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Assistant Engineer Jobs in Berkeley, CA (NOW HIRING)

Turner Construction

Engineer (Bay Area)

Berkeley, CA · On-site

Has supervisory responsibility for Assistant Engineers, Engineering Assistants, and Interns. The Engineer is the individual on the project responsible for building the overall project "on paper"

Turner Construction

Engineer (Bay Area)

Berkeley, CA · On-site

Has supervisory responsibility for Assistant Engineers, Engineering Assistants, and Interns. The Engineer is the individual on the project responsible for building the overall project "on paper"

Turner Construction

Engineer (Bay Area)

San Mateo, CA · On-site

Has supervisory responsibility for Assistant Engineers, Engineering Assistants, and Interns. The Engineer is the individual on the project responsible for building the overall project "on paper"

Join Us At PASE!

Project Engineer

San Ramon, CA · On-site

$100K - $125K/yr

Provides guidance and assistance to Assistant Engineers and Technicians with design tasks, including reviewing of work. * Communicates during projects including coordination with other engineers/BIM ...

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All JobsEngineer JobsAssistant Engineer JobsAssistant Engineer Jobs in Berkeley, CA

Assistant Engineer information

See Berkeley, CA salary details

$40.4K

$108.7K

$164.7K

How much do assistant engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for assistant engineer in Berkeley, CA is $108,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,300.00 and $128,000.00 per year, depending on experience, location, and employer.

What is an assistant engineer?

Assistant Engineers are entry-level professionals who support senior engineers in the planning, design, development, and maintenance of projects across various engineering fields such as civil, mechanical, electrical, or software. Their responsibilities often include assisting with technical tasks, preparing reports, conducting research, and ensuring compliance with project specifications and safety standards. Assistant Engineers gain practical experience and skills under the supervision of more experienced engineers, which helps them advance in their engineering careers.

How does an assistant engineer typically collaborate with senior engineers and other team members on projects?

Assistant Engineers work closely with senior engineers, designers, and other technical staff by supporting project planning, conducting site visits, and preparing technical documentation. They often assist in problem-solving sessions and help implement design solutions under supervision. Regular communication and teamwork are essential, as Assistant Engineers frequently coordinate tasks, share updates, and seek feedback to ensure project objectives are met efficiently. This collaborative environment provides valuable learning opportunities and helps build a strong foundation for career advancement.

What are the key skills and qualifications needed to thrive as an assistant engineer, and why are they important?

To thrive as an Assistant Engineer, you need a solid grounding in engineering principles, analytical thinking, and a relevant bachelor's degree in engineering or a related field. Familiarity with technical tools such as CAD software, project management systems, and industry-specific standards or certifications (like EIT or FE) is often required. Strong problem-solving skills, teamwork, and effective communication help you collaborate on complex projects and interact with stakeholders. These skills and qualifications are essential for delivering accurate technical support, ensuring project efficiency, and contributing to successful engineering outcomes.

What is the difference between Assistant Engineer vs Junior Engineer?

AspectAssistant EngineerJunior Engineer
Required CredentialsBachelor's degree in engineering or related field, often with some certificationsBachelor's degree in engineering, entry-level certification may be preferred
Work EnvironmentSupports senior engineers, involved in project planning and executionPerforms basic engineering tasks, supervised by senior staff
Employer & Industry UsageCommon in construction, manufacturing, civil, and mechanical sectorsUsed interchangeably in similar industries, often as entry-level role

Assistant Engineers typically have more responsibilities in supporting project management and planning, while Junior Engineers focus on executing specific technical tasks under supervision. Both roles require similar educational backgrounds, but Assistant Engineers often have additional certifications or experience. The roles are used across various engineering sectors and serve as stepping stones for career advancement.

How much is the salary of an assistant engineer?

The salary of an assistant engineer typically ranges from $50,000 to $70,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced assistants or those with specialized skills can earn higher wages.
More about Assistant Engineer jobs

What are the most commonly searched types of Engineer jobs in Berkeley, CA?

The most popular types of Engineer jobs in Berkeley, CA are:

What are popular job titles related to Assistant Engineer jobs in Berkeley, CA?

For Assistant Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What cities near Berkeley, CA are hiring for Assistant Engineer jobs?

Cities near Berkeley, CA with the most Assistant Engineer job openings:

Assistant Engineer jobs near you
Infographic showing various Assistant Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $108,674 per year, or $52.2 per hour.

Software Engineer: ML Infra

Generalist AI, Inc

San Mateo, CA • On-site

$260K - $350K/yr

Full-time

Re-posted 1 hour ago

Job description

About Generalist
At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
About the Role
Generalist trains very large robot foundation models. This requires utilizing very large numbers of the latest generation GPU hardware and infrastructure (currently Nvidia) to run distributed training jobs and researcher experiments. We have extreme requirements on storage and data loading infrastructure that requires maximizing cloud infrastructure and custom solutions.
You will also own inference infrastructure. For our robots this is a fleet of on-prem GPUs attached to robots that have extreme real-time and latency budgets in compute constrained environments.
You'll be responsible for:
  • Owning our GPU compute fleets
  • Ensure our GPUs are easy for researchers to use and maximally utilized
  • Optimizing and improving ML data loading transport and storage in highly distributed fully utilized environments.
  • Orchestration of robot inference fleets

You might thrive in this role if you:
  • Have managed large fleets of GPUs doing large-scale, long-term, highly distributed training runs or inference
  • Deep experience in Slurm or Kubernetes for ML workload orchestration
  • Have build high-scale ML data loaders and preparation systems
  • Deeply understand every layer of the ML hardware, storage, and networking stacks
  • Have experience in the NVidia GPU ecosystem

Apply