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Non Coding Computer Science Jobs in Los Angeles, CA

bareinsights

Senior Manager, Data Science

Los Angeles, CA · On-site

$210K - $230K/yr

Maintain a hands-on technical presence (~20-80 split), actively contributing code and technical ... Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics ...

New

YO AI Labs

Data Scientist

Glendale, CA · On-site

Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders. Preferred Qualifications: * MS in computer science, statistics ...

IQVIA

Cytogeneticist Technologist/Scientist

Valencia, CA · On-site

$58K - $122K/yr

In this role, you will perform routine and non-routine tissue processing, including paraffin ... computer, typing, reading small prints). Physical demands vary depending on assigned work area and ...

IQVIA

Cytogeneticist Technologist/Scientist

Valencia, CA · On-site

$58K - $122K/yr

In this role, you will perform routine and non-routine tissue processing, including paraffin ... computer, typing, reading small prints). Physical demands vary depending on assigned work area and ...

YO AI Labs

Data Scientist

Glendale, CA · On-site

... non-technical stakeholders. Basic Qualifications : * Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field + 7 years of experience with an ...

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All JobsNon Coding Computer Science JobsNon Coding Computer Science Jobs in Los Angeles, CA

Non Coding Computer Science information

See Los Angeles, CA salary details

$10

$31

$60

How much do non coding computer science jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for non coding computer science in Los Angeles, CA is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $21.21 and $40.15 per hour, depending on experience, location, and employer.

What is a non coding computer science job?

Non-coding computer science jobs are roles in the tech industry that do not primarily involve writing code or programming. These positions often focus on areas such as project management, technical support, systems analysis, user experience (UX) design, IT consulting, and data analysis. People in these roles may use their technical knowledge to bridge communication between developers and stakeholders, manage technology projects, or ensure that systems run smoothly. These jobs are ideal for individuals who have a background in computer science but prefer not to spend most of their time coding.

What types of career paths are available in computer science for professionals who prefer non-coding roles?

There are several rewarding career paths in computer science that do not primarily involve coding. These include roles such as IT project manager, systems analyst, technical writer, product manager, and user experience (UX) researcher. Professionals in these positions often focus on project coordination, documentation, user requirements, and communication between technical and non-technical stakeholders. These roles require strong analytical, organizational, and communication skills, and they often work closely with software developers, designers, and business teams to ensure successful project outcomes.

What are the key skills and qualifications needed to thrive in a non coding computer science role, and why are they important?

To thrive in a non-coding computer science role, you need strong analytical thinking, problem-solving abilities, and a solid understanding of computer science fundamentals, often supported by a related degree. Familiarity with technical documentation tools, data analysis platforms, and project management systems is typically required. Excellent communication, collaboration, and organizational skills help you effectively translate technical concepts and work with cross-functional teams. These skills and qualities are crucial for bridging the gap between technical and non-technical stakeholders and ensuring successful project outcomes.

What is the difference between Non Coding Computer Science vs Software Developer?

AspectNon Coding Computer ScienceSoftware Developer
Required CredentialsTypically degrees in Computer Science or related fields; certifications in data analysis or networkingBachelor's degree in Computer Science or Software Engineering; coding certifications often preferred
Work EnvironmentOffice settings, labs, or remote; focus on planning, analysis, and designOffice or remote; involves coding, testing, and debugging software
Industry UsageIT departments, data analysis firms, cybersecurity, network administrationSoftware companies, tech startups, app development firms
Common Search & ComparisonOften compared for roles involving planning and analysis without codingCompared for hands-on coding and software creation roles

Non Coding Computer Science focuses on planning, analysis, and design within tech fields, often without coding. Software Developers actively write and test code to build applications. Both roles require a computer science background but differ in daily tasks and skill sets.

What are popular job titles related to Non Coding Computer Science jobs in Los Angeles, CA?

For Non Coding Computer Science jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Non Coding Computer Science jobs in Los Angeles, CA look for?

The top searched job categories for Non Coding Computer Science jobs in Los Angeles, CA are:

Non Coding Computer Science jobs near you
Infographic showing various Non Coding Computer Science job openings in Los Angeles, CA as of August 2026, with employment types broken down into 36% Full Time, 57% Part Time, and 7% Temporary. Highlights an 100% In-person job distribution, with an average salary of $64,990 per year, or $31.2 per hour.

Senior Software Engineer, CAD Interoperability

Zoo

Los Angeles, CA • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

About The Role

We're looking for a Senior Software Engineer, CAD Interoperability, who can help build the systems that convert native and proprietary CAD formats into Zoo's KCL, our new programming language for 3D design. You'll work at the intersection of CAD data extraction, geometry processing, and code generation, turning models from third-party CAD systems into structured KCL representations. This role is for someone who enjoys digging into complex CAD systems, working with CAD SDKs and APIs, and building robust import pipelines that preserve model structure and design intent as much as possible.

What You'll Do
  • Design, implement, and maintain import pipelines that convert native and proprietary CAD formats into Zoo's KCL.
  • Build systems for extracting feature information from CAD files and applications, including sketches, dimensions, constraints, parameters, feature trees, assemblies, metadata, PMI, and related design intent.
  • Develop extractors using native CAD application APIs and toolkits where interoperability SDKs are insufficient.
  • Translate extracted CAD structure, geometry, parameters, and feature information into KCL that faithfully represents the original model.
  • Build validation, testing, and comparison tools to measure conversion quality across geometry, topology, feature information, assemblies, and generated KCL output.
  • Handle edge cases across proprietary formats, CAD versions, modeling kernels, malformed files, incomplete metadata, and inconsistent vendor API behavior.
  • Collaborate with the file format, modeling, and product teams to improve Zoo's CAD import experience and expand support for real-world customer files.
What You'll Need
  • B.S. in Computer Science, Mechanical Engineering, or a related field, or equivalent experience.
  • Strong professional experience in software engineering, ideally involving CAD, geometry, file formats, code generation, or data extraction systems.
  • Experience working with complex technical data formats, application APIs, SDKs, or translation pipelines.
  • Proficiency in a systems programming language such as Rust or C++, with comfort working across language boundaries and vendor SDKs.
  • Experience building automated tests, validation tools, and debugging workflows for complex technical systems.
  • Ability to work autonomously, investigate unfamiliar systems, and make pragmatic technical decisions in a fast-moving environment.
Nice to Have
  • Strong understanding of CAD model structure, including parts, assemblies, sketches, constraints, dimensions, features, parameters, B-rep geometry, and tessellated representations.
  • Experience with CAD interoperability SDKs such as HOOPS Exchange, CoreTechnologie 3D_Kernel_IO, Open Design Alliance, CAD Exchanger, Datakit, or similar tools.
  • Experience with native CAD APIs such as SOLIDWORKS API, Creo TOOLKIT, NX Open, CATIA CAA/API, Inventor API, or similar.
  • Experience with STEP, IGES, Parasolid, ACIS, JT, glTF, STL, or other CAD and 3D exchange formats.
  • Experience generating structured source code from model data, especially for DSLs or domain-specific modeling languages.
  • Familiarity with KCL or other programmatic CAD workflows.

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