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Jr Engineer Jobs in Berkeley, CA (NOW HIRING)

DevOps Engineer

Fremont, CA

$57.75 - $79/hr

... Engineer Location: Fremont, CA Duration: 12 Months Works with external customers and internal ... and Jr level) infrastructure, configuration and deployment automation at large scale/high ...

DevOps Engineer

Fremont, CA · On-site

$57.75 - $79/hr

... Engineer Location: Fremont, CA Duration: 12 Months • Works with external customers and internal ... and Jr level) infrastructure, configuration and deployment automation at large scale/high ...

DevOps Engineer

Fremont, CA · On-site

$58 - $79.25/hr

... Engineer to leverage tools and techniques involving infrastructure as code and configuration ... and Jr level) infrastructure, configuration and deployment automation at large scale/high ...

This is for an Innovation Lab, where they need someone with good coding skills on Core Java, Spring, Hibernate, SQL . REST API Some UI experience using JQuery, Angular , Javascript is good to have.

Company Description This is for an Innovation Lab, where they need someone with good coding skills on Core Java, Spring, Hibernate, SQL . REST API Some UI experience using JQuery, Angular ...

JR-0102782**Your work days are brighter here.**We're obsessed with making hard work pay off, for ... Engineering, but brighter.**About the Role**As a Senior/Principal Machine Learning Engineer in ...

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Showing results 1-20

Jr Engineer information

See Berkeley, CA salary details

$41K

$87.9K

$134.1K

How much do jr engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for jr engineer in Berkeley, CA is $87,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $98,000.00 per year, depending on experience, location, and employer.

How do I become a junior engineer?

To become a junior engineer, typically you need a relevant bachelor's degree in engineering or a related field. Gaining practical experience through internships or entry-level positions, developing skills in engineering software and tools, and obtaining relevant certifications can improve your chances of securing a junior engineering role.

What is the difference between Jr Engineer vs Mechanical Engineer?

AspectJr EngineerMechanical Engineer
Required CredentialsDiploma or Bachelor's in EngineeringBachelor's or higher in Mechanical Engineering
Work EnvironmentEntry-level, supervised tasks, site or officeDesign, analysis, project management, often more autonomous
Employer & Industry UsageConstruction, manufacturing, engineering firmsDesign firms, manufacturing, R&D, industrial sectors

Jr Engineers typically hold diplomas or bachelor's degrees and perform supervised tasks in construction or manufacturing environments. Mechanical Engineers usually have a bachelor's or higher degree and handle design, analysis, and project management roles. While Jr Engineers focus on learning and supporting projects, Mechanical Engineers take on more complex responsibilities and autonomous work.

What are the key skills and qualifications needed to thrive as a Jr Engineer?

To thrive as a Jr Engineer, you need a solid understanding of engineering fundamentals, problem-solving abilities, and a relevant degree in engineering or a related field. Familiarity with industry-standard software like AutoCAD, MATLAB, or SolidWorks, and an understanding of project management tools or safety standards, is often required. Strong communication, teamwork, and a willingness to learn are essential soft skills that help Jr Engineers grow and adapt. These skills enable Jr Engineers to contribute effectively to projects, collaborate with senior staff, and develop professionally within engineering teams.

What are some common challenges faced by Jr Engineers when transitioning from academic projects to real-world engineering tasks?

Jr Engineers often find that real-world engineering projects involve more collaborative work, tighter deadlines, and the need to follow established processes and documentation standards compared to academic assignments. Adjusting to working within a team, understanding project management tools, and effectively communicating with senior engineers and other departments can be challenging at first. However, with mentorship and hands-on experience, Jr Engineers quickly develop these skills and become valuable contributors to their teams.

What is a Jr Engineer?

Jr Engineers, or Junior Engineers, are entry-level professionals who assist in designing, developing, and maintaining engineering projects under the supervision of senior staff. They typically perform tasks such as drafting plans, conducting tests, collecting data, and troubleshooting issues in their field of engineering. Jr Engineers gain hands-on experience while learning industry standards and best practices, and their role serves as a foundation for career growth in engineering. They usually have a relevant degree or diploma and may work in fields like civil, mechanical, electrical, or software engineering.
What job categories do people searching Jr Engineer jobs in Berkeley, CA look for? The top searched job categories for Jr Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Jr Engineer jobs? Cities near Berkeley, CA with the most Jr Engineer job openings:
Infographic showing various Jr Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $87,914 per year, or $42.3 per hour.

Python Software Engineer (Jr-Mid Level)

Stellar IT Solutions LLC

Fremont, CA

$45 - $50/hr

Contractor

Posted 14 days ago


Job description

Python Software Engineer (Jr-Mid Level)6 months, with potential extension or conversionFremont, CA — 5 days onsite Role Summary

We are seeking a junior to mid‑level Python Software Engineer (3-5 years experience) to design, build, and optimize data‑intensive applications and machine learning solutions. The ideal candidate will come from fast‑paced technology companies (Amazon, Google, Microsoft, PayPal, Uber, Airbnb, Doordash, Expedia, etc.) and have a concise resume highlighting hands‑on coding contributions, debugging, troubleshooting, and distributed systems experience.

This role requires strong engineering fundamentals, recent hands‑on development, and the ability to clearly articulate technical contributions.

Responsibilities
  • Design, develop, and deploy LLM‑powered and AI‑driven applications.

  • Build scalable, high‑performance solutions using Python and modern engineering practices.

  • Develop and maintain REST APIs and microservices supporting critical business operations.

  • Work with diverse data sources (text, voice, image, structured datasets).

  • Collaborate with cross‑functional teams to identify opportunities for automation and optimization.

  • Own production systems: monitoring, troubleshooting, and continuous improvement.

  • Translate ambiguous business requirements into end‑to‑end technical solutions.

  • Write clean, maintainable, and reusable code following agile practices.

Must‑Have Requirements
  • 3-5 years of professional software engineering experience.

  • Bachelor’s or Master’s in Computer Science, Engineering, or equivalent practical experience.

  • Strong hands‑on Python experience for data‑intensive and high‑performance applications.

  • Experience building and deploying production machine learning solutions.

  • Demonstrated work with Large Language Models (LLMs) and Generative AI.

  • Experience developing REST APIs and microservices.

  • Proficiency with MySQL and Redis.

  • Familiarity with at least one deep learning framework (PyTorch, TensorFlow, JAX).

  • Strong fundamentals in statistics, data analysis, model evaluation, and performance optimization.

  • Clear examples of debugging, troubleshooting, and distributed systems problem‑solving.

Nice‑to‑Have Qualifications
  • Experience with recommender systems, operations research, or advanced AI/ML solutions.

  • Building and supporting enterprise‑scale ML platforms.

  • Working with large, complex datasets in production environments.

  • Knowledge of C# and ASP.NET (secondary skill).

  • Prior experience automating compliance frameworks and generating audit evidence.