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Spatial Ai Jobs (NOW HIRING)

AI Research Engineer

San Francisco, CA · On-site

$241K/yr

Connecting physical AI, spatial AI, and affective computing for frictionless Human-AI experiences You Are Accenture Labs seeks a well-rounded candidate who is an intellectually curious AI research ...

Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors) * Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)

AI Research Engineer

San Francisco, CA · On-site

$241K/yr

Connecting physical AI, spatial AI, and affective computing for frictionless Human-AI experiences You Are Accenture Labs seeks a well-rounded candidate who is an intellectually curious AI research ...

Security Engineer

San Francisco, CA · On-site

$170 - $210/hr

At Schemata, we build spatial AI-powered products for blue collar and mission critical work. We combine state-of-the-art applied research in LLMs and spatial reasoning to power AI-enabled workflows ...

WI · On-site

What We Do We're a no-nonsense AI lab building production-grade visual and spatial AI - specialising in 3D AI, computer vision, video processing, and deep learning on spatial data. Our technology is ...

Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors) * Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)

You will be the face of spatial AI for industries transitioning from analog to hyper-advanced tech. WHAT WE ARE LOOKING FOR * An Elite Track Record: 5+ years of verified, quota-exceeding sales ...

Founding Account Executive

Seattle, WA · On-site

$150K - $250K/yr

You will be the face of spatial AI for industries transitioning from analog to hyper-advanced tech. WHAT WE ARE LOOKING FOR * An Elite Track Record: 5+ years of verified, quota-exceeding sales ...

Showing results 21-40

Spatial Ai information

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$100.5K

$123.1K

$153K

How much do spatial ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for spatial ai in the United States is $123,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What is Spatial AI?

Spatial AI refers to artificial intelligence systems designed to perceive, understand, and interact with the physical world in real time by processing spatial data. It combines elements of computer vision, 3D mapping, and sensor fusion to enable machines to interpret and respond to their environment, commonly used in robotics, augmented reality, and autonomous vehicles. Spatial AI technologies help machines understand objects, spaces, and movement, allowing for more advanced navigation and interaction within complex environments.

How does a spatial AI specialist typically collaborate with cross-functional teams on large-scale projects?

Spatial AI specialists often work closely with data scientists, software engineers, and domain experts to develop and deploy intelligent spatial solutions. Their role involves integrating geospatial data with machine learning models, requiring frequent communication to align on project objectives, data requirements, and deployment strategies. Collaboration is key, especially when interpreting spatial data outputs for non-technical stakeholders and adapting models based on feedback from end users. Strong teamwork skills help ensure that spatial insights are actionable and support broader organizational goals.

What are the key skills and qualifications needed to thrive as a spatial AI engineer, and why are they important?

To excel as a Spatial AI Engineer, you need a solid background in computer vision, machine learning, and spatial data analysis, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as Python, TensorFlow, OpenCV, GIS software, and experience with 3D data processing are commonly required, along with relevant certifications in AI or spatial technologies. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that help bridge technical solutions and real-world applications. These skills enable the development of innovative AI-driven spatial solutions that are accurate, efficient, and effectively meet organizational or client needs.

What is the difference between Spatial Ai vs GIS Analyst?

AspectSpatial AiGIS Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and spatial data processingRequires degree in geography, GIS, or related field; certifications like GISP are common
Work EnvironmentTech-focused, often in software development or data science teamsGovernment agencies, environmental firms, urban planning departments
Industry UsageEmerging in industries leveraging AI for spatial data analysisEstablished in mapping, urban planning, environmental management
Search & Comparison IntentUnderstanding AI-driven spatial analysis rolesTraditional GIS data analysis and mapping roles

Spatial Ai focuses on applying artificial intelligence to spatial data, often involving machine learning and advanced algorithms. GIS Analysts primarily work with geographic information systems to analyze and visualize spatial data. While both roles handle spatial data, Spatial Ai emphasizes AI integration, whereas GIS Analysts focus on traditional GIS tools and methods.

What jobs are available for spatial Ai?

Jobs related to spatial AI include roles such as geospatial data analyst, GIS developer, remote sensing specialist, and spatial data scientist. These positions often require skills in geographic information systems, programming, and data analysis, and may involve working with tools like ArcGIS, QGIS, or Python. Opportunities are available in industries like urban planning, environmental management, transportation, and technology companies focused on location-based services.
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What states have the most Spatial Ai jobs?

States with the most job openings for Spatial Ai jobs include:

What job categories do people searching Spatial Ai jobs look for?

The top searched job categories for Spatial Ai jobs are:

Infographic showing various Spatial Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $123,139 per year, or $59.2 per hour.

Member of Technical Staff, Microsoft Robotics (Navigation)

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 21 days ago


Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 245 rated software companies


Job description

Overview
Microsoft's Discovery and Quantum (MDQ) division develops and delivers advanced artificial intelligence (AI), cloud-enabled capabilities, and strategic technologies to help solve the world's major challenges. From accelerating scientific discovery with advanced AI tools, to pioneering breakthroughs in quantum computing, to advancing robotics and AI capabilities that drive real-world impact, joining MDQ means building the future, partnering with fast-moving innovators, and operating in a high-impact, mission-driven environment.
At Microsoft Robotics within MDQ, we build and deploy technologies that enable people, robots, and AI agents to collaborate and achieve more.
We are building Microsoft's platform for physical intelligence-an integrated robotics software and AI platform that brings together humans, robots, and agents through robotics AI models, innovative teaming solutions and experiences, physically grounded agentic AI workflows, trustworthy test and evaluation, and real-world customer-focused validation. Built on Microsoft's core platforms and delivered through and with a global ecosystem of partners and customers, this platform accelerates AI for the physical world and helps robotics solutions move from experimentation to reliable, scaled deployment.
We are hiring a Member of Technical Staff, Microsoft Robotics (Navigation) at the software engineer II level, to design, develop, and deploy navigation and planning systems that enable robots to move safely, efficiently, and reliably through real-world environments. This engineer will work across the autonomy stack, including localization, mapping, path planning, motion planning, behavioral decision-making, and controls integration, translating high-level mission intent into dynamically feasible robot motion. The role sits at the intersection of classical robotics, modern AI systems, simulation, and field deployment, with responsibility for building navigation capabilities that operate across diverse robot embodiments, sensor configurations, and operating conditions. The engineer will help advance Microsoft's robotics platform by developing robust planning and navigation software that enables robots, AI agents, and human operators to coordinate effectively in physical environments.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
#MicrosoftRobotics #MDQ
Responsibilities
  • Develop algorithms that translate mission objectives, task assignments, spatial constraints, and robot state into safe, dynamically feasible trajectories for mobile robots, manipulators, or multi-robot systems.
  • Integrate navigation and planning modules with localization, mapping, perception, control, simulation, and fleet operations systems to support end-to-end autonomy workflows.
  • Build and improve real-time planning systems that operate under practical constraints such as limited compute, noisy sensors, dynamic obstacles, intermittent connectivity, and changing environmental conditions.
  • Develop costmaps, traversability models, spatial constraints, route-planning logic, and safety-aware decision policies that enable robots to operate in human-populated and operationally complex environments.
  • Use simulation, log replay, field testing, and automated regression suites to evaluate navigation performance, identify failure modes, and improve robustness across diverse scenarios.
  • Collaborate with perception, spatial AI, simulation, platform, and field test teams to validate navigation behavior across real and simulated environments, ensuring consistent performance from lab development through deployment.
  • Analyze robot telemetry, navigation logs, planner traces, and field test results to debug autonomy issues, tune planning parameters, and drive measurable improvements in success rate, safety, latency, and mission efficiency.
  • Write production-quality software in Python, C++, or equivalent languages, following engineering best practices for testing, maintainability, observability, and operational readiness.
  • Stay current with advances in robotics navigation, motion planning, model-predictive control, multi-agent planning, foundation models for robotics, and embodied AI, evaluating new techniques for adoption into Microsoft's robotics platform.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Other Requirements:
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings
    • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
  • Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience developing navigation, motion planning, path planning, behavior planning, or control algorithms for autonomous mobile robots, manipulators, drones, autonomous vehicles, or other embodied robotic systems.
  • Familiarity with robotics middleware and autonomy frameworks such as ROS/ROS2, Nav2, MoveIt, Drake, Autoware, or equivalent robotics software stacks.
  • Experience with planning approaches such as A*, D*, RRT/RRT*, lattice planning, trajectory optimization, model-predictive control, or learning-informed planning.
  • Experience integrating navigation systems with localization, mapping, perception, simulation, and robot control interfaces in real or simulated robotic platforms.
  • Proficiency in C++ and Python with experience writing performant, maintainable software for real-time or near-real-time robotics systems.
  • Experience debugging autonomy behavior using robot logs, telemetry, visualization tools, simulation replay, and field test data.
  • Familiarity with navigation challenges in dynamic, human-populated, degraded, unstructured, or partially observable environments.
  • Experience with simulation-based validation, scenario generation, autonomy benchmarking, or regression testing for robotics navigation systems.
  • Familiarity with learning-based navigation, imitation learning for navigation policies, or foundation models applied to planning and decision-making.
  • Understanding of safety-aware autonomy design, including collision avoidance, operational design domains, failure recovery, fallback behaviors, and human-in-the-loop intervention workflows.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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