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Spatial Computing Jobs in Massachusetts (NOW HIRING)

Fidelity Investments

Co-op, Designer

Boston, MA · On-site

$20 - $32/hr

... computing, and emerging technologies to enhance customer experiences and keep Fidelity at the ... Spatial Experience Design, AR/VR Design etc) * Presentation and Layout skills: ability to ...

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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 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Computational Mechanics Scientist (Structural Solver)

Flexcompute Inc.

Watertown, MA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago

Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory
We prioritize fundamental understanding over tool proficiency. We are looking for an architect who can derive the governing equations from first principles and implement them into a robust numerical framework.
About Flexcompute
We are a "Physics Intelligence" company making hardware innovation as easy as software. Our solvers (Flow360, Tidy3D) are not just faster; they are effectively instant, reducing simulation times from days to minutes using massive GPU parallelism and proprietary algorithms.
  • Intellectual Density: We maintain an exceptionally high talent bar. Our team of ~90 includes over 50 PhDs from MIT, Stanford, and top research labs. You will work alongside peers who will challenge your thinking and elevate your work daily.
  • Impact: Our technology is currently used to design optical interconnects, 3D chiplets, quantum computing chips, eVTOL aircraft, and next-gen wind turbines. You are building the "math engine" that drives real-world engineering breakthroughs.
  • Stability & Growth: We are a Series C stage company with significant funding, revenue-generating products, and a clear path to disrupting the $20B+ simulation market.

Requirements
  • Education: Ph.D. in Applied Mechanics, Physics, Applied Mathematics, or a related field.
  • Deep Physics Intuition: You possess an intuitive grasp of continuum mechanics-elasticity, plasticity, contact mechanics, and wave propagation. You can predict how a structure should behave before the simulation runs.
  • Advanced Numerical Analysis: You have a theoretical mastery of numerical PDEs. You can mathematically prove the consistency, stability, and convergence of a scheme. You understand the trade-offs between implicit/explicit integration and various spatial discretizations.
  • Strong General Programming: Proficiency in at least one high-level language (C++, Python, Julia, Rust, or Fortran) with a focus on algorithmic efficiency. You understand data structures, computational complexity (Big O), and how to write maintainable research code.
  • First-Principles Thinking: Demonstrated ability to solve novel problems where no textbook solution exists.

Preferred (But Not Required)
  • Interest in learning High-Performance Computing (HPC) and GPU architecture.
  • Experience with C++ for scientific computing.
  • Exposure to multi-physics coupling (fluid-structure interaction, thermal-stress).

Key Responsibilities
  • Solver Formulation: Derive and implement governing equations for structural mechanics, ensuring thermodynamic consistency and physical accuracy across linear and non-linear regimes.
  • Numerical Architecture: Design the core numerical framework. You will determine the optimal discretization strategies (FEM, DG, IGA, etc.) to balance stability, accuracy, and computational cost.
  • Algorithmic Development: Specific language is secondary to code quality. You will write clean, modular, and efficient algorithms to solve large-scale systems of equations.
  • Physics-Driven Validation: Diagnose solver behavior not just as code execution, but as physical modeling. You must distinguish between numerical instability and physical phenomena.

Benefits
  • Collaborative Autonomy: We operate with high trust. You own your module, but you have immediate access to world-class experts in electromagnetics and fluid dynamics for cross-domain problems.
  • Continuous Learning: We host regular internal seminars where team members teach each other-from "Advanced Linear Algebra" to "GPU Memory Hierarchies."
  • Compensation: Competitive salary + meaningful equity in a fast-growing startup.
  • Well-being: Comprehensive Medical, Dental, and Vision insurance; 401(k); and a gym/fitness allowance.
  • Environment: A flat hierarchy where the "best idea wins," regardless of job title.

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