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Virtual Scientific Computing Jobs (NOW HIRING)

Data Scientist I (Assistant)

Rahway, NJ · On-site

$104K - $114.40K/yr

As an embedded member of a cross-functional scientific computing group, you will address complex ... Conduct active computational research in areas of machine learning, molecular modeling, and virtual ...

Senior Cloud Architect

Princeton, NJ

$68.25 - $86.75/hr

... scientific computing workloads across the enterprise. Azure is the primary platform, but the ... Experience with next-generation firewalls and virtual security appliances (e.g., Palo Alto, Check ...

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Virtual Scientific Computing information

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$596

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How much do virtual scientific computing jobs pay per week?

As of May 29, 2026, the average weekly pay for virtual scientific computing in the United States is $1,389.29, according to ZipRecruiter salary data. Most workers in this role earn between $1,163.46 and $1,471.15 per week, depending on experience, location, and employer.

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 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.

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.
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What cities are hiring for Virtual Scientific Computing jobs? Cities with the most Virtual Scientific Computing job openings:
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What job categories do people searching Virtual Scientific Computing jobs look for? The top searched job categories for Virtual Scientific Computing jobs are:
Infographic showing various Virtual Scientific Computing job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 11% Part Time, 5% Contract, and 1% Nights. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $72,243 per year, or $34.7 per hour.

Senior Software Engineer, High Performance Computing

Google

Kirkland, WA • On-site

$139.30K - $183.60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

37th of 183 rated software companies


Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Minimum qualifications:
  • Bachelor's degree in Computational Science in the field of Physics, Mathematics, Life Science Engineering, or equivalent practical experience.
  • 5 years of experience in scientific computing and software engineering.
  • 2 years of experience in scientific and technical computing (e.g., workflows, applications) from one of the following domains: healthcare/life science, manufacturing (CAE, EDA, energy), or financial services industry.

Preferred qualifications:
  • Master's degree or PhD in Computational Science in the field of Physics, Mathematics, Life Science Engineering, or a similar technical field.
  • 8 years of experience in scientific computing, software engineering, and high performance computing.
  • 4 years of experience in scientific computing (e.g., workflows, applications) from one or more of the following domains: healthcare/life science, manufacturing (CAE, EDA, energy), financial services industry.

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Our mission is to enable our customers to run their most demanding workloads for technical, scientific and engineering issues on our Google Cloud Platform (GCP). This High Performance Computing (HPC) role offers supercomputer-class infrastructure (CPUs, GPUs or TPUs) that interoperates with other cloud services from storage to AI.
We offer a range of Virtual Machine (VM) families tailored for HPC use and innovative control plane constructs to build scalable systems. We enable our customers to create tailor-made HPC environments from cloud building blocks or derived from use case focused reference architectures. We help our customers navigate the integration of AI into computational workflows and workloads.
The US base salary range for this full-time position is $174,000-$252,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Understand our customers computing goals and generalize them into repeatable usage patterns and adequate cloud architecture.
  • Implement specific HPC solutions as Infrastructure-as-Code and necessary deployment tooling functionality.
  • Work closely with Technical Leads, Product Managers and Partner Service Engineering teams to get high-quality features through the software project life-cycle.
  • Manage project schedules, identify technical risks and clearly communicate them to project stakeholders.
  • Collaborate with Program Manager (PM) and Go-to-Market (GTM) teams to develop solution collateral (guides, whitepapers, blog posts, etc.) to onboard customers and drive adoption.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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