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Nvidia Geospatial Jobs (NOW HIRING)

Physical and Spatial AI Engineer III

Tempe, AZ · On-site

$55 - $74/hr

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 ...

Physical and Spatial AI Engineer III

Rosslyn, VA · On-site

$65.50 - $88/hr

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 ...

Physical and Spatial AI Engineer III

Cleveland, OH · On-site

$55.75 - $75/hr

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 ...

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 ...

Physical and Spatial AI Engineer III

Houston, TX · On-site

$55 - $73.75/hr

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 ...

Physical and Spatial AI Engineer III

Saint Louis, MO · On-site

$56 - $75/hr

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 ...

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Showing results 1-20

Nvidia Geospatial information

See salary details

$62.5K

$77.4K

$92.5K

How much do nvidia geospatial jobs pay per year?

As of Jun 7, 2026, the average yearly pay for nvidia geospatial in the United States is $77,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $82,000.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in Nvidia Geospatial roles, and how can they be addressed?

Professionals in Nvidia Geospatial roles often encounter challenges related to processing and visualizing large volumes of spatial data efficiently. These roles require staying current with rapidly evolving GPU technologies and geospatial software tools. Effective collaboration with cross-functional teams, such as data scientists and software engineers, is essential to integrate geospatial analytics into broader solutions. Addressing these challenges involves continuous learning, leveraging Nvidia's training resources, and participating in internal knowledge-sharing initiatives to stay ahead in this dynamic field.

What are Nvidia Geospatial jobs?

Nvidia Geospatial jobs involve working with advanced technologies that process and analyze geographic data using AI, deep learning, and high-performance computing. Professionals in these roles develop solutions for mapping, satellite imagery analysis, autonomous navigation, and related geospatial applications. They often collaborate with industries such as transportation, agriculture, defense, and urban planning to build tools that leverage Nvidia’s GPU and AI platforms for geospatial intelligence. These positions typically require expertise in geospatial data, programming, and machine learning.

What are the key skills and qualifications needed to thrive as a Geospatial Specialist at Nvidia, and why are they important?

To thrive as a Geospatial Specialist at Nvidia, you need a solid background in geospatial science, data analysis, and computer science, often supported by a relevant degree in GIS, computer engineering, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), programming languages like Python or C++, and Nvidia's geospatial AI tools is typically expected. Strong problem-solving, communication, and teamwork skills help you interpret complex spatial data and collaborate across multidisciplinary teams. These abilities are crucial for leveraging geospatial technologies to create innovative solutions and support Nvidia's advanced mapping and AI projects.
Infographic showing various Nvidia Geospatial job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $77,355 per year, or $37.2 per hour.
Physical and Spatial AI Engineer III

Physical and Spatial AI Engineer III

Deloitte

Tempe, AZ • On-site

$55 - $74/hr

Other

Posted 17 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Physical & Spatial AI, Cloud Integrated Infrastructure Engineer III
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 brings a blend of consulting leadership, industry credibility, technical fluency, and go-to-market vision, with experience aligned to Nvidia and/or Google platform ecosystems for Physical and Spatial AI technologies. This role will be supporting clients in environments such as data centers, sports venues and consumer and retail operations.

Recruiting for this role ends on 06/01/2026.


Work You'll Do
The ideal candidate will 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 pursuits, 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
* 3+ 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
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 $ 116,200 to $ 229,100. 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.

Qualifications:

Physical & Spatial AI, Cloud Integrated Infrastructure Engineer III
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 brings a blend of consulting leadership, industry credibility, technical fluency, and go-to-market vision, with experience aligned to Nvidia and/or Google platform ecosystems for Physical and Spatial AI technologies. This role will be supporting clients in environments such as data centers, sports venues and consumer and retail operations.

Recruiting for this role ends on 06/01/2026.


Work You'll Do
The ideal candidate will 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 pursuits, 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
* 3+ 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
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 $ 116,200 to $ 229,100. 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.

Education:Bachelor's DegreeEmployment Type:

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