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Virtual Scientific Computing Jobs in California (NOW HIRING)

Roblox

Senior Software Engineer - Fraud

San Mateo, CA

$139K - $183K/yr

Roblox's virtual marketplace handles over 4 million transactions a day, and enables our top ... Analytical work may include but is not limited to Data Analysis, Scientific Computing, Statistical ...

Lam Research Corporation

Process Engineer 3

Fremont, CA · On-site

$104K - $192K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

Lam Research Corporation

Process Engineer 4

Fremont, CA · On-site

$104K - $231K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

Lam Research Corporation

Process Engineer 4

Fremont, CA · On-site

$104K - $231K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

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All JobsVirtual Scientific Computing JobsVirtual Scientific Computing Jobs in California

Virtual Scientific Computing information

What is virtual scientific computing?

Virtual scientific computing refers to the use of cloud-based or remote computational resources to perform scientific research and analysis. Instead of relying solely on local hardware, scientists access high-performance computing environments, data storage, and specialized software through the internet. This approach enables greater flexibility, scalability, and collaboration, allowing researchers to run complex simulations, analyze large datasets, and share results with colleagues worldwide. Virtual scientific computing is widely used in fields such as physics, chemistry, biology, and engineering.

What are some typical challenges faced by professionals in Virtual Scientific Computing roles, and how can they be addressed?

Professionals in Virtual Scientific Computing often encounter challenges such as managing large-scale simulations, ensuring computational accuracy, and optimizing performance across diverse hardware architectures. Collaborating effectively with multidisciplinary teams—such as scientists, engineers, and IT specialists—can also be complex due to varying technical backgrounds. Addressing these challenges usually involves continuous learning, leveraging robust collaboration tools, and staying updated on the latest computational methods and best practices to ensure efficient and accurate results.

Is virtual mean online?

In the context of Virtual Scientific Computing jobs, 'virtual' typically refers to remote work conducted online rather than in a physical office. These roles often require proficiency with cloud-based platforms, remote collaboration tools, and sometimes specific certifications. The work environment is digital, allowing for flexible scheduling and location independence.

What are the key skills and qualifications needed to thrive in Virtual Scientific Computing, and why are they important?

To thrive in Virtual Scientific Computing, you need a solid background in mathematics, programming (often Python, C++, or MATLAB), and computational science, typically supported by a relevant degree. Familiarity with high-performance computing (HPC) environments, cloud computing platforms, and simulation software is commonly required. Strong analytical thinking, problem-solving ability, and effective collaboration are vital soft skills for excelling in multidisciplinary teams. These competencies are crucial for efficiently solving complex scientific problems and advancing research using computational methods.

What is the meaning of virtual?

In the context of Virtual Scientific Computing, 'virtual' refers to the use of virtual environments or cloud-based platforms that simulate physical hardware, allowing scientists to run complex computations remotely. This approach enables flexible, scalable, and efficient access to computing resources without the need for dedicated physical infrastructure.

What is being virtual?

In the context of Virtual Scientific Computing jobs, being virtual means performing work remotely, often from a home office, using digital tools and cloud-based platforms. This allows scientists and researchers to collaborate and run computations without being physically present in a laboratory or office environment.

Does virtual mean in person or online?

In the context of Virtual Scientific Computing jobs, virtual typically refers to work conducted online or remotely rather than in person. These roles often involve using cloud-based tools, remote access to computing resources, and collaboration through digital platforms, allowing employees to work from anywhere with internet access.
What are the most commonly searched types of Scientific Computing jobs in California? The most popular types of Scientific Computing jobs in California are:
What are popular job titles related to Virtual Scientific Computing jobs in California? For Virtual Scientific Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Virtual Scientific Computing jobs in California look for? The top searched job categories for Virtual Scientific Computing jobs in California are:
What cities in California are hiring for Virtual Scientific Computing jobs? Cities in California with the most Virtual Scientific Computing job openings:
Virtual Scientific Computing jobs near you

INTERNSHIP: BIOVIA AI Scientific Virtual Companion Development

3ds

San Diego, CA • On-site, Remote

$22 - $40/hr

Full-time, Internship

Posted 8 days ago

Job description

Role & Responsibilities
As an Intern in the BIOVIA MARIE Scientific Virtual Companion team, you will contribute to the development of agentic AI solutions and machine learning capabilities on Dassault Systèmes' 3DEXPERIENCE platform and BIOVIA's Pipeline Pilot AI platform. Your work will empower scientists and researchers to solve complex challenges in cheminformatics, medical imaging, and scientific data processing.
Key Responsibilities
  • Develop AI Agents & Workflows:
    Design, implement, and optimize intelligent agents for scientific applications (e.g., chemistry, biology) using Pipeline Pilot and 3DEXPERIENCE. Build scalable, user-friendly workflows with graphical interfaces.
  • Machine Learning Innovation:
    Research, develop, and deploy state-of-the-art deep learning algorithms for image analysis, tabular data processing, and scientific applications. Explore federated learning, continuous learning, and model optimization.
  • Collaboration & Product Development:
    Work with software engineers, product managers, QA teams, and customer-facing teams to deliver high-quality solutions. Participate in design, testing, and validation of AI/ML workflows.
  • Quality & Automation:
    Contribute to automated testing to ensure robustness and reliability of new functionalities. Support workflow automation and AI-driven capabilities in Pipeline Pilot.
  • Project Focus Areas:
    Potential projects include medical imaging quality control (e.g., MRI validation), deep learning model optimization, image annotation tools, privacy-preserving AI, and scientific workflow automation.

Qualifications
Education
  • Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Data Science, Biomedical Engineering, Electrical Engineering, or a related technical field.
  • Must remain actively enrolled in an accredited university for the duration of the internship.
  • Minimum cumulative GPA of 3.0.

Technical Skills & Experience
  • Required:
    • Proficiency in Python programming.
    • Experience with agentic AI, LLMs, and AI libraries (e.g., LangChain, LangGraph).
    • Familiarity with machine learning/deep learning frameworks (e.g., TensorFlow, PyTorch).
    • Knowledge of scientific computing libraries (e.g., NumPy, pandas, scikit-learn, OpenCV).
  • Preferred:
    • Experience with data pipelines, cheminformatics, or medical imaging workflows.
    • Hands-on experience with model training, deployment, or workflow automation.
    • Exposure to image processing, annotation tools, or federated learning.

Inclusion statement
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.
Salary Pay Transparency
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $22 and $40, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

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