to 12 years of experience in workload performance engineering and system performance analysis.

– Minimum 5+ years of experience in the Robotics domain.

– Strong understanding of Linux-based benchmarking and performance validation.

– Solid knowledge of computer hardware architecture including CPU/APU, x86 architecture, PCIe, memory subsystems, and system-level performance characteristics.

– Experience with robotics software architecture and frameworks (ROS/ROS2).

– Strong debugging and analytical skills at both system and SoC levels.

– Familiarity with virtualization and server environments such as Linux, Windows Server, VMware, and KVM.

– Hands-on experience with containerized environments and performance workflows.

– Strong communication, collaboration, and problem-solving skills.

– Ability to work independently while effectively contributing within a team environment.

Preferred Experience :

– Test planning and test development for industry-standard workloads.

– Performance profiling, workload characterization, and benchmark analysis.

– Exposure to virtualization, container ecosystems, and automation frameworks.

– Experience with performance analysis tools and system diagnostics.

Educational Qualifications :

– Bachelors or Masters degree in Computer Engineering, Electrical Engineering, Electronics, Computer Science, or a related field.