2

Remote New Grad Software Engineer Jobs in Fremont, CA

Software Engineer

Mountain View, CA ยท Remote

$280K - $320K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... remote work options If you are a talented and passionate Senior Software Engineer looking to make ... from new college grads to senior consultants. Our team has expert knowledge in each domain ...

Software Engineer

San Francisco, CA ยท On-site +1

  • Medical

  • PTO

C ollaborate with cross-functional teams to define, design, and ship new features. * W rite clean ... F lexible working hours and remote work options. * G enerous paid time off and holiday leave. * A ...

Senior Software Engineer - Remote

San Francisco, CA ยท Remote

$144K - $190K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

SOFTWARE ENGINEER Remote (Pacific Hours) axiomcloud.ai 510-683-5200 Axiom Cloud is transforming how ... Reduce technical debt by addressing existing shortcuts and setting a higher bar for new feature ...

Software Engineer

San Francisco, CA ยท On-site +1

$111K - $162K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Research new features and technologies Job Designation Remote: Employee is not required to be in or ... SaaS, Enterprise software engineering * Experience developing JavaScript web applications

Headquartered in Silicon Valley, CENTRL has regional offices in New York, India, Australia, and the ... We are looking for a Software Engineer to join our Engineering team. This contract has a 6 month ...

Software Engineer

San Francisco, CA ยท On-site +1

$146K - $235K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You collaborate well with other team members when brainstorming, designing, and implementing new ... Employee divides their time between in-office and remote work. Access to an office location is ...

Software Engineer

San Francisco, CA ยท On-site +1

$146K - $235K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Employee divides their time between in-office and remote work. Access to an office location is ... California: $146,400.00 - $235,375.00 base salary Washington, Maryland, New Jersey and New York ...

Software Engineer

San Francisco, CA ยท On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Employee divides their time between in-office and remote work. Access to an office location is ... California: $146,400.00 - $235,375.00 base salary Washington, Maryland, New Jersey and New York ...

Software Engineer

San Francisco, CA ยท On-site +1

$146K - $235K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Explore and adopt new technologies and best practices to improve system performance ... Employee divides their time between in-office and remote work. Access to an office location is ...

Senior Software Engineer - New Revenue

San Francisco, CA ยท On-site +1

$164K - $266K/yr

  • Medical

  • Life

  • Retirement

  • PTO

What you'll do We are looking for a Full Stack Senior Software Engineer to join our "New Revenue ... Employee divides their time between in-office and remote work. Access to an office location is ...

Software Engineer

San Francisco, CA ยท On-site +1

$104K - $161K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Research new features and technologies * Apply strong analytical skills and ability to investigate ... Employee divides their time between in-office and remote work. Access to an office location is ...

next page

Showing results 1-20

Remote New Grad Software Engineer information

See Fremont, CA salary details

$69.5K

$161.5K

$225K

How much do remote new grad software engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote new grad software engineer in Fremont, CA is $161,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $189,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote New Grad Software Engineer vs Remote Software Developer?

AspectRemote New Grad Software EngineerRemote Software Developer
Required CredentialsBachelor's degree in CS or related field, internship experience often preferredSimilar educational background, may require more professional experience
Work EnvironmentEntry-level, mentored, collaborative teams, often in tech companies or startupsCan be entry or mid-level, more autonomous, in various industries
Employer & Industry UsageCommon in tech, startups, large corporations hiring entry-level talentUsed across industries, including tech, finance, healthcare, often for experienced roles

The main difference is that a Remote New Grad Software Engineer is an entry-level role designed for recent graduates, focusing on learning and growth, while a Remote Software Developer may have more experience and responsibilities. Both roles often require similar educational backgrounds and work in similar environments, but the developer role can involve more independent work and complex projects.

What are some unique challenges new grad software engineers face when starting in a fully remote environment?

New grad software engineers working remotely often encounter challenges such as building strong relationships with teammates, navigating company culture, and getting timely feedback. Without in-person interactions, it can take extra effort to communicate effectively, ask questions, and stay connected with mentors. Proactively reaching out through messaging tools, participating in virtual meetings, and setting up regular check-ins with managers can help ease the transition and ensure continued growth and support.

What is a remote new grad software engineer?

A Remote New Grad Software Engineer is an entry-level professional who has recently graduated from college or university with a degree in computer science or a related field and works from a location outside the traditional office setting. These engineers are responsible for designing, developing, testing, and maintaining software applications while collaborating with their teams virtually. Remote positions offer flexibility and the opportunity to work with companies regardless of geographic location, but they also require strong communication skills and self-motivation.

What are the key skills and qualifications needed to thrive as a remote new grad software engineer, and why are they important?

To thrive as a Remote New Grad Software Engineer, you need a solid understanding of programming languages (such as Python, Java, or JavaScript), algorithms, and software development principles, usually supported by a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, collaborative tools (e.g., Jira, Slack), and cloud platforms is typically expected. Strong self-motivation, effective communication, and the ability to learn independently are vital soft skills in a remote environment. These competencies ensure you can contribute to codebases, collaborate across distances, and adapt quickly to evolving technical challenges.
What are popular job titles related to Remote New Grad Software Engineer jobs in Fremont, CA? For Remote New Grad Software Engineer jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Remote New Grad Software Engineer jobs in Fremont, CA look for? The top searched job categories for Remote New Grad Software Engineer jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Remote New Grad Software Engineer jobs? Cities near Fremont, CA with the most Remote New Grad Software Engineer job openings:
Infographic showing various Remote New Grad Software Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $161,489 per year, or $77.6 per hour.

Software Engineer, ML Infra (Junior & New Grad)

NewsBreak

Mountain View, CA โ€ข Remote

Full-time

Posted 11 days ago


Job description

About the role:

We're hiring a Machine Learning Infrastructure Engineer to help build the backbone that trains, serves, and monitors the models behind our Ads and Recommendations products. You'll join a small, high-ownership team that ships platform improvements end-to-end-partnering with product and data teams, reducing latency and cost, and shortening the path from an idea to a safely launched model.

You'll work across the ML lifecycle: making training faster and more reliable, improving model serving performance, and strengthening our feature/embedding platform so models stay fresh and consistent between offline and online use. We're looking for someone who can take real ownership, finish what's started, and raise the bar on stability and developer experience.

Why this role

  • Scope & impact: small team, big surface area-your work lands directly in production.
  • Ownership: from design to rollout to post-launch learnings; real autonomy with support.
  • Growth: visibility across the stack and a clear path to lead projects and mentor others.
  • Pragmatic culture: we optimize for outcomes over buzzwords, and we value clear thinking, and follow-through.

If you like building reliable systems that make ML teams move faster-and you enjoy turning complexity into simple, durable solutions-we'd love to talk.

Responsibilities
  • Design and develop machine learning infrastructure.
  • Own and enhance core components of the ML infrastructure, including systems for offline and online model training, model pipeline health monitoring, model serving, feature authoring, and feature serving.
  • Proactively address ML infrastructure issues that may impact production.
  • Collaborate with ML engineers to build robust model pipelines utilizing the ML infrastructure.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field with 2+ years of relevant work experience; or a Master's/PhD in a related discipline.
  • Familiarity with software development processes, including version control, bug tracking, and design documentation.
  • Proficient in Python, with a strong understanding of object-oriented languages such as C++ or Java
  • Basic knowledge of Applied Machine Learning and experience with major Deep Learning frameworks, such as PyTorch and TensorFlow.

Preferred qualifications

  • Familiarity with cloud services such as AWS, GCP, Azure, and others.
  • Contributions to open-source machine learning or infrastructure tools.
  • A systematic, data-driven problem-solving approach combined with strong communication skills.