ZipRecruiter

Log In

1

Opc Modeling Engineer Jobs in New Rochelle, NY (NOW HIRING)

Thea Energy

Senior Plasma Control Engineer

Kearny, NJ · On-site

$120K - $160K/yr

You will also contribute to subsystem digital twins and data pipelines that enable model ... MDSplus, EPICS, HDF5, InfluxDB, OPC UA, Kafka or ZeroMQ * Dev workflows: Git, Docker, MLflow, CI ...

Thea Energy

Senior Plasma Control Engineer

Kearny, NJ · On-site

$120K - $160K/yr

You will also contribute to subsystem digital twins and data pipelines that enable model ... MDSplus, EPICS, HDF5, InfluxDB, OPC UA, Kafka or ZeroMQ * Dev workflows: Git, Docker, MLflow, CI ...

Thea Energy

Embedded Systems Engineer

Kearny, NJ · On-site

$110K - $150K/yr

Proficiency with simulation tools such as Simulink, MATLAB, or PLECS for modeling PSU behavior ... OPC UA, Modbus TCP, EtherCAT, CANopen Company Benefits: * Salary range $110,000-$150,000

Thea Energy

Embedded Systems Engineer

Kearny, NJ · On-site

$110K - $150K/yr

Proficiency with simulation tools such as Simulink, MATLAB, or PLECS for modeling PSU behavior ... OPC UA, Modbus TCP, EtherCAT, CANopen Company Benefits: * Salary range $110,000-$150,000

BC Forward

IT Specialist Junior

Manhattan, NY · On-site

$40 - $50/hr

TSR operates with a global delivery model, leveraging specialized teams to support enterprise ... Configure and support PI Interfaces including PI API, OPC DA/UA, RDBMS, PI to PI, and PI DNP3.

New

All JobsOpc Modeling Engineer JobsOpc Modeling Engineer Jobs in New Rochelle, NY

Opc Modeling Engineer information

See New Rochelle, NY salary details

$40.1K

$104.7K

$141.5K

How much do opc modeling engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for opc modeling engineer in New Rochelle, NY is $104,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $119,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an OPC Modeling Engineer, and why are they important?

To thrive as an OPC Modeling Engineer, you need a strong background in semiconductor physics, computational modeling, and a relevant engineering or science degree. Expertise in OPC software tools like Mentor Calibre or Synopsys, along with experience in scripting languages such as Python or Perl, is typically required. Analytical thinking, attention to detail, and effective cross-functional communication are vital soft skills for this role. These skills ensure precise photolithography models, efficient design-to-manufacturing processes, and seamless collaboration with design and fabrication teams.

What is the difference between Opc Modeling Engineer vs PCB Design Engineer?

AspectOpc Modeling EngineerPCB Design Engineer
Required CredentialsBachelor's in Electrical Engineering or related, knowledge of OPC standardsBachelor's in Electrical Engineering, Electronics, or PCB Design certifications
Work EnvironmentSemiconductor fabrication, EDA tool developmentElectronics manufacturing, product development
Industry UsageSemiconductor industry, IC manufacturingConsumer electronics, industrial equipment
Common Search/ComparisonYesNo

Opc Modeling Engineers focus on creating models for optical proximity correction in semiconductor manufacturing, working closely with EDA tools and chip fabrication. PCB Design Engineers develop printed circuit boards for electronic devices, emphasizing layout and electrical integrity. While both roles require electrical engineering knowledge, they serve different stages of electronic product development and are used in distinct industry segments.

What are some common challenges faced by an OPC Modeling Engineer when working with new process nodes?

OPC Modeling Engineers often encounter challenges such as adapting to the increasing complexity of advanced process nodes, where feature sizes become smaller and patterning requirements grow more demanding. Accurate model calibration becomes more time-consuming, requiring close collaboration with lithography, process, and design teams. Additionally, integrating new materials and technologies can introduce unforeseen variables, making continuous learning and flexible problem-solving essential for success in this role.

What is an OPC Modeling Engineer?

OPC Modeling Engineers are specialists who develop, calibrate, and maintain optical proximity correction (OPC) models used in semiconductor manufacturing. These engineers work to improve the fidelity of photolithography processes by simulating and correcting distortions that occur when transferring circuit patterns onto silicon wafers. Their expertise helps ensure that microchips are fabricated with high precision and yield, enabling the continued advancement of smaller and more complex semiconductor devices. OPC Modeling Engineers typically collaborate with process engineers, software developers, and design teams to optimize and implement OPC strategies.
What are popular job titles related to Opc Modeling Engineer jobs in New Rochelle, NY? For Opc Modeling Engineer jobs in New Rochelle, NY, the most frequently searched job titles are:
What cities near New Rochelle, NY are hiring for Opc Modeling Engineer jobs? Cities near New Rochelle, NY with the most Opc Modeling Engineer job openings:
Opc Modeling Engineer jobs near you

Senior Plasma Control Engineer

Thea Energy

Kearny, NJ • On-site

$120K - $160K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 25 days ago

Job description

About Thea Energy:
Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future.
Position Overview:
Thea Energy is seeking a Sr. Plasma Control Engineer to develop and deploy novel plasma control algorithms for the Eos stellarator, with a strong emphasis on AI and ML assisted control, real-time state estimation, and digital twins. This role sits in the Electrical Engineering and Controls Systems (EECS) team and works day to day with plasma physics, diagnostics, and plant control engineers to bridge plasma physics objectives with plasma control and plant control implementation.
If you can develop plasma control algorithms that are robust, constraint-aware, and ready for experimental operation, covering scenario design, supervisory control, and closed-loop regulation of core profiles, edge and divertor regimes, and off-normal response, we would like to hear from you. You will also contribute to subsystem digital twins and data pipelines that enable model development, validation, and deployment.
Key Responsibility Areas:
Plasma control algorithms and real-time software:
  • Develop, test, and iterate plasma control algorithms for Eos PCS, including multi-rate feedback, supervisory logic, and constraint handling.
  • Build AI/ML assisted control modules, such as learning-augmented MPC, reinforcement learning in simulation, physics-based models augmented with data-driven corrections, and adaptive control and auto-tuning across operating conditions
  • Develop and deploy real-time state estimation and multi-diagnostic data fusion to produce control-grade plasma state, including robust profile reconstruction and regime indicators suitable for closed-loop operation.
  • Develop anomaly detection and early-warning indicators across plasma and plant signals, with clear thresholds and graded mitigation actions.
  • Partner with plasma physicists to translate physics goals into control objectives, observables, constraints, and validation tests.

Digital twins and modeling:
  • Design and maintain digital twin models for plasma control loops and coupled plant subsystems, enabling simulation, optimization, and controller development and validation.
  • Build model validation workflows, including post-shot reconstruction, scenario sweeps, sensitivity studies, and uncertainty-aware comparisons against experimental data

Data and integration:
  • Build and maintain data pipelines for time-series control and diagnostic data, including labeling, archiving, and training and inference workflows.
  • Integrate algorithms into the control stack in collaboration with EECS, ensuring compatibility with real-time constraints and low-latency inference where needed.
  • Maintain high software quality: version control, test coverage, reproducible environments, and operational readiness documentation.

Ideal Experience & Skillsets:
Required qualifications:
  • BS or MS in Electrical Engineering, Computer Science, Physics, Applied Mathematics, or related field.
  • 3 or more years of experience developing control algorithms, ML models, or real-time scientific software for complex physical systems.
  • Strong programming skills in Python, MATLAB and C++.
  • Experience with time-series data processing, signal conditioning, system identification, and validation on real data.
  • Practical familiarity with modern ML tooling (PyTorch, TensorFlow, or JAX) and deploying models into production code paths.
  • Working knowledge of modern control methods, such as state estimation, constrained optimization, MPC, and robust control.

Preferred qualifications:
  • Experience with plasma control, stellarators or tokamaks, or adjacent fields such as accelerators and large scientific infrastructure.
  • Prior work on digital twins, real-time simulators, or physics-informed ML for physical systems.
  • Experience integrating with experimental control and data systems (for example EPICS, MDSplus, SCADA, OPC UA).
  • Familiarity with low-latency deployment and inference engines such as ONNX Runtime and TensorRT.
  • Background in any of the following plant subsystems is a plus: power electronics, cryogenics, vacuum and pumping, high-power RF systems, and safety controls.

Tools and platforms:
  • Languages and frameworks: Python, MATLAB, C++, PyTorch or TensorFlow or JAX, Jupyter
  • Data infrastructure: MDSplus, EPICS, HDF5, InfluxDB, OPC UA, Kafka or ZeroMQ
  • Dev workflows: Git, Docker, MLflow, CI pipelines
  • Simulation and modeling: MATLAB Simulink, Modelica, FMI, and custom physics solvers

Company Benefits:
  • Salary range $120,000-$160,000
  • Comprehensive health benefits (e.g. medical/dental/vision)
  • Employee equity stock options
  • 20 days PTO

Requirements:
  • Ability to occasionally lift up to 50 lbs.
  • Ability to perform activities such as typing, standing, or sitting for extended periods of time.
  • Willingness to occasionally travel or work required nights/weekends/on-call.
  • Ability to work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, high voltage, high current, pressure systems, and cryogenics.

It's not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy.
Diversity and Inclusion:
Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world's hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran's status, or other characteristic protected by applicable laws and regulations.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Thea Energy logo

About Thea Energy

Sourced by ZipRecruiter

Industry

Clean energy semiconductors manufacturing

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2022

View All Thea Energy Jobs

Apply