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Internship Spatial Intelligence Jobs (NOW HIRING)

JEM Group LLC

Assistant Project Manager

Camp Hill, PA · On-site

Internship, or Co-op experience as an APM or project engineer is a plus. * Site civil and/or MEP ... Basic mathematical, spatial and conceptual thinking ability. * Excellent written and verbal ...

JEM Group

Assistant Project Manager

Camp Hill, PA · On-site

Internship, or Co-op experience as an APM or project engineer is a plus. * Site civil and/or MEP ... Basic mathematical, spatial and conceptual thinking ability. * Excellent written and verbal ...

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How much do internship spatial intelligence jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship spatial intelligence in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Spatial Intelligence vs Spatial Data Analyst?

AspectInternship Spatial IntelligenceSpatial Data Analyst
Required CredentialsCurrently pursuing or recent graduate in GIS, geography, or related fieldBachelor's or master's in GIS, geography, data science, or related field
Work EnvironmentInternship setting, often in tech, urban planning, or environmental firmsFull-time role in data analysis, GIS, or urban planning companies
Employer & Industry UsageUsed by companies seeking entry-level GIS or spatial analysis skillsUsed by organizations analyzing spatial data for decision-making
Common Search & ComparisonInternship Spatial Intelligence vs Spatial Data Analyst

Internship Spatial Intelligence typically involves entry-level, temporary positions focused on learning GIS and spatial analysis skills, often for students or recent graduates. In contrast, a Spatial Data Analyst is a full-time professional role requiring more experience and advanced skills in analyzing and interpreting spatial data for organizational decisions.

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What cities are hiring for Internship Spatial Intelligence jobs? Cities with the most Internship Spatial Intelligence job openings:
What are the most commonly searched types of Spatial Intelligence jobs? The most popular types of Spatial Intelligence jobs are:
What states have the most Internship Spatial Intelligence jobs? States with the most job openings for Internship Spatial Intelligence jobs include:
What job categories do people searching Internship Spatial Intelligence jobs look for? The top searched job categories for Internship Spatial Intelligence jobs are:
Internship Spatial Intelligence jobs near you
Infographic showing various Internship Spatial Intelligence job openings in the United States as of May 2026, with employment types broken down into 22% Internship, 65% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Machine Learning Infrastructure Engineer Intern

Machine Learning Infrastructure Engineer Intern

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Internship

Retirement

Posted 24 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
Responsibilities:
  • Identify Training Bottlenecks: Profile and analyze Bird's Eye View (BEV) model training pipelines to pinpoint computational and memory bottlenecks.
  • Develop Custom Kernels: Design and implement high-performance custom compute kernels using CUDA, Triton, or C++ to accelerate the model training process.
  • Leverage LLMs for Optimization: Explore and integrate Large Language Models (LLMs) to assist in generating high-performance code and optimizing kernel logic.
  • Automate Profiling Workflows: Build systems to automate performance profiling and analysis using tools like NVIDIA Nsight and the PyTorch Profiler.
  • Iterative Performance Tuning: Continuously analyze profiling data generated by both human and LLM-assisted workflows to maximize GPU utilization and reduce training times.

Required Skills:
  • Systems Programming: Strong proficiency in C++ and a solid understanding of memory management, computer architecture, and parallel processing principles.
  • Deep Learning Frameworks: Hands-on experience with PyTorch, specifically understanding custom operations, autograd, and training loops.
  • Performance-Oriented Mindset: Strong problem-solving skills with a deep interest in performance tuning, algorithmic efficiency, and low-level system optimization.

Preferred Skills:
  • GPU Programming Experience: Practical experience writing and optimizing custom GPU kernels using CUDA or OpenAI Triton.
  • Hardware Profiling Tools: Familiarity with hardware and software profiling tools, particularly NVIDIA Nsight (Systems/Compute) and the PyTorch Profiler.
  • LLM for Code Generation: Experience using or prompting LLMs for code writing, refactoring, or exploring AI-assisted software development workflows.
  • Autonomous Vehicle Perception: A foundational understanding of Bird's Eye View (BEV) models, 3D perception, or spatial transformers used in autonomous driving.

$19 - $65 an hour
Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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