ZipRecruiter

Log In

1

Spatial Computing Jobs in Massachusetts (NOW HIRING)

Saviance

Sr. Engineer- AI/ML

Boston, MA · On-site

$113K - $155K/yr

Responsibilities : • Strong background in Machine Learning applied to complex spatial computing, image and video processing, and visualization applications. • Individual contributor and work on ...

Bayer

$106K - $159K/yr

Computational Biologist - Spatial Multi-Omics Bayer has an opening for a Computational Biologist ... Proficiency in Python and/or R; comfort with Linux/Unix environments, high-performance computing ...

next page

Showing results 1-20

All JobsSpatial Computing JobsSpatial Computing Jobs in Massachusetts

Spatial Computing information

What is spatial computing?

Spatial computing refers to the use of digital technology to interact with and manipulate physical space and objects. It integrates technologies like augmented reality (AR), virtual reality (VR), sensors, and artificial intelligence to create immersive experiences that blend the digital and physical worlds. Spatial computing is used in various fields, such as gaming, architecture, healthcare, and manufacturing, to enhance visualization, collaboration, and data analysis. This technology enables users to interact with digital content as if it were part of their real environment.

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

To excel as a Spatial Computing Specialist, a solid background in computer science, mathematics, and 3D modeling, often supported by a relevant degree or certification, is essential. Familiarity with programming languages (such as C++, Python), spatial mapping tools, AR/VR development platforms (like Unity or Unreal Engine), and sensor integration is typically required. Strong problem-solving skills, creativity, and effective cross-disciplinary communication set top professionals apart in this field. These skills are vital for developing innovative spatial computing solutions that blend digital and physical environments, driving advancements in industries such as gaming, architecture, and healthcare.

What are some common challenges spatial computing professionals face when working on cross-disciplinary teams?

Spatial computing professionals often collaborate with experts in software development, user experience design, hardware engineering, and domain specialists. A common challenge is ensuring effective communication between team members with different technical backgrounds and vocabularies. Additionally, integrating spatial data and real-world context into digital solutions requires careful coordination and iterative testing. Successful professionals are proactive in bridging knowledge gaps and fostering a shared understanding to drive project goals forward.

What is the difference between Spatial Computing vs Augmented Reality Developer?

AspectSpatial ComputingAugmented Reality Developer
Required CredentialsTypically a degree in computer science, engineering, or related fields; knowledge of 3D modeling and programmingSimilar credentials, often with specialization in AR platforms and SDKs
Work EnvironmentDesigning and developing 3D environments, often involving hardware like AR/VR headsets and sensorsCreating AR applications for mobile devices or AR glasses, often in app development environments
Industry UsageUsed across gaming, architecture, healthcare, and training for spatial interactionPrimarily in entertainment, marketing, and mobile app development sectors

While both roles involve immersive technology, Spatial Computing focuses on creating comprehensive 3D environments and interactions, whereas Augmented Reality Developers specialize in overlaying digital content onto real-world views. Understanding these differences helps in choosing the right career path or project focus within immersive tech industries.

Is spatial computing worth it?

Spatial computing is a growing field that involves developing and working with 3D environments, augmented reality, and virtual reality technologies. Careers in this area often require skills in programming, 3D modeling, and understanding of hardware platforms, making it a valuable and expanding industry for tech professionals.

What job categories do people searching Spatial Computing jobs in Massachusetts look for?

The top searched job categories for Spatial Computing jobs in Massachusetts are:

What cities in Massachusetts are hiring for Spatial Computing jobs?

Cities in Massachusetts with the most Spatial Computing job openings:

Spatial Computing jobs near you
Infographic showing various Spatial Computing job openings in Massachusetts as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Sr. Engineer- AI/ML

Boston, MA • On-site

Saviance
IT Services • 201 - 500 employees
Learn more about Savianceexternal

$113K - $155K/yr

Full-time

Re-posted 6 days ago

Key responsibilities

  • Design, develop, and implement machine learning models for radar-based health and safety platforms.

  • Collaborate with the team to envision, architect, and prioritize the platform's artificial intelligence features.

  • Work on the design and development of machine learning models applied to complex spatial computing, image, and video processing.

Job description

Job Summary:
BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. They are seeking a Senior Engineer specializing in AI and Machine Learning to design, develop, and implement machine learning models for radar-based health and safety platforms.
Responsibilities:
• Strong background in Machine Learning applied to complex spatial computing, image and video processing, and visualization applications.
• Individual contributor and work on the design, development, and implementation of machine learning models for radar-based health and safety platforms.
• Collaborative team environment to help envision, architect, and prioritize the platform's artificial intelligence features.
Qualifications:
Required:
• Strong background in Machine Learning applied to complex spatial computing, image and video processing, and visualization applications
• Proven industry experience as an AI/Client Engineer, with a focus on radar and RF signals, video and image processing, or classification
• Proficiency in implementing signal processing algorithms using programming languages such as Python, MATLAB, or C/C++
• Fluency in Python, machine learning frameworks (Pytorch, Tensorflow, etc.), data science tools (NumPy/Scikit-learn), and cloud services (Google Cloud Platform)
• Extensive practical knowledge of Machine Learning techniques for images, deep learning network architectures (CNNs, GANs, etc.), regularization, loss functions, optimization strategies, etc.
• Experience with building and orchestrating multiple models using parallel and sequential architectures, tailoring the approach to the specific requirements and constraints of the problem at hand
• Solid understanding of software development methodologies and version control systems
• Experience with real-time signal processing, DSP platforms, or embedded systems
• Strong knowledge of digital signal processing theory and techniques, including filtering, modulation, demodulation, and spectral analysis
• Experience with one or more of the following: radar-to-image projection, image segmentation, video object detection, target detection in radar signal
• Expertise in radar signal processing and object detection from RF signals, including algorithms such as CFAR, SVD, and other radar signal processing techniques
• Experience implementing and optimizing data augmentation techniques (e.g., image flipping, rotation, scaling, filtering, text synonym replacement, SMOTE) to enhance model performance and robustness
• A Master's or PhD degree in Artificial Intelligence, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, or a related field, or equivalent work experience
• 10+ years of relevant experience in machine learning and data science, with healthcare AI a plus
• Proven track record of leading and scaling high-performing data science and machine learning teams and successfully delivering complex, impactful projects
• Real-world work experience in relevant roles in a commercial setting
• Ideally, full life cycle experience with a consumer or patient product that has shipped and achieved meaningful commercial success
Preferred:
• Experience in a startup or fast-paced environment
• Exposure to ambient sensing and sensor fusion technologies
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

Social media

FacebookTwitter

View All Saviance Jobs

Apply