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Graduate Software Developer Jobs in San Jose, CA

Fortinet, Inc.

New Grads 2026 (US)

Sunnyvale, CA

... to graduate and available for full time opportunities. Whether you are interested in a Software Developer role, QA, C++ Programmer, Web Developer, or Hardware Developers, we encourage you to apply ...

Fortinet, Inc.

New Grads 2026 (US)

Sunnyvale, CA · On-site

... to graduate and available for full time opportunities. Whether you are interested in a Software Developer role, QA, C++ Programmer, Web Developer, or Hardware Developers, we encourage you to apply ...

Fortinet

New Grads 2026 (US)

Sunnyvale, CA

... to graduate and available for full time opportunities. Whether you are interested in a Software Developer role, QA, C++ Programmer, Web Developer, or Hardware Developers, we encourage you to apply ...

Cadence

Lead Software Engineer

San Jose, CA · On-site

... new PhD Graduate • Should be versatile in C++, data structure, algorithms Preferred : • ... software to accelerate innovation in the engineering design of silicon to systems. Founded in 1988 ...

Equation Staffing

Software Engineer

Menlo Park, CA · On-site

Learn to Win Senior Software Engineer Learn to Win (L2W) is actively seeking senior software ... In hope of bridging the gap, a group of graduate students from Harvard and Stanford has teamed up ...

Clerkie

Software Engineer Internship

San Francisco, CA · On-site +1

$80/hr

A soon-to-be or recent graduate (class of 2024 or 2025 preferred) with a degree in Computer Science, Software Engineering, or a related field * Proficiency in JavaScript/TypeScript and experience ...

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 ...

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Showing results 21-40

All JobsGraduate Software Developer JobsGraduate Software Developer Jobs in San Jose, CA

Graduate Software Developer information

See San Jose, CA salary details

$56.2K

$130.9K

$194.3K

How much do graduate software developer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for graduate software developer in San Jose, CA is $130,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $152,200.00 per year, depending on experience, location, and employer.

What is a graduate software developer?

A Graduate Software Developer is an entry-level role for recent graduates in computer science or related fields. They work as part of a development team to design, develop, test, and maintain software applications. Typical responsibilities include writing code, debugging, collaborating with senior developers, and learning best practices. This role provides hands-on experience and helps graduates build technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a graduate software developer?

To thrive as a Graduate Software Developer, you need a solid understanding of programming languages such as Java, Python, or C++, as well as a degree in computer science or a related field. Experience with version control systems like Git, software development frameworks, and familiarity with operating systems are typically required. Strong problem-solving skills, effective communication, and eagerness to learn make candidates stand out. These competencies are crucial for contributing to projects, adapting to fast-changing technologies, and working efficiently within collaborative development teams.

What are typical career progression opportunities for a graduate software developer?

Graduate Software Developers often start by working closely with experienced team members on code development, bug fixing, and testing. As you gain experience and demonstrate your abilities, you can move into roles such as Software Developer, Senior Developer, or even into specialized areas like DevOps, QA, or front-end/back-end development. Many companies offer mentorship, training, and clear advancement paths, allowing motivated graduates to progress quickly. Additionally, early exposure to collaborative projects and agile methodologies will help build the foundation for leadership or technical expert positions over time.

What are popular job titles related to Graduate Software Developer jobs in San Jose, CA? For Graduate Software Developer jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Graduate Software Developer jobs in San Jose, CA look for? The top searched job categories for Graduate Software Developer jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Graduate Software Developer jobs? Cities near San Jose, CA with the most Graduate Software Developer job openings:
Graduate Software Developer jobs near you
Infographic showing various Graduate Software Developer job openings in San Jose, CA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,923 per year, or $62.9 per hour.

Member of Technical Staff (Software Engineer)

Cerebras

Sunnyvale, CA • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Cerebras is a company that builds the world's largest AI chip, significantly enhancing training and inference speeds. They are seeking a Software Engineer to develop and maintain high-performance, low-latency inference infrastructure, focusing on deploying scalable services and collaborating with cross-functional teams.
Responsibilities:
• Implement infrastructure to support high-performance, low-latency inference service.
• Deploy and configure Kubernetes services to ensure scalability and reliability of inference workloads.
• Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs.
• Integrate inference services with containerized environments using Docker and Kubernetes for orchestration.
• Ensure high availability and fault tolerance by implementing multi-region deployments and disaster recovery strategies.
• Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks.
• Collaborate with machine learning engineers to validate inference accuracy and performance against functional and latency requirements.
• Triage and resolve defects in the service by analyzing logs, metrics, and distributed traces.
• Debug issues related to model deployment, container orchestration, or networking configurations, documenting steps to reproduce and root-cause defects.
• Collaborate with cross-functional teams to address performance regressions, scalability issues, or integration failures in the inference pipeline.
• Develop automated scripts to detect and mitigate common failure modes, improving system reliability.
• Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers.
• Work with product management and user experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging.
• Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability.
• Participate in release planning and prioritization discussions to align infrastructure development with customer needs and business objectives.
Qualifications:
Required:
• Master's degree (or foreign equivalent) in Computer Science or a related field.
• One (1) year of experience as a Software Developer, Student/Intern (Software Developer), Member of Technical Staff (Software Engineer), Software Engineer, or a related occupation.
• Employer accepts full-time or equivalent part-time experience gained before, during, or after graduate studies.
• Docker and Kubernetes;
• Java or C++;
• ActiveMQ and Kafka;
• Python or Groovy;
• JavaScript or TypeScript;
• Linux;
• SQL, OracleDB, and Redis; and
• Git
Company:
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. Founded in 2015, the company is headquartered in Sunnyvale, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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