Jobs in the United States

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Added 2 mins ago
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Software Engineer (AI Agents)
Akur8
New York City, NY
- $170,000 to $190,000 USD / year
…classical ML expertise - we need someone on the frontier of applied…
Added 5 mins ago
Principal Engineer Team Lead, Behavior Safety & Metrics
Jobgether
Remote, United States
…applications and next steps. Our partner is looking for a Principal Engineer Team Lead, Behavior Safety & Metrics based in the United…
Added 23 mins ago
Senior Software Engineer, ML Performance, GenAI, DeepMind
DeepMind
Mountain View, CA
5 years of experience in software development, systems programming, or applied ML engineering or equivalent education credit (e.g., internships, student research, pre-graduate working…
Added 24 mins ago
Silicon Photonics Design Engineer
Advanced Micro Devices, Inc.
FISHKILL, NY
Added 27 mins ago
Senior Software Engineer, Prime Video Personalization and Discovery
Amazon
New York, NY
Prime Video Personalization and Discovery (PVPD) is seeking a Senior Software Development Engineer to lead Personalization and Discovery customer experiences. This role will work across…
Added 28 mins ago
Model Validation 2nd LOD Sr. Lead Analyst
Citigroup
New York, NY
Added 28 mins ago
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Data Scientist & Engineer
NYU Langone Medical Center
New York, NY
- $84,577.92 to $110,250 USD / year
We have an exciting opportunity to join our team as a Data Science Analyst / Engineer.
Added 2 hours ago
GPS Engineer
Applied Materials India Private Limited
Santa Clara, CA
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 3 hours ago
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Machine Learning Engineer Intern - Summer 2027
PayPal
San Jose, CA
- $50 to $59 USD / hour
Machine Learning Engineer Interns at PayPal help develop innovative AI and machine learning solutions that support products and services used by millions of people every day. Working across…
Added 3 hours ago
GPS Engineer
Applied Materials
Santa Clara, CA · Santa Clara
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 5 hours ago
FIB-TEM Automation Engineer
Micron Technology, Inc.
Boise, ID
As a FIB-TEM automation engineer at DTG TEM lab, you will contribute to the development and implementation of automated FIB-TEM workflows. You will collaborate closely with other DRAM…
Added 5 hours ago
Staff Machine Learning Engineer（Risk Intelligence/AI Agent）
OKX
San Jose, CA
Significant professional experience in machine learning engineering, applied data science, or a closely related field, with a strong record of taking models from prototype to production.…
Added 6 hours ago
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Elasticsearch Engineer *No C2C*
TEKsystems
Lincoln, MA
- $120,000 to $250,000 USD / year
Knowledge of AI/ML concepts as applied to security analytics such as anomaly detection, behavioral baselining, or threat scoring
Added 6 hours ago
SDE II, Perception and SLAM, Autonomous Mobility
Amazon
North Reading, MA
…robot. We are looking for an enthusiastic Software Development Engineer to join our perception, localization, and machine learning team. You will be part of an exceptional group of…
Added 6 hours ago
Senior Ellucian Technical and Integrations Engineer
State of Massachusetts
Boston, MA
Added 6 hours ago
Machine Perception (MP) Engineer – Level 6
Northrop Grumman
Gilbert, AZ
…spirit to our collaborative teams. As a Machine Perception (MP) Engineer – Level 6 located in Dulles, VA, or Gilbert, AZ , you’ll be a linchpin in missions of paramount importance, defining…
Added 6 hours ago
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Founding Full-Stack Software Engineer Who Has Applied for US Green Card / Visa
OpenGreenCard
San Francisco, CA
- $80,000 to $140,000 USD / year
Have you applied for a green card or visa yourself and thought that it could be a lot easier and faster?
Added 7 hours ago
AI Research Engineer
The Path
San Francisco, CA
LLM and Applied ML Depth. Demonstrates strong experience with large language models, including fine-tuning, training data design, and model selection. Knows how to move core metrics on…
Added 7 hours ago
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Founding AI Engineer
Paratus
San Francisco, CA
- $170,000 to $210,000 USD / year
Paratus is building the applied AI platform that keeps military units ready for their most urgent missions.
Added 7 hours ago
VT
Client Engineer
Varsity Technologies
San Francisco, CA
- $75,000 to $90,000 USD / year
Varsity, a company under Treeline, is looking for a Client Engineer to handle complex technical issues across both remote and onsite client environments. Based in the Bay area, this is a…
Added 7 hours ago
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Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
Senior Software Engineer (Backend or Full-Stack)
Added 7 hours ago
Senior Distributed Systems Engineer
OpenDataLabs
Remote, United States
We’re looking for a Distributed Systems Engineer to help design and build the scalable infrastructure powering data access and compute in the Vana network.
Added 7 hours ago
Machine Learning Engineer - Agentic solutions that move the music industry
Discovery
Remote, United States
…should. At the core of this? Clean data. Smart automation. And applied machine…
Added 7 hours ago
Founding AI Engineer
Daylight Infrastructure
San Francisco, CA
Sector: Applied AI / Software / AI-Native Services / Energy Infrastructure / Climate Tech / Industrials / Financial Software / Critical Industries
Added 7 hours ago
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Founding Engineer
Tenzo AI
San Francisco, CA
- $150,000 to $225,000 USD / year
As a Founding Software Engineer at Tenzo AI, you'll play a pivotal role in shaping the future of our agents. You will be tasked with building foundational parts of our technology and your…

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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