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Science Engineer Jobs in California (NOW HIRING)

The Senior AI/Data Science Engineer will advance the data strategy and engineering that turns surgical data into curated, research-ready datasets for AI/ML teams building intelligent surgical systems.

New

Agentic AI, AI & Data Science Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Working within an ...

New

Agentic AI, AI & Data Science Engineer

Costa Mesa, CA · On-site

$122K - $147K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Working within an ...

New

Agentic AI, AI & Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Working within an ...

New

Data Science Engineering

Pasadena, CA · On-site

$40.50 - $64/hr

Job Summary The data science engineer will work closely with the PI and his research group to develop computational and data-driven methods supporting research in algebraic geometry, computational ...

As a Flight Science Engineer, you will contribute to a small hypersonic advanced design team, designing current and future Stratolaunch hypersonic vehicles. Your tasking may include conceptual design ...

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Science Engineer information

What engineers make $200,000 a year?

Senior engineers in fields such as software, petroleum, aerospace, and electrical engineering can earn $200,000 or more annually, especially with extensive experience, advanced skills, and often in leadership or specialized roles. High-paying engineering positions typically require advanced degrees, certifications, and a strong track record of project management or technical expertise.

What are the key skills and qualifications needed to thrive as a Science Engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What do science engineers do?

Science engineers apply principles from science and engineering to develop new technologies, improve processes, and solve technical problems. They often work in research and development environments, utilizing tools like laboratory equipment and computer modeling, and may require knowledge of specific scientific disciplines and engineering standards.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or software engineering working in senior or executive roles can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes leadership responsibilities or working in high-paying industries like oil and gas, aerospace, or technology firms.

What jobs can you do with engineering science?

Engineering science graduates can pursue careers in research and development, systems engineering, quality assurance, and technical consulting. They often work in industries such as aerospace, automotive, energy, and manufacturing, utilizing skills in problem-solving, data analysis, and technical design. Certifications and proficiency with tools like CAD software or laboratory equipment can enhance job prospects.

What are science engineers?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are some common challenges Science Engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.
What cities in California are hiring for Science Engineer jobs? Cities in California with the most Science Engineer job openings:
Infographic showing various Science Engineer job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Senior AI Data Science Engineer

Senior AI Data Science Engineer

Intuitive Surgical

Sunnyvale, CA

$124K - $169K/yr

Full-time

Posted 5 days ago

New


Intuitive Surgical rating

9.1

Company rating: 9.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.

Job Description

Primary Function of Position

Advancing embodied AI in robotic surgery requires high-quality data across the robotic platform, the surgical field, and the operating room environment. The Senior AI/Data Science Engineer will advance the data strategy and engineering that turns surgical data into curated, research-ready datasets for AI/ML teams building intelligent surgical systems.

Working within Intuitive's Future Forward research organization, you will make judgment calls about what data matters, drive the quality bar, and build the infrastructure that delivers research-ready datasets. This role calls for someone who is equally comfortable getting hands-on with data and designing systems that scale.

Roles and Responsibilities

  • Architect data models and build pipelines that process and integrate surgical data into well-structured datasets across the robotic platform, surgical field, and operating room environment.
  • Drive the data collection strategy: assess data coverage and plan collection approaches to address evolving research needs.
  • Own data quality frameworks including validation, anomaly detection, completeness metrics, and lineage tracking so datasets are reliable enough to support training of intelligent surgical systems.
  • Drive annotation workflows, including label taxonomy, tooling selection, and quality control, in collaboration with surgeons, clinical researchers, and domain experts.
  • Partner with AI/ML researchers to understand downstream requirements and deliver well-documented datasets ready for model development.
  • Build tooling that makes it easy for researchers to find, access, and work with surgical datasets.
  • Collaborate with surgeons, clinical research teams, robotics engineers, and systems engineers to understand how physical actions and perception translate into data, and ensure relevant signals are captured.
  • Contribute to the broader data strategy for embodied AI, including infrastructure and tooling recommendations aligned with research needs.
Qualifications

Qualifications

  • Master's degree in Computer Science, Data Science, Electrical Engineering, Robotics, or a related technical field with 6+ years of relevant experience, or PhD with 3+ years of relevant experience.
  • Strong proficiency in Python and SQL for data processing, transformation, and analysis, with familiarity across both relational and non-relational data stores.
  • Experience with distributed data processing or workflow orchestration frameworks (e.g., Spark, Airflow, or similar).
  • Track record of designing and building data pipelines for multi-modal datasets (video, time-series, sensor data, structured and unstructured data).
  • Demonstrated ability to set data quality standards and implement validation frameworks.
  • Experience working with multiple concurrent data streams from different sources and modalities.
  • Comfortable working with data that ranges from raw and unstructured to clean and production-grade.
  • Strong analytical and problem-solving skills in ambiguous, research-oriented environments where you shape the approach, not just execute it.
  • Clear communicator who can work across engineering, research, and clinical teams.

Preferred Qualifications

  • Background in healthcare, medical devices, surgical robotics, or other regulated technical domains.
  • Hands-on experience with computer vision data workflows.
  • Understanding of machine learning frameworks and how data quality and structure impact model performance.
  • Prior work interfacing with embedded systems teams to ingest on-device data streams into broader data infrastructure.
  • Practical experience with data annotation tools, workflows, and quality control at scale.
  • Familiarity with ML experiment tracking or data versioning tools (e.g., MLFlow, DVC, Weights & Biases).
  • Working knowledge of cloud data platforms, containerization (Docker, Kubernetes), and storage solutions.
  • Experience with robotics middleware, simulation environments, synthetic data generation, or 3D spatial data tooling.
  • Awareness of data governance in regulated environments (HIPAA, FDA).
Additional Information

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role.

Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

Mandatory Notices

U.S. Export Controls Disclaimer:  In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.

Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).  

For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. 

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.

This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidate’s qualifications, consistent with applicable law.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.

Base Salary Range Region 1:$178,800 - $257,200
Base Salary Range Region 2: $152,000 - $218,600
Shift: Day
Workplace Type: Onsite - This job is fully onsite.


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