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Computer Science Entry Level Remote Jobs in Santa Clara, CA

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Bachelor's degree in Computer Science, Computer Engineering, or a related field; Master's or PhD ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Bachelor's degree in Computer Science, Computer Engineering, or a related field; Master's or PhD ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

Pathway

Spontaneous Application

Palo Alto, CA · On-site +1

... computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is ... Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto ...

WorkforceFair

Remote AI Trainer Prompt Writer

San Jose, CA · Remote

$35 - $150/hr

Investment Bankers - Capped at $700 Biology PhD - Capped at $600 Chemistry PhD - Capped at $600 CAD ... Scientific Visualization Specialists - Capped at $500 Philosophy Expert - Capped at $480 Energy ...

CENTRL

Software Engineer (Remote)

Mountain View, CA · Remote

Bachelor's degree in Computer Science * Must have work authorization in USA * 2-3 years experience Preferred Qualifications * Demonstrated software engineering experience * Experience coding with ...

MatX

Software Engineer - Kernels

Mountain View, CA · On-site +1

$175K - $400K/yr

Bachelor of Computer Science or equivalent degree * Experience optimizing software for specialized ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

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Computer Science Entry Level Remote information

What are the key skills and qualifications needed to thrive in the Computer Science Entry Level Remote position, and why are they important?

To thrive as a Computer Science Entry Level Remote professional, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and a relevant bachelor's degree or equivalent coursework. Familiarity with version control systems (like Git), collaborative coding platforms, and project management tools is typically required. Strong organizational skills, proactive communication, and the ability to work independently are crucial soft skills for remote work. These abilities ensure you can deliver quality technical solutions, collaborate effectively with distributed teams, and adapt to the unique demands of a remote environment.

How to make $1000 a week remotely?

A computer science entry-level remote role can potentially pay $1000 or more per week, especially if you take on multiple freelance projects, develop in-demand skills like programming or web development, and build a strong portfolio. Earning this amount often requires consistent work, a reliable internet connection, and proficiency with tools such as Git or cloud platforms. Setting clear goals and expanding your skill set can help increase your earning potential over time.

How to make $10,000 a month with no degree?

A computer science entry-level remote role typically does not pay $10,000 per month without experience or advanced skills. To increase earning potential, develop in-demand skills such as programming, cloud computing, or cybersecurity, and pursue certifications like CompTIA or AWS. Building a strong portfolio, freelancing, or working in high-demand areas can also help boost income over time.

Can I get a remote job with a computer science degree?

A computer science entry-level remote job is accessible with a degree in computer science, as many employers value foundational programming skills, problem-solving abilities, and familiarity with tools like Git and cloud platforms. Remote roles often require strong communication skills and self-motivation, and some positions may also require certifications or experience with specific programming languages or frameworks.

What is a Computer Science Entry Level Remote job?

A Computer Science Entry Level Remote job is a position for recent graduates or individuals with minimal experience in computer science, allowing them to work from home or another remote location. These roles often involve software development, data analysis, IT support, or QA testing. Employers typically seek candidates with programming knowledge, problem-solving skills, and familiarity with technologies like Python, Java, or SQL. Remote work requires strong communication and self-discipline to collaborate effectively with teams.

What jobs pay 4000 a week without a degree?

Entry-level remote computer science roles such as software developers, web developers, or cybersecurity analysts can sometimes reach $4,000 per week with experience, specialized skills, or freelance work. These positions often require proficiency in programming languages, problem-solving skills, and self-motivation, and income can vary based on project complexity and client demand.

What are some typical challenges faced by entry-level computer science professionals working remotely?

Entry-level computer science professionals working remotely often face challenges such as managing time effectively without direct supervision, staying motivated, and overcoming feelings of isolation. Communication can also be more complex, as remote teams rely heavily on written channels and scheduled meetings to collaborate. However, most companies provide onboarding support, mentoring programs, and regular check-ins to help new hires integrate smoothly. Developing strong self-discipline and proactively reaching out to coworkers can significantly ease the transition and contribute to long-term success in a remote role.

What are the most commonly searched types of Computer Science Remote jobs in Santa Clara, CA? The most popular types of Computer Science Remote jobs in Santa Clara, CA are:
What are popular job titles related to Computer Science Entry Level Remote jobs in Santa Clara, CA? For Computer Science Entry Level Remote jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science Entry Level Remote jobs in Santa Clara, CA look for? The top searched job categories for Computer Science Entry Level Remote jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Computer Science Entry Level Remote jobs? Cities near Santa Clara, CA with the most Computer Science Entry Level Remote job openings:
Computer Science Entry Level Remote jobs near you
Infographic showing various Computer Science Entry Level Remote job openings in Santa Clara, CA as of July 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% Remote job distribution.

Senior Software Engineer - CUDA

Snarkify

Palo Alto, CA • On-site, Remote

$144K - $189K/yr

Full-time

Re-posted 23 days ago

Job description

Company Description

At Snarkify, we are passionately driven by our mission to scale zero-knowledge proofs (ZKPs) for a decentralized future. We empower developers by providing robust infrastructure and user-friendly tools, enabling them to effectively build, deploy, and scale ZKP applications. Our operations are steered by a stellar founding team comprising two Ph.D. holders and a Master holder. Our founders carry exceptional expertise gained from renowned organizations such as the Ethereum Foundation, Facebook, Amazon, and Dropbox. Through the application of folding schemes, proof aggregation, and GPU acceleration, we're pushing the scalability of proof systems to unprecedented levels. Through this unwavering commitment, we are shaping a future that promises enhanced security, privacy, and decentralization.

Job Description

Snarkify is seeking an experienced and highly skilled Senior GPU Performance Engineer to join our team and play a pivotal role in advancing the state-of-the-art in Zero-Knowledge Proof (ZKP) acceleration. As a key member of our team, you will have the unique opportunity to shape the future of modern cryptography and decentralized applications by optimizing GPU-based solutions for ZKP applications.

In this role, you will collaborate with our engineering team to identify performance bottlenecks and design innovative GPU-based algorithms and data structures that push the boundaries of ZKP acceleration. Your expertise in GPU computing, performance optimization, and parallel programming will be instrumental in driving the development of high-performance, energy-efficient solutions that redefine the capabilities of ZKPs and lay the foundation for a truly decentralized future.

Responsibilities

  • Design, develop, and optimize GPU-based algorithms and data structures to accelerate ZKP proof systems and related computations.
  • Collaborate with the engineering team to identify performance bottlenecks and propose innovative solutions to improve overall system efficiency.
  • Develop and maintain high-quality, well-documented code that adheres to best practices for GPU programming.
  • Analyze and optimize performance across a wide range of GPU architectures, ensuring maximum performance and compatibility.
  • Stay up-to-date with the latest advancements in GPU technology, programming techniques, and industry best practices.
  • Contribute to the creation of technical resources, including whitepapers, tutorials, and presentations, to share knowledge and promote our GPU-based solutions.
  • Mentor junior engineers and provide guidance on GPU-related topics and performance optimization techniques.
Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field; Master's or PhD preferred.
  • 2+ years of experience in GPU computing, with a focus on performance optimization and parallel programming.
  • Proficient in GPU programming languages such as CUDA.
  • Strong understanding of computer architecture, memory systems, and parallel algorithms.
  • Experience with profiling and debugging tools for GPU applications, such as NVIDIA Nsight.
  • Familiarity with ZKP applications and blockchain technologies is a plus.
  • Excellent problem-solving skills and ability to analyze complex systems.
  • Strong communication skills, with the ability to work effectively in a collaborative team environment.
  • Demonstrated passion for staying up-to-date with the latest advancements in GPU technology and a commitment to continuous learning.
Additional Information

Benefits

  • Competitive base salary with founding member equity.
  • The opportunity to build the next-generation ZK computing platform.
  • Immersion in a team of top-notch global blockchain engineers.
  • A flexible and innovative remote work environment.
  • Room for continuous growth and development in the ZK field.

Apply