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Remote Ai Computer Science Jobs (NOW HIRING)

AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

... Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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How much do remote ai computer science jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote ai computer science in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a remote AI computer science job?

A remote AI computer science job involves working from a location outside a traditional office—often from home—on tasks related to artificial intelligence and computer science. Professionals in this role typically develop, test, and deploy AI models, analyze large datasets, and write code to solve complex problems. They may collaborate with teams using online tools and are expected to stay updated on the latest AI technologies and programming languages. This job can be found in industries ranging from tech startups to large corporations, and offers flexibility in work schedule and location.

What are the key skills and qualifications needed to thrive as a Remote AI Computer Scientist, and why are they important?

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, programming (Python, Java, or C++), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are common technical requirements. Excellent problem-solving skills, self-motivation, and effective remote communication are soft skills that set top performers apart. These abilities are critical for developing innovative AI solutions, collaborating with distributed teams, and adapting to rapidly changing technology landscapes.

What are the typical collaboration methods for remote AI Computer Science professionals working on team projects?

Remote AI Computer Science professionals often collaborate using a combination of cloud-based code repositories, video conferencing, and project management tools. Teams typically hold regular virtual stand-ups, code review sessions, and brainstorming meetings to ensure alignment and knowledge sharing. Effective communication and documentation are crucial, as team members may be in different time zones. Additionally, pair programming and collaborative debugging sessions are common practices to maintain code quality and foster team cohesion.
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AI CAD Engineer

AI CAD Engineer

Atomic Machines

Emeryville, CA • On-site, Remote

$210K - $260K/yr

Full-time

Posted 12 days ago


Job description

Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fully programmable in the way 3D printing is digital—but whereas 3D printing produces parts of a single material using a single process, the Matter Compiler™ technology platform is a multi-process, multi-material system: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device—made possible only through the Matter Compiler™ technology platform—that we will be unveiling to the world soon.
Our offices are in Emeryville and Santa Clara, California.
About The Role:

As a CAD Automation Engineer, you will have the opportunity to lead, innovate, and shape our CAD/automation workflows by developing generative and programmatic CAD pipelines that transform design specifications into manufacturable micro-device assemblies. You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems that automatically explore, assemble, and optimize designs from a library of components. You will join a tight cross-functional team dedicated to pushing the limits of micro-manufacturing and computational design.

This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home arrangement when needed.

When referencing the compensation band below, please note that it may vary based on a candidate's experience and level. This role is not tied to a single level and may span earlier-in-career through senior-level candidates (L4–L6). Final leveling will be determined during the interview process. We are open to strong earlier-career candidates who are excited to grow into broader technical leadership or architectural responsibility over time.

What You'll Do:
  • Build CAD workflows that programmatically construct, modify, and evaluate 3D assemblies. This includes:
    • Manipulating and parametrizing CAD models to support iterative design and optimization.
    • Integrating with CAD APIs to move beyond GUI-based workflows, enabling high-throughput automated modeling and simulation.
    • Developing geometric intelligence — algorithms that infer how parts mate, fit, and interact to form functional assemblies.
  • Create and maintain a library of parametric components for generative design exploration.
  • Develop GenAI-driven workflows for CAD generation and automated design exploration.
What You'll Need:

Required

  • Deep expertise in CAD manipulation and parametrization, including scripting and automation (e.g., with Onshape API, SolidWorks API, Fusion API, or similar).
  • Strong background in programmatic CAD workflows.
  • Knowledge of AI-based CAD generation or generative design algorithms.
  • Deep understanding of CAD interoperability standards (STEP, IGES, JT, or similar).
  • Proficiency in interacting with CAD software via APIs (Python, C++, or other relevant languages).
  • Experience in parsing large sets of CAD models with product and manufacturing information to create batchable datasets for training.
  • Bachelor's or Master's or PhD degree in Mechanical Engineering, Aerospace Engineering, Computational Design, Computer Science, or a related field.
  • For Staff level, 10+ years of industrial experience (post Bachelor's), or 8+ years of industrial experience (post Master's) or 5+ years of industrial experience (post PhD), with the option of relaxing these requirements for a Senior level position.

Nice to have

  • Experience with geometric modeling kernels (e.g., OpenCascade, Parasolid).
  • Experience in mastering NURBS and B-Rep.
  • Experience with meshing, especially for simulation or manufacturing purposes.
  • Experience with Model-Based Definitions.

Bonus Points For

  • Experience with implicit geometric representations.
  • Experience with simulation-in-the-loop design, shape optimization, or topology optimization workflows.

The compensation for this position also includes equity and benefits.

Salary Range
$210,000—$260,000 USD