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Spatial Design Jobs in California (NOW HIRING)

Mission Microwave

RF Engineer Spatial

Cypress, CA · On-site

$160K - $170K/yr

Design innovative quasi-optical and spatial power-combining architectures. * Perform electromagnetic, RF, and microwave simulations using industry tools (ADS, AWR, HFSS, CST) and translate results ...

HSH Interiors

Senior Designer

Truckee, CA · On-site

$120K - $150K/yr

... of spatial design, color theory, furniture, fixtures, and finishes. - Certification from a recognized body (e.g., NCIDQ) is preferred but not required Why Join Us? At HSH Interiors we value ...

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How much do spatial design jobs pay per year?

As of Jun 25, 2026, the average yearly pay for spatial design in California is $132,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $155,400.00 per year, depending on experience, location, and employer.

What does a spatial designer do?

A spatial designer plans and creates physical environments, such as interior spaces, public areas, or exhibitions, focusing on functionality, aesthetics, and user experience. They use tools like CAD software and collaborate with clients and architects to develop design concepts that optimize space utilization and visual appeal.

What are the typical projects and daily tasks of a Spatial Designer?

Spatial Designers usually work on a variety of projects such as interior layouts, retail environments, public spaces, exhibitions, and commercial developments. Their daily tasks often include conceptualizing spatial plans, creating 2D and 3D models, preparing presentations, collaborating with architects and engineers, and meeting with clients to understand project needs. They also conduct site visits, source materials, and stay updated on trends and regulations affecting space usage. This role provides a dynamic work environment where creativity, technical expertise, and teamwork are highly valued, offering opportunities for professional growth as you take on larger and more complex projects.

What industries employ spatial designers?

Spatial designers are employed across various industries including retail, hospitality, healthcare, corporate, and public spaces. They focus on creating functional and aesthetic environments using skills in interior design, architecture, and 3D modeling tools. These roles often require collaboration with clients and understanding of user experience and spatial planning.

What is the future of spatial design?

The future of spatial design involves increased use of digital tools like Building Information Modeling (BIM) and virtual reality to create innovative, sustainable, and user-centered environments. As technology advances, spatial designers will focus more on integrating smart systems and adaptive spaces to meet evolving urban and architectural needs.

What is a Spatial Design job?

A Spatial Design job involves designing and organizing spaces to enhance functionality, aesthetics, and user experience. It blends architecture, interior design, and urban planning to create engaging environments for residential, commercial, and public spaces. Spatial designers consider layout, materials, lighting, and interaction to optimize a space’s purpose and usability. This field covers various industries, including retail, exhibition design, events, and urban development.

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

To thrive as a Spatial Designer, you need a strong understanding of spatial planning, architectural concepts, and 3D visualization, typically supported by a degree in spatial design, architecture, or a related field. Proficiency with tools like AutoCAD, SketchUp, Adobe Creative Suite, and 3D rendering software, as well as familiarity with industry regulations and sustainable design principles, is important. Strong communication, problem-solving abilities, and collaborative skills help you work effectively with clients and multidisciplinary teams. These skills ensure that spatial designs are innovative, functional, and aligned with project requirements, leading to successful built environments.

What are the typical projects for spatial designers?

Spatial designers work on projects such as interior layouts, public space planning, retail environments, exhibition design, and urban development. They use skills in 3D modeling, space analysis, and visualization tools to create functional and aesthetic environments that meet client needs and safety standards.
What are the most commonly searched types of Spatial Design jobs in California? The most popular types of Spatial Design jobs in California are:
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What job categories do people searching Spatial Design jobs in California look for? The top searched job categories for Spatial Design jobs in California are:
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Spatial Design jobs near you
Computational Scientist 3, Spatial Omics & Computational Pathology

Computational Scientist 3, Spatial Omics & Computational Pathology

Genentech

South San Francisco, CA • On-site

Full-time

Posted 28 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 72 rated pharmaceutical

Job description

Job Summary:
Genentech is at the forefront of advancing spatial omics capabilities within their Research Pathology Department. They are seeking a highly skilled Computational Scientist to lead projects at the intersection of computer vision, advanced machine learning, and computational pathology, focusing on developing models and AI pipelines for spatial omics initiatives.
Responsibilities:
• Serve as the Technical Lead for computer vision, AI/ML, and multiplex imaging projects, architecting pipelines for standard whole-slide images (H&E, IHC) and high-dimensional spatial omics data.
• Design and implement cutting-edge machine learning algorithms, including foundation models and generative architectures, for image segmentation, feature extraction, and predictive modeling.
• Develop advanced multi-modal representation learning frameworks to harmonize disparate modalities—fusing morphological features with molecular data (transcriptomics/proteomics) to uncover spatial niches and cell-cell interactions.
• Engineer scalable imaging data infrastructure for large-scale image storage (e.g., OME-ZARR, OME-TIFF, SpatialData) on HPC and cloud environments.
• Embed biological priors—such as known metabolic pathways or spatial knowledge graphs—directly into the mathematical design of the AI models.
• Collaborate closely with pathologists, wet-lab, and dry-lab researchers to interpret data, visualize results, and contribute to upstream experimental design.
Qualifications:
Required:
• Ph.D in Computational Biology, Computer Science, Machine Learning, Imaging Science, Data Science, or a related highly quantitative field or a Masters Degree in these fields with 3+ years of experience may be considered.
• Demonstrated experience in computer vision, deep learning, or image processing, specifically with tissue-based or high-dimensional imaging data.
• Strong foundation in digital/computational pathology workflows and/or advanced machine learning (e.g., probabilistic modeling, representation learning, generative modeling).
• Deep proficiency in Python software engineering and extensive hands-on experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow, JAX).
• Excellent problem-solving skills with the ability to work independently as a technical lead in a multidisciplinary environment.
Preferred:
• Demonstrated experience applying machine learning to single-cell spatial transcriptomics and/or spatial proteomics analysis (e.g., 10X Genomics Xenium, Visium, Lunaphore COMET).
• Hands-on experience with multi-modal data integration, specifically combining spatial transcriptomics, proteomics, and histology datasets.
• Familiarity with the scverse ecosystem (e.g., Scanpy, Squidpy, SpatialData, scVI), computer vision libraries (OpenCV, scikit-image), and modern cloud infrastructure.
• Solid understanding of tissue histology, cell biology, and tumor microenvironments to inform model architecture.
• Experience developing agentic AI systems, LLM-driven autonomous workflows, or advanced AI-oriented tools for complex biological datasets.
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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