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Lead Site Reliability Engineer - Remote
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Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by the United States and its allies to address their most significant and complex challenges…
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Work closely with software engineering mentors to deliver one or more features within the scope of Cloud Services.
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Program Manager - Material Processing
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United States
The Advanced Research and Development (ARD) Division at AeroVironment (AV) is searching for a technical project manager to help lead the development, advancement, and transition of…
Added 3 mins ago
Program Manager - Ceramics
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Facility Services Assistant
U.S. Coast Guard
San Pedro, CA
- $58,827 to $76,476 USD / year
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Clinical Lab Scientist (Ancillary Testing Coordinator)
Veterans Health Administration
New Orleans, LA
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Works closely with Biomedical Engineering to plan updates and installation of new software and servers.
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VH
Accountant
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West Palm Beach, FL
- $65,735 to $103,399 USD / year
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Park Manager
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Agricultural Commodity Grader
Agricultural Marketing Service
Evansville, IN · Cockeysville, MD · Allen Park, MI · College Park, GA · South Bend, IN · Richmond, VA · Winter Haven, FL · Philadelphia, PA · Bronx, NY · San Antonio, TX
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Space Launch Engineer, SSC/SYD 80
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- $90,479 to $139,871 USD / year
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General Engineer
National Cemetery Administration
Washington, DC
- $143,913 to $187,093 USD / year
As a General Engineer/Project Program Manager, you will lead the planning, design, and construction of major national cemetery projects that support the National Cemetery Administration's…
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PRODUCTION CONTROLLER
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Naval Station Complex, San Diego, CA
- $85,307 to $110,905 USD / year
…Production Line Supervisors, Production Control, Product Family Manager, Department Head, and Commander Navy Regional Maintenance Center. | You will use intermediate level Excel skills such…
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Biomedical Equipment Support Specialist
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- $41,341 to $98,530 USD / year
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At least 2 of the following: Corporate/Staff, Engineering, Maintenance, or Outage
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Business Manager - Middletown, CA
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Sr Manager Technical Services - Houston, TX
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Responsible for the supervision, assignment, and successful execution of all technical, chemistry, and engineering related activities in support of the operation and maintenance work…
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Outdoor Recreation Planner
National Park Service
Location Negotiable After Selection
- $74,648 to $97,087 USD / year
…science, natural resource management and conservation, civil engineering, urban planning, or recreation; or, LL.M. if related. You must include…
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Materials Engineer
Nuclear Regulatory Commission
Rockville, MD
- $143,913 to $187,093 USD / year
This position is located in the Office of Nuclear Reactor Regulation, Division of Engineering, Materials Engineering Branch 2.
Added 18 mins ago
PC
ICT Consultant | RCDD Certified | $110K–$160K | Charlotte, NC
Purple Cow Recruiting
Charlotte, NC
- $15,100 to $160,000 USD / year
Continuing education reimbursement with manager pre-approval
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Mechanical Engineer | PE Required | $100K–$130K | Raleigh, NC
Purple Cow Recruiting
Raleigh, NC
- $100,000 to $130,000 USD / year
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Mechanical Engineer | PE Required | $100K–$130K | Indianapolis, IN
Purple Cow Recruiting
Indianapolis, IN, IN
- $100,000 to $130,000 USD / year
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INDUSTRIAL HYGIENIST (Title 32)
Air National Guard Units
East Granby, CT
- $84,260 to $109,545 USD / year
…administer the installation-wide Industrial Hygiene/Bioenvironmental Engineering Program (IH/BEE), which includes occupational health/industrial hygiene, radiation safety, and environmental…
Added 18 mins ago
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Safety & Occupational Health Manager (Safety Administrator)
Bureau of Prisons/Federal Prison System
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Synopsys

R&D Engineering , Staff Engineer

Hillsboro, OR, United States

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. You Are You have spent years building software where the math actually matters, where a poorly tuned parameter or a slow convergence algorithm does not just make a demo sluggish, it blocks a customer from shipping a chip on schedule. You know that optimization is not about throwing gradient descent at a problem and hoping, it is about understanding the physics, the data, and the tradeoffs well enough to know which knobs to turn and when to stop. You are comfortable moving between complex C++ implementations and Python prototyping, between statistical outlier analysis and conversations with field engineers who need you to explain why a model is behaving the way it is. You do not wait for perfect datasets or fully specified requirements. You dig into noisy data, ask the right questions, and build models that hold up under real-world manufacturing conditions. The problems you like are the ones where the solution is not in a textbook. Where you have to combine numerical methods, domain knowledge, and engineering judgment to get something that works. Maybe you are finishing a PhD where you built custom optimization algorithms for physical systems, or you have a few years in industry applying advanced mathematical modeling to real engineering problems. Either way, you bring both theoretical depth and the practical instinct to know when theory needs to bend to reality. At Synopsys, you will work on computational lithography models that enable the next generation of semiconductor manufacturing, and the team you join will expect you to bring both rigor and creativity to problems that have never been solved before. What You'll Be Doing

Design and implement optimization techniques that reduce model calibration runtime without sacrificing accuracy, working directly with large-scale empirical datasets from leading-edge semiconductor processes
Prototype and develop new mathematical models for lithography simulation, translating specifications into production-quality C++ code integrated into the Proteus product line
Calibrate and tune complex non-linear model parameters using statistical analysis, numerical optimization, and domain-specific heuristics
Collaborate with cross-functional teams including product engineering, field support, and customer-facing teams to understand technical requirements and integrate modeling solutions into existing workflows
Analyze outlier data points and develop sampling strategies that improve model robustness and generalization across process variations
Maintain and extend existing computational lithography models, diagnosing performance bottlenecks and correctness issues in a large, mature codebase
Work directly with field engineers and customers to troubleshoot model behavior, gather requirements for new features, and validate solutions against real manufacturing data

The Impact You Will Have

Enable semiconductor manufacturers to bring next-generation nodes to production faster by delivering models that calibrate in hours instead of days
Unlock previously unsolvable lithography challenges by developing optimization techniques that handle higher complexity and tighter tolerances than existing methods
Improve model accuracy across a wider range of manufacturing conditions, reducing costly silicon respins and accelerating time to market for customers
Strengthen Synopsys' competitive position in computational lithography by contributing novel algorithms and methods that differentiate the Proteus platform
Reduce customer escalations and support load by building models that are more robust, interpretable, and easier to tune in the field
Influence product roadmap and strategy by identifying technical gaps and opportunities based on direct customer interaction and data analysis
Mentor and raise the technical bar for the broader modeling team by sharing deep expertise in optimization, numerical methods, and software engineering best practices

What You'll Need

PhD in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or related field strongly preferred (recent PhD graduates encouraged to apply; PhD with 1-2 years of industry experience ideal), OR MS in a related field with approximately 5 years of directly relevant industry experience in computational modeling, optimization, or numerical methods
Strong programming skills in C++ for performance-critical numerical software and Python for prototyping and data analysis
Deep background in physical modeling, statistical analysis, and optimization methods, with hands-on experience applying these techniques to real-world problems
Solid foundation in numerical computation, including experience with algorithms for solving non-linear systems, parameter fitting, and convergence analysis
Demonstrated ability to analyze complex datasets, identify patterns and outliers, and translate findings into actionable model improvements
Experience in computational lithography, optical modeling, or image processing is a strong plus
Background working on large, complex software projects with multiple contributors and long product lifecycles is a strong plus

Who You Are

You can take a vague customer complaint about model accuracy, dig into the data, isolate the root cause, and propose a fix that addresses the underlying issue without breaking existing workflows
You know when to optimize for speed and when to optimize for clarity, and you can defend that tradeoff to a senior engineer or a product manager without hand-waving
You are comfortable presenting technical results to a mixed audience, whether that is walking a field engineer through a calibration workflow or explaining a convergence failure to a PhD researcher
You do not get stuck when the data is messy or the requirements are incomplete, you make progress with what you have and course-correct as you learn more
You care about the craft of writing maintainable code, not just code that works today, and you leave the codebase better than you found it
You ask questions that cut to the core of a problem, and you listen carefully to the answers, especially when they come from people with different expertise than yours

The Team You'll Be Part Of You will join the Proteus R&D team within the EDA Group, focused on computational lithography modeling for leading-edge semiconductor manufacturing. This is a collaborative, technically deep team working on problems at the intersection of physics, mathematics, and high-performance software engineering. The team works closely with cross-functional groups including product engineering, field support, and customers to deliver modeling solutions that enable next-generation chip manufacturing. You will have the opportunity to learn deeply within specific modeling topics while gaining broad exposure to new technologies across the computational lithography domain. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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