Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on ... We help clients innovate, enhance, and manage their capabilities so they can grow and scale ...
Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on ... We help clients innovate, enhance, and manage their capabilities so they can grow and scale ...
Physical and Spatial AI Engineer III
$55.75 - $74.75/hr
... manage team progress, and ensure quality of work products. The role also includes mentoring, sales ... Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems ...
Physical and Spatial AI Engineer III
$55.75 - $74.75/hr
... manage team progress, and ensure quality of work products. The role also includes mentoring, sales ... Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems ...
... manage team progress, and ensure quality of work products. The role also includes mentoring, sales ... Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems ...
... manage team progress, and ensure quality of work products. The role also includes mentoring, sales ... Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems ...
Manager Nvidia Robotics information
What are the key skills and qualifications needed to thrive as a Manager Nvidia Robotics, and why are they important?
To thrive as a Manager Nvidia Robotics, you need a solid background in robotics, computer science or engineering, combined with proven leadership experience and a relevant degree. Familiarity with NVIDIA’s robotics platforms (such as Isaac SDK), AI frameworks, and project management tools is typically required, along with certifications in project management or engineering disciplines. Strong communication, problem-solving, and team leadership skills help drive cross-functional collaboration and innovation. These capabilities are crucial for successfully guiding technical teams, delivering complex robotics solutions, and maintaining a competitive edge in a fast-evolving industry.
What are the typical challenges faced by a Manager in Nvidia Robotics, and how can new hires prepare for them?
Managers in Nvidia Robotics often encounter challenges related to overseeing multidisciplinary teams, integrating cutting-edge AI and hardware solutions, and managing fast-paced project cycles. New hires can prepare by developing strong project management skills, staying current with robotics and AI advancements, and fostering effective communication between hardware, software, and research teams. Being adaptable and proactive in problem-solving is crucial, as the field rapidly evolves and projects may shift priorities based on technological breakthroughs or business needs.
What does a Manager of Nvidia Robotics do?
A Manager of Nvidia Robotics leads teams that develop, implement, and optimize robotics solutions using Nvidia's AI and GPU technologies. They oversee projects related to robotics hardware, software, and systems integration, ensuring products meet technical and business requirements. This role involves collaborating with engineers, researchers, and product managers to drive innovation and maintain project timelines. Additionally, the manager acts as a bridge between technical teams and upper management, helping to set strategic goals and allocate resources effectively.
What is the difference between Manager Nvidia Robotics vs Robotics Engineer?
| Aspect | Manager Nvidia Robotics | Robotics Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Engineering, Management experience | Bachelor's/Master's in Robotics, Mechanical, or Electrical Engineering |
| Work Environment | Team leadership, project management, strategic planning | Design, develop, test robotic systems |
| Industry Usage | Oversees robotics projects in tech and manufacturing | Builds and codes robotic systems in R&D labs |
The Manager Nvidia Robotics typically oversees robotics projects, requiring leadership and management skills, while Robotics Engineers focus on designing and developing robotic systems. Both roles are integral in the robotics industry but differ in responsibilities and daily tasks.
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Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
59th of 138 rated financial services
Job description
Architect, Physical & Spatial AI, OT Transformation
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 re-imagining and re-engineering operations and environments that are critical to business performance.
The role is focused on helping clients improve operational efficiency, accelerate digital transformation, modernize OT environments, and unlock new value through digital twin, spatial intelligence, and Physical AI-enabled solutions.
We are seeking a candidate with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate has worked across OT-heavy environments such as data centers, sports venues, and consumer/retail operations, and can translate business and operational needs into scalable architecture, platform, and transformation solutions. Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on either OT transformation design and deep technical solution architecture is ideal.
Recruiting for this role ends on 06/01/2026.
Work You'll Do
As an Architect at Deloitte, you are expected to bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and implementation, manage team progress, and ensure quality of work products. The role also includes mentoring, sales support, and contribution to market eminence.
* Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation
* Translate business and operational priorities into transformation roadmaps and technical strategies
* Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation
* Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation
* Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers
* Define technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge infrastructure, AI/ML services, spatial context, and enterprise applications
* Implement integration of physical/spatial AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-related ecosystems, and enterprise platforms
* Develop differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner
* Help shape Deloitte's market-facing capabilities focused on digital twins, OT transformation, and spatial/physical AI use cases across priority sectors
The Team
Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services. We help clients innovate, enhance, and manage their capabilities so they can grow and scale effectively.
In this role, you will work at the intersection of AI, engineering, operational technology, and industry transformation, helping clients bring together sensing, simulation, decisioning, and enterprise execution in real-world physical environments.
Qualifications
Required
* Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field
* 6+ years of relevant experience in consulting, industry, or a combination of both
* Experience working with clients on digital twin, spatial technologies, OT transformation, industrial/edge AI, or related operational technology initiatives
* Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services
* Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to
* NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments
* GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream, Earth Engine, Gemini/ Agent builder
* Strong product and platform strategy experience defining architecture, integration patterns, and implementation approaches for environments involving OT systems, telemetry, AI services, and enterprise platforms
* Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
* Limited immigration sponsorship may be available.
Preferred
* Consulting experience strongly preferred, particularly in client-facing strategy, architecture, or transformation delivery roles
* Experience in data center, sports venue, consumer, or retail environments
* Experience developing client-ready materials for workshops, solution framing sessions, and stakeholder presentations
* Experience contributing to proposal development, pursuit teams, or opportunity shaping activities
* Familiarity with operational use cases such as asset monitoring, predictive maintenance, facility performance, workforce enablement, computer vision, loss prevention, safety/compliance monitoring, or spatial operations
* Experience with enterprise integration, IT/OT convergence, and real-time operational decision support
* Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related discipline
* Strong presentation skills and comfort communicating with both business and technical audiences
* Experience leading or coordinating multidisciplinary teams in complex solution delivery engagements
* Strong written and verbal communication skills, including workshop facilitation, architecture storytelling, and executive-level communication
Wages + Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 151,800 to $ 253,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: [1] https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Architect, Physical & Spatial AI, OT Transformation
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 re-imagining and re-engineering operations and environments that are critical to business performance.
The role is focused on helping clients improve operational efficiency, accelerate digital transformation, modernize OT environments, and unlock new value through digital twin, spatial intelligence, and Physical AI-enabled solutions.
We are seeking a candidate with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate has worked across OT-heavy environments such as data centers, sports venues, and consumer/retail operations, and can translate business and operational needs into scalable architecture, platform, and transformation solutions. Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on either OT transformation design and deep technical solution architecture is ideal.
Recruiting for this role ends on 06/01/2026.
Work You'll Do
As an Architect at Deloitte, you are expected to bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and implementation, manage team progress, and ensure quality of work products. The role also includes mentoring, sales support, and contribution to market eminence.
* Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation
* Translate business and operational priorities into transformation roadmaps and technical strategies
* Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation
* Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation
* Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers
* Define technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge infrastructure, AI/ML services, spatial context, and enterprise applications
* Implement integration of physical/spatial AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-related ecosystems, and enterprise platforms
* Develop differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner
* Help shape Deloitte's market-facing capabilities focused on digital twins, OT transformation, and spatial/physical AI use cases across priority sectors
The Team
Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services. We help clients innovate, enhance, and manage their capabilities so they can grow and scale effectively.
In this role, you will work at the intersection of AI, engineering, operational technology, and industry transformation, helping clients bring together sensing, simulation, decisioning, and enterprise execution in real-world physical environments.
Qualifications
Required
* Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field
* 6+ years of relevant experience in consulting, industry, or a combination of both
* Experience working with clients on digital twin, spatial technologies, OT transformation, industrial/edge AI, or related operational technology initiatives
* Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services
* Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to
* NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments
* GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream, Earth Engine, Gemini/ Agent builder
* Strong product and platform strategy experience defining architecture, integration patterns, and implementation approaches for environments involving OT systems, telemetry, AI services, and enterprise platforms
* Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
* Limited immigration sponsorship may be available.
Preferred
* Consulting experience strongly preferred, particularly in client-facing strategy, architecture, or transformation delivery roles
* Experience in data center, sports venue, consumer, or retail environments
* Experience developing client-ready materials for workshops, solution framing sessions, and stakeholder presentations
* Experience contributing to proposal development, pursuit teams, or opportunity shaping activities
* Familiarity with operational use cases such as asset monitoring, predictive maintenance, facility performance, workforce enablement, computer vision, loss prevention, safety/compliance monitoring, or spatial operations
* Experience with enterprise integration, IT/OT convergence, and real-time operational decision support
* Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related discipline
* Strong presentation skills and comfort communicating with both business and technical audiences
* Experience leading or coordinating multidisciplinary teams in complex solution delivery engagements
* Strong written and verbal communication skills, including workshop facilitation, architecture storytelling, and executive-level communication
Wages + Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be...