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Remote Amazon Computer Science Jobs in Richmond, TX

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Software Engineer

Houston, TX · Remote

$105K - $130K/yr

Requirements Bachelor's degree in Computer Science, Engineering, or a related technical field. 0-2 ... REMOTE Benefits 401(k) Parental leave Health insurance Paid time off Employee discount Vision ...

EDUCATION AND EXPERIENCE · Bachelor's degree in Cybersecurity, Computer Science, Engineering ... Remote Terminal Units (RTU), Human Machine Interfaces (HMI), Historian systems, Engineering ...

Bachelor's degree from an accredited university in computer science or a related science or ... Location: Houston, Texas, remote with some in-person meetings * Employment Type: Full-time * ...

Intern (Flight Ops AI)

Houston, TX · On-site +1

$14.50 - $19/hr

Salt Lake City, Utah (Hybrid/Remote Considered) Salary/Hourly Rate: hourly Schedule: Part-Time ... Computer Science, Computer Engineering, Systems Engineering, Aerospace Engineering, Mechanical ...

Showing results 41-60

Remote Amazon Computer Science information

What is a remote Amazon computer science job?

Remote Amazon computer science jobs are roles at Amazon that allow professionals to work from locations outside of Amazon offices, focusing on computer science domains such as software development, data engineering, machine learning, and cloud computing. These positions typically require strong technical skills in programming, algorithms, and systems design, and they often support Amazon’s various products and services from a virtual setting. Remote roles offer flexibility while still enabling collaboration with global teams and contributing to large-scale projects. Candidates usually need a degree in computer science or a related field and relevant work experience.

How do remote Amazon computer science professionals typically collaborate with their teams across different time zones?

Remote Amazon Computer Science professionals often work with colleagues spread across various regions, which requires strong communication and time management skills. Teams commonly use tools like Amazon Chime, Slack, and project management platforms to coordinate meetings, share updates, and track progress asynchronously. Flexibility in scheduling and clear documentation are crucial to ensure everyone stays informed and aligned, and regular virtual stand-ups or check-ins help maintain team cohesion. Despite the remote setting, Amazon fosters a collaborative environment where engineers support each other's growth and problem-solving.

What are the key skills and qualifications needed to thrive as a remote Amazon computer science professional, and why are they important?

To thrive as a Remote Amazon Computer Science professional, you typically need a strong background in computer science fundamentals, programming (such as Java, Python, or C++), and a relevant degree or equivalent experience. Familiarity with cloud computing platforms like AWS, software development tools, and version control systems such as Git is essential. Strong problem-solving, self-motivation, and effective communication are key soft skills for collaborating remotely and driving projects forward. These skills and qualities are critical for delivering scalable, high-quality solutions while working independently within Amazon's dynamic and distributed teams.

What is the difference between Remote Amazon Computer Science vs Remote Amazon Software Development?

AspectRemote Amazon Computer ScienceRemote Amazon Software Development
Required CredentialsBachelor's in Computer Science or related field, possibly some certificationsBachelor's in Computer Science or related field, often with coding certifications
Work EnvironmentResearch, data analysis, algorithm design, theoretical workCode writing, application development, system implementation
Employer & Industry UsageAmazon research labs, data teams, algorithm groupsAmazon software engineering teams, product development
Common Search & Comparison IntentUnderstanding research roles vs development roles at AmazonDistinguishing between development and research positions at Amazon

Remote Amazon Computer Science roles focus on research, algorithms, and theoretical work, while Remote Amazon Software Development roles emphasize coding, application building, and system implementation. Both require a strong foundation in computer science but differ in daily tasks and work environment.

What job categories do people searching Remote Amazon Computer Science jobs in Richmond, TX look for?

The top searched job categories for Remote Amazon Computer Science jobs in Richmond, TX are:

What cities near Richmond, TX are hiring for Remote Amazon Computer Science jobs?

Cities near Richmond, TX with the most Remote Amazon Computer Science job openings:

Infographic showing various Remote Amazon Computer Science job openings in Richmond, TX as of August 2026, with employment types broken down into 75% Full Time, 15% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Strategic Student Program: AI & Engineering Data Internship (Spring 2027, GSCS)

Houston, TX • Remote

Siemens
Machinery Manufacturing • 10K+ employees

$18 - $50/hr

Full-time, Internship

Retirement

Posted 4 days ago


Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

271st of 454 rated engineering


Job description

Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting co-ops and interns for our Spring 2027 Strategic Student Program. Our opportunities will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Baseline Program Requirements:

  • Currently enrolled as an undergraduate student at an accredited university
  • Legally authorized to work in the United States without the need for current or future sponsorship by the company
  • A minimum 3.0 GPA

Perks:

  • Employee discounts at our top customer sites
  • Networking with our global leaders
  • Mentorship from senior employees
  • Individual career development planning
  • Professional and technical workshops
  • Paid volunteer time off
  • Energetic student community
  • Leadership opportunities
  • Potential for full-time offers after university graduation and completion of the program

Position Overview:

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization. This role provides hands-on experience applying AI technologies to engineering challenges across aerospace, defense, and automotive industries.

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and support projects that demonstrate how Digital Threads enable intelligent decision-making throughout the product lifecycle. The role combines engineering, software, data management, and AI technologies to develop innovative customer-facing demonstrations and internal capabilities.

Key Responsibilities:

  • Develop and curate engineering datasets for AI, analytics, and demonstration use cases.
  • Support AI and generative AI proof-of-concepts involving engineering and Digital Thread data.
  • Assist in connecting systems, software, and electrical engineering information into reusable data models.
  • Evaluate and document AI-assisted engineering workflows and use cases.
  • Build dashboards, reports, and visualizations that communicate engineering insights.
  • Support technical enablement activities and customer demonstration development.

Requirements:

  • Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial
  • Comfortable working in a fully remote environment within the United States of America.
  • Intelligence, Software Engineering, Systems Engineering, or a related discipline.
  • Experience with Python, data analytics, machine learning, or AI technologies.
  • Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.
  • Strong communication, collaboration, and problem-solving skills.
  • Passion for applying emerging technologies to real-world engineering challenges.

#LI-PLM

#LI-Remote

#SWSaaS

You'll Benefit From

The hourly pay range for this position $18 - $50 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

Application Deadline

This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.


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