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Spatial Reasoning Jobs in California (NOW HIRING)

Embedding VC

AI Research Scientist

Milpitas, CA · On-site

$140 - $210/hr

Develop foundation models with spatial reasoning capabilities to achieve high-precision robotic actions. * Integrate multi-modal data sources (vision, language, speech, etc.) to enable natural human ...

Pano

Senior Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

Spatial reasoning, including estimating distances and relationships between detected objects and nearby assets * Build lightweight detection, segmentation, classification, and temporal reasoning ...

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

Scene understanding and spatial reasoning * Help implement and maintain machine learning and computer vision pipelines. * Assist with deploying and optimizing AI models on NVIDIA Jetson and other ...

Amazon

Sr. Applied Scientist, Fauna

Sunnyvale, CA

$107K - $146K/yr

... spatial reasoning, and related fields, and apply relevant findings to improve system performance - Mentor fellow scientists and engineers while maintaining strong individual technical contributions ...

Amazon

Sr. Applied Scientist, Fauna

Sunnyvale, CA

$107K - $146K/yr

... spatial reasoning, and related fields, and apply relevant findings to improve system performance - Mentor fellow scientists and engineers while maintaining strong individual technical contributions ...

Embedding VC

AI Research Scientist

Milpitas, CA · On-site

... models with spatial reasoning capabilities to achieve high-precision robotic actions. • Integrate multi-modal data sources (vision, language, speech, etc.) to enable natural human-robot ...

Schemata

Mobile Engineer

San Francisco, CA · On-site

$120 - $150/hr

Our platform delivers photorealistic, intelligent 3D experiences, demanding robust spatial reasoning, high‑performance data pipelines and seamless integration between traditional graphics and ...

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Spatial Reasoning information

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How much do spatial reasoning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for spatial reasoning in California is $42.76, according to ZipRecruiter salary data. Most workers in this role earn between $28.72 and $50.84 per hour, depending on experience, location, and employer.

What is a spatial reasoning job?

A Spatial Reasoning job involves analyzing and interpreting spatial relationships between objects, environments, or data. These roles are common in fields like engineering, architecture, data visualization, and geospatial analysis. Professionals use spatial thinking to solve complex problems, design structures, or develop mapping solutions. Strong skills in visualization, pattern recognition, and problem-solving are essential.

What types of projects or tasks do spatial reasoning professionals typically work on?

Spatial reasoning professionals often engage in projects like urban planning, transportation logistics, mapping, land use analysis, and site selection. Their typical tasks may include analyzing spatial data sets, creating digital or physical maps, utilizing GIS tools to interpret trends, and collaborating with engineers, planners, or surveyors to provide actionable recommendations. The work environment can vary from office-based settings to fieldwork, depending on the industry and project phase. Professionals in this field frequently contribute to teams handling large-scale projects where spatial accuracy and careful data interpretation are crucial. As their expertise grows, many advance to leadership roles in project management, consulting, or specialized analysis.

What are the key skills and qualifications needed to thrive in the spatial reasoning position, and why are they important?

To excel in spatial reasoning-related roles, such as spatial analyst or spatial data scientist, candidates need strong analytical skills, proficiency in mathematics or geometry, and a relevant degree in geography, engineering, architecture, or a related field. Experience with GIS software, CAD tools, remote sensing systems, or spatial modeling platforms is highly beneficial, along with certifications in geographic information systems or spatial analysis. Outstanding problem-solving, visualization, and communication skills help professionals understand complex spatial data and present insights effectively. These abilities are vital for making accurate decisions and delivering solutions in areas like urban planning, navigation, or environmental analysis.

What are the most commonly searched types of Spatial Reasoning jobs in California?

The most popular types of Spatial Reasoning jobs in California are:

What are popular job titles related to Spatial Reasoning jobs in California?

For Spatial Reasoning jobs in California, the most frequently searched job titles are:

What job categories do people searching Spatial Reasoning jobs in California look for?

The top searched job categories for Spatial Reasoning jobs in California are:

What cities in California are hiring for Spatial Reasoning jobs?

Cities in California with the most Spatial Reasoning job openings:

Spatial Reasoning jobs near you
Infographic showing various Spatial Reasoning job openings in California as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $88,941 per year, or $42.8 per hour.

AI Research Scientist

Embedding VC

Milpitas, CA • On-site

$140 - $210/hr

Other

Medical, Dental, Vision, Retirement

Posted 24 days ago

Job description

Why RoboForce

RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.

Responsibilities
  • Design and deploy vision-language(-action) models (VLM/VLA) for contextual understanding and generalized robot action policies.
  • Develop and train world models for action-conditioned prediction, long-horizon planning, and environment simulation - enabling robots to reason about the consequences of their actions before execution.
  • Research approaches to improve world model fidelity using multi-modal inputs including vision, language, proprioception, and spatial representations.
  • Develop foundation models with spatial reasoning capabilities to achieve high-precision robotic actions.
  • Integrate multi-modal data sources (vision, language, speech, etc.) to enable natural human-robot communication.
  • Optimize and deploy models as production-grade solutions on RoboForce robotic platforms.
  • Requires 5 days/week in-office collaboration with the teams.
Requirements
  • PhD degree in Machine Learning, Robotics, or related field, or Master's degree with 4+ years of relevant experience.
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, JAX).
  • Expertise in large foundation models (VLM, VLA, etc.).
  • Strong understanding of world model architectures and action-conditioned generative modeling for robot learning.
  • Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).
Bonus Qualifications
  • Experience with video generation or prediction models (e.g., diffusion-based video models, autoregressive video transformers) and their application to world modeling or synthetic data generation for robot learning.
  • Strong publication record at top conferences (NeurIPS, ICML, CVPR, ICCV, CoRL, ICRA, or equivalent).
  • Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA.
  • Proven ability to design scalable experimentation and data pipelines.
Benefits
  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.
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