Senior Offensive Security Engineer-Web&AI

FocusKPI Inc. • Mountain View, CA

1d • $50 • Onsite

About The Position

FocusKPI is seeking a Senior Offensive Security Engineer-Web&AI to join one of our clients, a high-tech SaaS company. Work Location: Mountain View, CA (Onsite role, 4 days/week onsite) Duration: 12-month contract with potential to convert depending on the candidate's performance Pay Range: $50+/hr No C2C resumes are considered Position Responsibilities: Design and evaluate the suitability of robotic hardware, sensors, and software for applications in semi-structured and unstructured environments targeting high impact business areas Integrate sensors, actuators and other component into proof-of-concept/prototype robotic systems and analyze and optimize robotic system performance and accuracy Design, develop, integrate and test algorithms for robot perception, control, learning, navigation, and manipulation Develop and deploy data collection and model management mechanisms for in-the wild data aggregation Work within cross-functional, cross-divisional teams and assist in the design, analysis and performance evaluation from concept to completion Document and present results evaluating algorithms and models on targeted compute platforms Conduct pilot studies and formal experiments to benchmark performance against state-of-the-art approaches using clear and well-reasoned metrics

Requirements

• PhD or Master’s degree in EECS/Robotics or equivalent combination of education, training, and experience
• 3+ years’ industry experience in state-of-the-art robotics R&D, such as foundation models, vision-language-action (VLA) models, open-world 3D perception, trajectory prediction, model predictive control, and multimodal (visual, tactile, audio, semantic) information fusion
• Demonstrated experience in sensing, kinematics, dynamics, and control systems integrated on real robotic systems
• Solid understanding of computer vision techniques (e.g., object detection, segmentation, tracking) and multi-view image processing
• Knowledgeable of tools and processes to monitor ML model performance and data quality, including model tuning experience
• Familiarity with PyTorch, TensorFlow, C++, ROS, and CUDA
• Demonstrated experience in software engineering best practices to track, communicate, and document project progress
• Strong understanding of robotics fundamentals, including locomotion, manipulation, sensor inputs, pose tracking, 3D mapping, SLAM, ROS, and policy architectures particularly for semi-structured and unstructured environments
• Excellent problem-solving skills and the ability to work independently and as part of a team
• Excellent verbal communication and writing skills to effectively represent the derived results and technical concepts developed in the course of the work

Responsibilities

• Design and evaluate the suitability of robotic hardware, sensors, and software for applications in semi-structured and unstructured environments targeting high impact business areas
• Integrate sensors, actuators and other component into proof-of-concept/prototype robotic systems and analyze and optimize robotic system performance and accuracy
• Design, develop, integrate and test algorithms for robot perception, control, learning, navigation, and manipulation
• Develop and deploy data collection and model management mechanisms for in-the wild data aggregation
• Work within cross-functional, cross-divisional teams and assist in the design, analysis and performance evaluation from concept to completion
• Document and present results evaluating algorithms and models on targeted compute platforms
• Conduct pilot studies and formal experiments to benchmark performance against state-of-the-art approaches using clear and well-reasoned metrics

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 51-100 employees