Jobs Private USA → Technology → Data, analytics and AI → Physics Informed Machine Learning Scientist

Physics Informed Machine Learning Scientist

ASML · San Diego, CA · posted 12 days ago

In short: Physics Informed Machine Learning Scientist at ASML in San Diego, CA, posted 12 days ago.

By AtiveSite · Published 07/11/2026 · Updated 08/11/2026 · Every figure is linked to its source below.

ASMLemployer

San Diego, CAlocation

Data, analytics and AIsub-niche

12 days agoposted

🆕 Work guides: live jobs + official data, law, permits, pay and cost of living. United States · California · San Diego County · San Diego · all 145 cities + map → · all 58 counties → · California rankings · Silicon Valley special · San Francisco special · Los Angeles special · all 51 states → · 200 largest companies · 240 best job niches · Federal jobs in California

The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-10-27

Employer	ASML
Location	San Diego, California
Field	Technology › Data, analytics and AI
Level	Senior Level
Source category	Data and Analytics
Posted	2026-10-27 (12 days ago)
Work arrangement	On-site at the location listed
Pay	Not published in the source listing

Job description

ASML US, LP brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Wilton, CT, Chandler, AZ, San Jose, CA and San Diego, CA.

Job Mission

Join a pioneering research team developing next-generation lithography light source technologies. Our laser-produced plasma (LPP) system integrates high-power lasers, advanced optics, plasma-based EUV generation, sensing, and algorithm-driven control. The Physics Informed Machine Learning Scientist works on the Virtual Source team building integrated master-model frameworks to capture the tightly coupled, multi-physics behavior of the system-enabling system-level optimization, reducing uncertainty in future source configurations, and guiding early technology decisions. This role operates at the intersection of science, engineering, and modeling to define future source architectures. You will contribute by building data pipelines, developing data analysis and ML methodologies, integrating and advancing models, and defining validation experiments on test benches and research systems to anchor Virtual Source.

Key Responsibilities:

Establish a scalable data management framework spanning legacy and new datasets from test benches and source prototypes, ensuring data quality, accessibility, and structured readiness for seamless integration into ML workflows.
Develop physics-informed machine learning models and scientific simulations to enable system-level tradeoff analysis and drive the definition and optimization of lithography source technology configurations.
Adapt and integrate existing physics-based models into a master virtual model, and establish the necessary infrastructure for deployment and maintenance.
Propose experimental anchoring studies, analyze test results, reduce model uncertainty through correlation building, and extract actionable knowledge from submodule- to full-system-level analysis.
Provide input to technology roadmaps, identify de-risking activities and key scientific learning objectives, and contribute to experimental design to establish design guidelines, performance requirements, and procedures for product teams.
Troubleshoot code and algorithms required for source operation, data streaming, storage, and queries.
Document learnings and communicate knowledge to engineering and product development teams to guide product improvement and the release of new product nodes.
Work independently and collaboratively to deliver on stated objectives, whether pursuing new knowledge, demonstrating new capabilities, or characterizing existing performance.
Perform other duties as assigned or required.

Qualifications

Ph.D. with a minimum of 3+ years of experience or a Master's degree with at least 6+ years of experience in an analytical field such as mathematics, physics, or engineering, with extensive experience in physics-informed machine learning and model integration into scalable master models.
Experience solving complex, open-ended modeling problems using optimization and deep learning methodologies, with strong expertise in data management and building scalable data and training pipelines for end-to-end model development and training.
Strong software development skills in Python, with experience in deep learning frameworks (e.g. PyTorch or JAX); proficiency in C/C++, and Matlab is a plus. Experience with database tools, automation frameworks, and experimental tracking platforms (e.g. MLflow) for managing end to end ML lifecycle.
Experience working in cloud and development environments such as Azure Kubernetes Service (AKS), Google Distributed Cloud Edge (GDCE), Apache Spark, Azure Databricks, and related technologies is a plus.

Skills

Ability to clearly and logically communicate ideas and knowledge to various audiences.
Demonstrated ability to work effectively as a part of a team and lead investigation and research efforts involving multiple stakeholders and constraints.
Proven ability to build trust and credibility, enabling effective leadership through influence.
The successful candidate will not only have excelled in their technical field, but will have demonstrated inter-personal and communications strengths.
Deep understanding of scientific research methods and strong curiosity.

Other information

PHYSICAL DEMANDS AND WORK ENVIRONMENT

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch.
The employee is occasionally required to move around the campus including working while fully gowned in a clean room environment.
The employee may occasionally lift and/or move up to 25 pounds.
The employee may be required to travel based on business needs.
Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
The environment generally is moderate in temperature and noise level.
Extended periods of time in a clean room environment should be expected. Requires gowning in Class 10K gowning protocol.
May need to work in labs with equipment that emit high-pitched noise.
May spend extended periods of time at a computer workstation.

The current base annual salary range for this role is currently:
$135,375-198,550

Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members.

The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company's 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US .

All new ASML jobs have a minimum application deadline of 10 days.

This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

Inclusion and diversity

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.

Need to know more about applying for a job at ASML? Read our frequently asked questions .

Request an Accommodation

ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process.

Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at ASML Jobs in California Jobs in San Diego, CA San Diego city guide California state guide San Diego County economy

View this job and apply on The Muse →

You apply on The Muse or on the employer's page; AtiveSite does not receive or process applications and is not affiliated with The Muse. The description above is shown as the source published it.

About the role

This is a Senior Level role in the Technology field (Data, analytics and AI) at ASML. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.

Does the pay work here? (estimate)

Gross salary a year Filing State income tax rate %

Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.

How to prepare and behave

This is editorial guidance, not information from the employer.

Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
Research the employer before the interview: what it does, who its customers are and recent news; prepare two or three questions about the work.
Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
Be honest about gaps; say what you did to learn and how fast you can close them.
Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
When pay comes up, know the market range for the occupation and your lowest acceptable offer before you answer; ask for the full package in writing.
Send a short thank-you message within a day, mentioning one thing you discussed.
Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.

Know your rights as a candidate and an employee:

The city

The job is in San Diego, CA. Below is what the official statistics say about living and working there.

How San Diego compares. Among the 145 largest places in California, San Diego is #2 by population, #17 for long commutes (#1 = fewest), #116 for homeownership (#1 = highest), #39 for college degrees (#1 = most). Its county, San Diego County, is #8 of 58 counties for average pay ($82,854).

The place in numbers

San Diego has 1,389,526 residents (ACS 2020–2024), about 3.5% of the population of California. It covers 326 square miles of land, which works out to roughly 4,261 people per square mile. The median age is 36.2, 4% younger than the state median (36.2 against 37.9).

Housing

The median gross rent is $2,313 a month (rent plus utilities), 14% above the state median ($2,313 against $2,036). Over a year that is 25.7% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $906,700, which is 8.4 times the median household income ($108,077); a ratio above 5 usually means buying is out of reach without savings or a second income. 47.3% of households own their home, 15% below the state average (47.3% against 55.9%).

Work and pay

The San Diego-Chula Vista-Carlsbad, CA metropolitan area has 1,538,060 jobs in the BLS wage survey, and the median pay across all occupations is $58,690 a year, 15% above the national median ($58,690 against $50,980). The biggest occupation groups are food preparation and serving related (161,910 jobs, median $38,840); office and administrative support (155,940 jobs, median $52,940); sales and related (124,550 jobs, median $44,010). The area is most specialised in life, physical, and social science (1.7 times) and architecture and engineering (1.5 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($136,440) and computer and mathematical ($129,520). In 2026M09 the unemployment rate of San Diego County was 4.7%. 65.1% of residents aged 16 and over are in the labour force. The city lies in San Diego County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 62.6% drive alone, 2.7% use public transit, 3.5% walk, 21.2% work from home. 9.5% of workers commute 45 minutes or more, 51% below the state average (9.5% against 19.4%).

People and education

51.0% of adults aged 25 and over hold a bachelor's degree or higher, 38% above the state share (51.0% against 37.1%). 25.1% of residents were born outside the United States, 7% below the state share (25.1% against 27.0%). The poverty rate is 11.0%, 8% below the state rate (11.0% against 12.0%).

Climate

The warmest month is Aug, averaging 77°F (24.9°C), and the coolest is Dec at 51°F (10.7°C). About 320 mm (13 inches) of precipitation falls in a year; Feb is the wettest month (70 mm) and Jun the driest (2 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: El Cajon (10 miles, rent 20% lower); Chula Vista (15 miles, rent 4% lower); San Marcos (22 miles, similar rent); Escondido (22 miles, rent 12% lower). Rent differences are against San Diego; use the Compare tab to put any two cities side by side.

Full guide to San Diego →California guide All jobs in San Diego

Official links for San Diego

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

CITY Official statistics Source: U.S. Census Bureau, American Community Survey 2020–2024 5-year (via Census Reporter) · Data: ACS 2020–2024

Places within 50 miles (straight line) of San Diego, CA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.

Sort:

Place ⇅	Distance from the job city ⇅	Median rent ⇅	Median home value ⇅	Median household income ⇅	Commute 45+ min ⇅	Rent as % of occupation pay ⇅	Open jobs there ⇅
San Diego, CA	0 mi	$2,313	$906,700	$108,077	9.5%	n/a	Jobs
El Cajon, CA	10 mi	$1,856	$681,700	$67,511	10.7%	n/a	Jobs
Chula Vista, CA	15 mi	$2,229	$758,700	$108,032	17.6%	n/a	Jobs
San Marcos, CA	22 mi	$2,348	$868,000	$109,377	14.0%	n/a	—
Escondido, CA	22 mi	$2,046	$714,500	$91,967	16.8%	n/a	Jobs
Carlsbad, CA	23 mi	$2,808	$1,257,000	$142,748	16.6%	n/a	Jobs
Vista, CA	27 mi	$2,249	$762,400	$94,975	14.4%	n/a	—
Oceanside, CA	30 mi	$2,303	$770,300	$97,737	18.3%	n/a	—
Temecula, CA	47 mi	$2,347	$679,700	$121,063	35.1%	n/a	—

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)

Distances

CITY Calculation (straight line) Source: U.S. Census Bureau Gazetteer (coordinates) · Data: 2024

How far San Diego, CA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.

Sort:

From ⇅	Straight-line distance (miles) ⇅	Population of that city ⇅
San Diego, CA	0 mi	1,389,526
Los Angeles, CA	111 mi	3,857,263
Phoenix, AZ	296 mi	1,642,323
San Jose, CA	407 mi	990,138
San Francisco, CA	475 mi	830,235
Denver, CO	833 mi	718,877
Seattle, WA	1,059 mi	754,195
San Antonio, TX	1,123 mi	1,479,835
Oklahoma City, OK	1,135 mi	697,125
Fort Worth, TX	1,148 mi	963,194
Austin, TX	1,153 mi	979,539
Dallas, TX	1,181 mi	1,307,930
Houston, TX	1,298 mi	2,328,253
Chicago, IL	1,724 mi	2,711,226
Indianapolis, IN	1,782 mi	885,860
Columbus, OH	1,950 mi	914,802
Charlotte, NC	2,074 mi	903,844
Jacksonville, FL	2,085 mi	977,670
Philadelphia, PA	2,365 mi	1,579,706
New York, NY	2,427 mi	8,483,844

Nearby cities with open jobs (within 120 miles)

Sort:

City ⇅	Straight-line distance ⇅	Open jobs ⇅
El Cajon, CA	10 mi	1
Chula Vista, CA	15 mi	2
Carlsbad, CA	23 mi	3
Newport Beach, CA	69 mi	1
Irvine, CA	70 mi	21
Costa Mesa, CA	74 mi	10
Anaheim, CA	80 mi	50
Compton, CA	98 mi	3
Huntington Park, CA	102 mi	2
El Segundo, CA	106 mi	102
Culver City, CA	110 mi	6
Los Angeles, CA	111 mi	494
Beverly Hills, CA	114 mi	2
Burbank, CA	117 mi	6

The employer

ASML is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

Other open jobs at ASML

Senior CS Technical Support Engineer

ASML · San Diego, CA · Senior Level · Cloud, IT and infrastructure · posted yesterday

Internship- Computational imaging and metrology summer

ASML · San Jose, CA · Internship · Pharmacy, lab and imaging · posted yesterday

Mechanical Designer for SEM

ASML · San Jose, CA · Senior Level · Design and UX · posted yesterday

Senior Technical Account Manager- Key US Customer

ASML · Austin, TX · Senior Level · Account management · posted yesterday

Material Handler 3

ASML · San Diego, CA · Mid Level · Business operations and strategy · posted yesterday

Internship - Application Software QA Engineer

ASML · San Jose, CA · Internship · Software engineering · posted 2 days ago

Internship - Machine Learning and image-based EUV system setup

ASML · San Diego, CA · Internship · Data, analytics and AI · posted 3 days ago

Project Management Officer

ASML · San Diego, CA · Senior Level · Project management · posted 3 days ago

Similar jobs

Same sub-niche: Data, analytics and AI

Sr Software Engineer - Streaming Data Platform

Uber · San Francisco, CA · Senior Level · Data, analytics and AI · posted yesterday

Web Optimization Analyst

Spectrum · Los Angeles, CA · Mid Level · Data, analytics and AI · posted yesterday

Research Scientist - Salesforce AI Research

Salesforce · Palo Alto, CA · Entry Level · Data, analytics and AI · posted yesterday

Senior Lead Software Engineer- AI/ML Training Infrastructure

JPMorgan Chase · Palo Alto, CA · Senior Level · Data, analytics and AI · posted yesterday

Sr. Software Engineer, AI Infrastructure (Starshield)

SpaceX · El Segundo, CA · Senior Level · Data, analytics and AI · posted yesterday

Sr. Software Engineer, AI Infrastructure (Starshield)

SpaceX · El Segundo, CA · Senior Level · Data, analytics and AI · posted yesterday

Sr. Software Engineer, AI Infrastructure (Starshield)

SpaceX · El Segundo, CA · Senior Level · Data, analytics and AI · posted yesterday

Sr. Software Engineer, AI Infrastructure (Starshield)

SpaceX · El Segundo, CA · Senior Level · Data, analytics and AI · posted yesterday

More jobs in San Diego, CA

Supervisor, Community Solutions

Spectrum · San Diego, CA · Senior Level · Legal and compliance · posted yesterday

Community Solutions Customer Service Representative I

Spectrum · San Diego, CA · Mid Level · Customer success and service · posted yesterday

Client Executive III (RapidScale) (West)

Spectrum · San Diego, CA · Senior Level · Account management · posted yesterday

Inbound Sales Representative

Spectrum · San Diego, CA · Senior Level · Sales and business development · posted yesterday

Outside Sales Representative

Spectrum · San Diego, CA · Mid Level · Sales and business development · posted yesterday

Outside Sales Representative

Spectrum · San Diego, CA · Mid Level · Sales and business development · posted yesterday

All Data, analytics and AI jobs → · All Technology sub-niches →

FAQ

What is the Physics Informed Machine Learning Scientist job at ASML?

A senior level role in technology (data, analytics and ai) listed 12 days ago. The full description is on this page and on The Muse.

Where is this job?

San Diego, CA.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in San Diego is $2,313 a month and median household income $108,077 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-10-27 (12 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in California.

Sources and terms

Job data: The Muse public API (listing dated 2026-10-27). The job disappears from this site when it disappears from the source.
Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

Jobs in other countries

🇺🇸 United States 🇩🇪 Germany 🇸🇪 Sweden 🇸🇬 Singapore