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Scientific Computing Jobs in California (NOW HIRING)

Data Science Engineering

Pasadena, CA · On-site

$40.50 - $64/hr

Develop computational and data-driven methods supporting research in algebraic geometry, computational algebra, and related areas of mathematics and scientific computing * Contribute to the design ...

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

Deep understanding of scientific computing, numerical methods, and computational modeling * Proven ability to translate scientific problems into machine learning approaches * Experience building ...

Principal DevOps Engineer

El Segundo, CA · On-site

$56.25 - $77/hr

... and performance for scientific computing, including Ansys, STAR-CCM+, and Abaqus, covering licensing, environment setup, job orchestration, and results infrastructure. • Triage inbound ...

Expert knowledge of a scientific computing language (such as R or Python) and SQL * Theoretical and applied expertise in statistics, machine learning and experimental design * Excellent written and ...

Systems Administrator V

San Diego, CA · On-site

$116K - $208K/yr

We are seeking an ambitious Scientific Computing Administrator for the GA Energy Group to support the physicists and researchers at the DIII-D National Fusion Facility. General Atomics is pushing the ...

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Scientific Computing information

See California salary details

$13

$31

$51

How much do scientific computing jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for scientific computing in California is $31.07, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.62 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Scientific Computing?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in the Scientific Computing position, and why are they important?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What is a Scientific Computing job?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What are the most commonly searched types of Scientific Computing jobs in California? The most popular types of Scientific Computing jobs in California are:
What are popular job titles related to Scientific Computing jobs in California? For Scientific Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Scientific Computing jobs in California look for? The top searched job categories for Scientific Computing jobs in California are:
What cities in California are hiring for Scientific Computing jobs? Cities in California with the most Scientific Computing job openings:
Infographic showing various Scientific Computing job openings in California as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $64,616 per year, or $31.1 per hour.

Field Applications Engineer (Integrated Photonics & AI) | Boston, Hybrid

C&D Talent Advisory

Santa Clara, CA

$150K - $250K/yr

Full-time

Posted 7 days ago


Job description

About the Client

Our Client is building a new generation of AI systems designed to reason with the rigor of the scientific method. By combining deep learning, formal logic, and physics-based modeling, the platform enables engineers and researchers to accelerate complex semiconductor and photonic development workflows through verifiable and interpretable AI.

The company's mission is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030. Operating at the intersection of scientific computing, artificial intelligence, and advanced engineering, Our Client is building a team of exceptional technical experts to help shape the future of hardware innovation.

  • Location: Boston, USA (Hybrid)
  • Employment Type: Full-Time
  • Level: Mid-Senior Level
  • Compensation: $150,000 – $250,000 + Equity
  • Relocation Support: Available for US-based candidates moving to Boston; Visa sponsorship and transfers are available for strong candidates in the US.
The Opportunity

Our Client is seeking a Field Applications Engineer with deep expertise in Integrated Photonics to help enterprise customers solve complex engineering challenges through AI-assisted design and workflow automation.

This is not a traditional pre-sales role.

You will operate at the intersection of photonic engineering, scientific AI, EDA tooling, and customer deployment. Working directly with PIC designers, photonic foundries, and EDA vendors, you will transform real-world engineering bottlenecks into deployable AI-assisted workflows that improve design quality, manufacturability, and development speed.

This position offers a exciting opportunity to become a technical leader in the emerging field of AI-assisted photonic engineering.

Key Responsibilities
  • Design and deploy AI-assisted workflows for photonic design, verification, simulation, and yield optimization
  • Translate complex engineering processes into structured, physics-grounded workflows
  • Identify bottlenecks across photonic development lifecycles and develop scalable solutions
  • Collaborate directly with PIC designers, foundries, and EDA vendors
  • Integrate solutions into existing EDA environments, simulation platforms, and PDK ecosystems
  • Develop workflows supporting variability analysis, compact modeling, layout-aware optimization, and measurement interpretation
  • Support customers throughout deployment and adoption processes
  • Provide technical leadership and trusted guidance to engineering stakeholders
  • Feed customer insights back into product development and platform capabilities
  • Contribute to workflow architecture, deployment best practices, and future platform direction
Requirements
  • MSc or PhD in Integrated Photonics, Electrical Engineering, Telecommunications Engineering, Applied Physics, or a related discipline
  • 5+ years of hands-on experience in integrated photonic product development
  • Proven experience bringing photonic technologies from development through deployment or commercialization
  • Strong expertise with photonic simulation and EDA environments such as; COMSOL, Ansys, RSoft, Cadence Virtuoso, Synopsys OptoCompiler, Luceda IPKISS, Similar photonic design platforms
  • Experience designing advanced photonic components including; High-speed modulators, Photodiodes, Optical interconnects, Silicon photonics devices
  • Experience working directly with photonic foundries and EDA vendors
  • Knowledge of multi-objective optimization and co-design methodologies
  • Excellent communication skills with both technical and business stakeholders
Preferred Qualifications
  • Experience using modern AI technologies including; LLMs, APIs, Agentic systems, Workflow orchestration frameworks
  • Python programming for scientific computing and automation
  • Experience with cloud computing or HPC environments
  • Exposure to enterprise software deployment
  • Experience collaborating with R&D organizations
  • Prior Field Applications Engineer, Field Scientist, Solutions Engineer, or Customer Success Engineer experience within photonics or semiconductors
What We Offer
  • Competitive compensation package
  • Equity participation through stock options
  • Access to cutting-edge AI, photonics, and semiconductor technologies
  • Direct collaboration with leading researchers and industry experts
  • Conference participation and professional development opportunities
  • Exposure to advanced scientific computing and AI infrastructure
  • High-impact technical work with real-world engineering applications
  • Opportunity to shape a rapidly growing technical function

If you are passionate about integrated photonics, scientific computing, and applying AI to solve real engineering challenges, we would love to hear from you...