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Overnight Graduate Software Developer Jobs in San Ramon, CA

CSBio

AI Software Engineering Intern

Menlo Park, CA · On-site

Position Summary Are you a software engineering self-starter that can figure things out and is ... This role is ideal for a recent BS graduate who is resourceful, independent, and excited to build ...

8VC

Software Engineer, New Grad

San Francisco, CA · On-site

Software Engineer, New Grad Location: San Francisco Company: Thorin Stage: Seed | Incubated at 8VC ... New grad (or recent graduate) in Computer Science, Engineering, or a related field * Strong ...

Prelim

Software Engineer, Product

San Francisco, CA · On-site

$140K - $160K/yr

As a Software Engineer, Product at Prelim, you will own critical parts of the platform that powers ... Whether you're a new graduate with impressive projects or an experienced engineer, we want to hear ...

Monitise

Staff Java Server Software Engineer

Sunnyvale, CA · On-site

$160K - $240K/yr

... through DevOps best practices, CI/CD, and clean code principles. * Jump in to triage issues and ... This role requires being on-call during non-standard and/or overnight hours on a rotational basis.

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Overnight Graduate Software Developer information

See San Ramon, CA salary details

$33K

$112K

$269.9K

How much do overnight graduate software developer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for overnight graduate software developer in San Ramon, CA is $112,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is an Overnight Graduate Software Developer?

An Overnight Graduate Software Developer is a recent graduate who works primarily during nighttime hours to develop, test, and maintain software applications. These roles are often found in companies that require 24/7 software support, rapid development cycles, or handle international clients across different time zones. The position involves collaborating with other developers, debugging code, and implementing new features while ensuring the software remains functional and secure overnight. This job is ideal for graduates looking to gain industry experience and contribute to live projects outside of standard business hours.

What are the key skills and qualifications needed to thrive as an Overnight Graduate Software Developer, and why are they important?

To thrive as an Overnight Graduate Software Developer, you need a solid grounding in programming languages, software engineering principles, and a relevant degree such as computer science or software engineering. Familiarity with version control systems (like Git), integrated development environments (IDEs), and possibly cloud platforms or CI/CD tools is typically expected. Strong problem-solving skills, adaptability to shift work, and effective communication set outstanding candidates apart. These competencies ensure you can deliver high-quality code, collaborate with global teams, and maintain productivity during overnight hours.

What are some unique challenges faced by overnight graduate software developers, and how can they be managed?

Overnight graduate software developers often encounter challenges such as aligning with daytime teams, managing communication across shifts, and maintaining work-life balance. To manage these, it's important to establish clear documentation practices, utilize collaboration tools effectively, and set up regular handoff meetings with daytime colleagues. Additionally, prioritizing self-care and a consistent sleep schedule can help maintain productivity and well-being in this non-traditional work environment.
What cities near San Ramon, CA are hiring for Overnight Graduate Software Developer jobs? Cities near San Ramon, CA with the most Overnight Graduate Software Developer job openings:
Overnight Graduate Software Developer jobs near you

Junior Software Engineer

Mechanize, Inc

San Francisco, CA • On-site

$300K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 26 days ago

Job description

About Mechanize
Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at mechanize.work.
Why the work matters
AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering. We build the environments that expose those failures and help models improve.
What you'll do
You'll design, build, and refine RL tasks. Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader. You own the full lifecycle: coming up with the idea, implementing the grading infrastructure, running frontier models against the task, analyzing where and why they fail, and iterating until the task is rigorous and fair.
Coming up with good task ideas requires being clever: finding situations where a frontier model will fail in interesting ways, which means seeing gaps that the model itself doesn't see. You will use coding agents heavily, and a large part of the job is directing them well, evaluating their output, and knowing when they are failing in subtle ways.
What makes someone good at this
Strong technical fundamentals combined with an intuition for AI model behavior. You need to anticipate where a model will take shortcuts, distinguish genuine capability gaps from grader issues, and understand how a model will interpret a prompt. Most engineers significantly underestimate what frontier coding agents can already do; candidates who have spent significant time working with them will have a real head start.
Good fit if you:
  • Have just graduated or are about to graduate
  • Can code in Python
  • Are confident working independently
  • Are motivated by problems that require both technical skill and creative cleverness
  • No prior ML or AI experience required

We're happy to hire candidates who are very capable, even if they have no prior professional software experience.
Probably not a good fit if you:
  • Want a product engineering role building features for end users
  • Prefer a highly collaborative team environment with shared ownership
  • Want extensive structured mentorship

This is independent, high-ownership work. You own your tasks from start to finish, with regular check-ins and feedback.
Compensation
Compensation includes a $300,000 base salary, equity, and performance bonuses. Top performers can earn more in bonuses than in base salary.
Strong performers are recognized and promoted quickly. Benefits include health, dental, vision, and life insurance.
About Mechanize. ~20 person team in San Francisco. Backed by Patrick Collison, Nat Friedman, Daniel Gross, Jeff Dean, Dwarkesh Patel, and Sholto Douglas. Featured in the New York Times, the Dwarkesh Podcast and Hard Fork.
Learn more about the interview process: https://www.mechanize.work/how-our-interview-process-works
Learn more about the work: https://www.mechanize.work/what-working-here-is-like

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