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Remote Associates Degree In Computer Science Jobs in California

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Specialized experience in one or more of the following machine learning ...

Remote Summary: The main function of a network engineer is to determine user requirements and ... Education/Experience: • Bachelor's degree in computer science or a related field required.

Remote Summary: The main function of a network engineer is to determine user requirements and ... Education/Experience: • Bachelor's degree in computer science or a related field required.

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

S. in Computer Science, Computer Engineering or formal degree in related field * 5+ years ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

S. in Computer Science, Computer Engineering or formal degree in related field * 5+ years ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

B achelor's degree in Computer Science, Software Engineering, or a related field. * P roven ... F lexible working hours and remote work options. * G enerous paid time off and holiday leave. * A ...

Remote Duration: Full Time * Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum ...

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Remote Associates Degree In Computer Science information

Can I work remotely with a computer science degree?

A remote associate degree in computer science can qualify you for various remote jobs such as software development, IT support, and web development. Many employers value skills in programming languages, problem-solving, and familiarity with remote collaboration tools, making remote work feasible in this field.

What are some common challenges faced by students pursuing a remote Associate's Degree in Computer Science, and how can they be addressed?

Students pursuing a remote Associate's Degree in Computer Science often encounter challenges such as maintaining self-discipline, managing time effectively, and staying engaged without the structure of in-person classes. To address these, it's helpful to establish a dedicated study schedule, actively participate in online forums or group projects, and seek support from instructors or academic advisors when needed. Utilizing virtual resources and networking with peers can also enhance the learning experience and keep you motivated throughout the program.

What are the key skills and qualifications needed to thrive as a Remote Associate with an Associate's Degree in Computer Science, and why are they important?

To excel as a remote professional with an Associate's Degree in Computer Science, you need foundational knowledge in programming, databases, and computer systems, typically gained through coursework and related experience. Familiarity with languages like Python or Java, version control systems such as Git, and basic cloud platforms are often required. Strong self-motivation, time management, and clear online communication are crucial soft skills for remote collaboration. These abilities ensure effective independent work, technical problem-solving, and seamless integration with distributed teams.

Can I find a programming job with just an associate's degree in computer science?

A remote programming job can be accessible with an associate's degree in computer science, especially if you have strong coding skills, knowledge of programming languages, and experience with tools like Git and IDEs. However, many employers prefer candidates with a bachelor's degree or higher, so building a portfolio and gaining practical experience can improve job prospects.

What can I do with my associate's degree in computer science?

An associate's degree in computer science prepares individuals for entry-level roles such as computer support specialist, help desk technician, or network technician. It provides foundational skills in programming, troubleshooting, and basic networking, which can lead to further certifications or education for more advanced positions.

How can I make $2000 a week working from home?

A remote associate degree in computer science can help you qualify for high-paying freelance or contract roles such as software developer, web programmer, or IT consultant, which can pay $2000 or more weekly depending on experience and project scope. Building a strong portfolio, developing skills in programming languages, and utilizing platforms like Upwork or Freelancer can increase earning potential. Consistent work, specialized skills, and efficient time management are key to reaching this income level from home.

What is a Remote Associates Degree in Computer Science?

A Remote Associates Degree in Computer Science is a two-year undergraduate program that can be completed entirely online, allowing students to study from anywhere with internet access. This degree covers foundational topics in computer programming, software development, databases, and computer systems. Graduates are prepared for entry-level tech jobs or to transfer credits toward a bachelor’s degree in computer science. The remote format offers flexibility for those balancing work, family, or other commitments.

What is the difference between Remote Associates Degree In Computer Science vs Remote Software Developer?

AspectRemote Associates Degree In Computer ScienceRemote Software Developer
Required CredentialsAssociate degree in computer science or related fieldBachelor's degree in computer science or related field, or equivalent experience
Work EnvironmentRemote or on-site, often in educational or entry-level tech rolesPrimarily remote, working on coding, development, and software projects
Employer & Industry UsageEducational institutions, tech companies, entry-level IT rolesTech companies, startups, software firms, freelance projects

The Remote Associates Degree In Computer Science provides foundational knowledge suitable for entry-level tech roles, while a Remote Software Developer focuses on coding and building software applications. Both roles often operate remotely, but the software developer role typically requires more advanced programming skills and experience.

What are popular job titles related to Remote Associates Degree In Computer Science jobs in California? For Remote Associates Degree In Computer Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Associates Degree In Computer Science jobs in California look for? The top searched job categories for Remote Associates Degree In Computer Science jobs in California are:
What cities in California are hiring for Remote Associates Degree In Computer Science jobs? Cities in California with the most Remote Associates Degree In Computer Science job openings:
Infographic showing various Remote Associates Degree In Computer Science job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Software Engineer, Systems ML

Software Engineer, Systems ML

Meta

Menlo Park, CA • On-site, Remote

$154K/yr

Full-time

Re-posted 25 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

136th of 209 rated software companies


Job description

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Software Engineer, Systems ML Responsibilities:
  • Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences
  • Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
  • Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
  • Drive large efforts across multiple teams
  • Define use cases, and develop methodology & benchmarks to evaluate different approaches
  • Apply in depth knowledge of how the ML infra interacts with the other systems around it
  • Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design
  • Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Preferred Qualifications:
  • Experience with distributed systems or on-device algorithm development
  • Experience with recommendation and ranking models
  • Technical leadership experience
  • A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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