Physical AI & Robotics Specialist Master

Deloitte10 months ago
Pittsburgh, PA, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

A Specialist Master at Deloitte has deep expertise in a subject area and works within an engagement team to identify the organization's needs, define the business or technology architecture, plan how large projects will be delivered, oversee the solution design and implementation, manage the progress of the team and activities, and confirm work products meet our firm's and the client's quality standards. They are also expected to mentor and coach staff, contribute to sales activities, and develop eminence through writing papers and/or presenting at conferences.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Key Responsibilities

  • Advise clients on leading practices and technology/industry trends, application/integration architecture, solution design, and implementation practices while building lasting relationships with key client managers and staff.
  • Leverage functional and technical expertise to deliver solutions that help clients achieve their business strategies; present technical alternatives and recommendations aligned with client requirements, and contribute to project estimating, planning, contracting, and staffing activities.
  • Participate in sales pursuits as a team member or subject matter advisor, including presenting proposals to position Deloitte as the preferred supplier and maintaining trusted advisor relationships with client stakeholders.
  • Mentor and coach staff, actively participate in recruiting and onboarding activities, develop staffing plans, screen candidates, and support performance management processes.
  • Contribute to go-to-market and internal initiatives that drive practice growth, efficiency, profitability, and staff knowledge through co-authoring articles, whitepapers, or presentations and speaking at conferences or other forums.
  • Design, prototype, and implement robotic systems that integrate AI-driven perception, planning, and control.
  • Develop and optimize algorithms for motion planning, machine vision, sensor fusion, and reinforcement or imitation learning.
  • Implement Physical AI principles to ensure AI models function reliably when interfacing with mechanical hardware in real-world conditions.
  • Collaborate with hardware engineers on actuator design, sensor integration, and embedded AI processors (e.g., PIM or neuromorphic chips).
  • Conduct system-level testing, simulation, and validation for operational safety, robustness, and performance.
  • Integrate cloud and edge AI platforms with robotics systems for real-time decision-making.
  • Document designs, experiments, and results while contributing to knowledge-sharing across engineering teams.

Required Qualifications

  • 6+ years of experience delivering AI/ML solutions.
  • 2+ years of hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and deploying models onto hardware.
  • 4+ years of hands-on experience building AI/ML solutions using Python.
  • 2+ years hands-on experience in robotics engineering, including:
    • Control systems, kinematics, dynamics, mechatronics, and hardware-software co-design.
    • Development with ROS, path planning, SLAM, reinforcement learning, and simulation tools.
    • Practical integration of sensors, actuators, and microcontrollers.
  • 1+ years of experience leading, managing, and delivering complex AI solutions engagements.
  • Bachelor's or Master's in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related fields.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 50% on average, based on client and industry requirements.

Preferred Qualifications

  • Familiarity with neuromorphic computing, AI edge chips, or Physical AI architectures.
  • Experience in human-robot interaction, collaborative robotics (cobots), or autonomous systems.
  • Strong track record of publishing or developing innovative robotics/AI solutions.
  • Advanced degree in Robotics, Physical AI, or AI Engineering.
  • Prior consulting experience in client-facing delivery roles.
  • Experience in creating critical collaterals for client workshops and customer interactive sessions.
  • Presentation skills with comfort addressing both large and small audiences.
  • Demonstrated experience with the sales cycle by framing client opportunities and contributing to proposal content.

Benefits & Perks

  • You may also be eligible to participate in a discretionary annual incentive program, subject to the program rules and based on individual and organizational performance.

Required Skills

ROS
PyTorch
Hardware-Software Co-design
Sensor Integration
SLAM
Python
Control Systems
Physical AI
Embedded AI
Machine Vision
Path Planning
TensorFlow
Cloud Integration
AI/ML Solutions
Robotics Engineering
Reinforcement Learning