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Biomolecular Engineering Jobs in California (NOW HIRING)

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How much do biomolecular engineering jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for biomolecular engineering in California is $31.14, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $37.50 per hour, depending on experience, location, and employer.

What is a biomolecular engineering?

A Biomolecular Engineering job involves applying principles of biology, chemistry, and engineering to design and develop biomolecular systems, such as proteins, nucleic acids, and cellular processes. Professionals in this field work in pharmaceuticals, biotechnology, and healthcare, focusing on drug development, genetic engineering, and synthetic biology. They may also develop innovative therapeutics, biofuels, or environmentally friendly materials. Strong skills in molecular biology, bioinformatics, and laboratory techniques are essential for success in this career.

What does a biomolecular engineer do?

Daily responsibilities in Biomolecular Engineering often include designing and conducting experiments, analyzing biological samples, interpreting data, and optimizing processes for the production or modification of biomolecules. Collaboration with multidisciplinary teams—such as chemists, biologists, and process engineers—is frequent to ensure project goals are met efficiently and scientifically. Professionals in this role may also be involved in drafting technical reports, maintaining complex laboratory equipment, and participating in meetings to share progress or troubleshoot challenges. This hands-on, research-driven environment is ideal for those who enjoy both the technical and collaborative aspects of scientific innovation.

What skills and qualifications are needed to thrive in biomolecular engineering?

To excel in Biomolecular Engineering, you need a solid background in biochemistry, molecular biology, and chemical engineering, typically with at least a bachelor's or master's degree in a related field. Familiarity with laboratory automation tools, molecular modeling software, and industry-standard analytical instrumentation like HPLC or mass spectrometry is highly valued. Strong problem-solving abilities, teamwork, and effective communication help you collaborate and convey complex findings to both technical and non-technical colleagues. These combined skills enable you to design, analyze, and optimize biomolecular processes that meet scientific and commercial objectives.

Is biomolecular engineering hard?

Biomolecular engineering can be challenging due to its interdisciplinary nature, requiring knowledge of biology, chemistry, and engineering principles. Success often depends on strong problem-solving skills, laboratory experience, and understanding of complex biological systems, making it a demanding but rewarding field for those with a solid technical background.

What can you do with biomolecular engineering?

Biomolecular engineers develop and optimize processes involving biological molecules, such as proteins, DNA, and enzymes, for applications in medicine, agriculture, and industry. They work on designing biotechnological products, improving drug development, and creating sustainable solutions using tools like genetic engineering and bioprocessing techniques.

What are popular job titles related to Biomolecular Engineering jobs in California?

For Biomolecular Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Biomolecular Engineering jobs in California look for?

The top searched job categories for Biomolecular Engineering jobs in California are:

What cities in California are hiring for Biomolecular Engineering jobs?

Cities in California with the most Biomolecular Engineering job openings:

Biomolecular Engineering jobs near you
Infographic showing various Biomolecular Engineering job openings in California as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $64,765 per year, or $31.1 per hour.

Research Scientist, Fundamental Generative AI - New College Grad 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted yesterday

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is searching for a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research. We strive for research that pushes boundaries and builds the next generation of generative models but also has an impact on the world. We are interested in advancing generative AI methods for biomolecular design, including small molecule, protein, and RNA design, as well as other scientific applications (i.e., GenAI4Science). You are expected to have a strong mathematical foundation and be capable of analyzing and developing novel models. The position will focus on fundamental research, with the freedom and bandwidth to conduct ground-breaking research. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning and AI for science. You will be empowered to make contributions that create real-world impact.
What you'll be doing:
  • Research, design, and implement novel, large-scale generative AI methods.
  • Publish original research.
  • Collaborate with team members, research teams, as well as product teams.
  • Speak at conferences and events.
  • Transfer technology to product groups.

What we need to see:
  • Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience)
  • Excellent knowledge of the theory and practice of generative AI.
  • Experience in building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data.
  • Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA).
  • Knowledge of deep learning frameworks, such as PyTorch.
  • Outstanding research track record.
  • Excellent communication skills.

We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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