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Semiconductor Device Modeling Jobs in Texas (NOW HIRING)

... quantization, model optimization, and numerical methods for DNNs • Proficiency in Python and ... SEMRON develops a 3D-scaled AI inference chip, based on a new proven semiconductor device. Founded ...

Reliability Engineer

Sherman, TX · On-site

$88K - $111K/yr

... modeling * Statistical analysis using JMP, Excel, Python, or equivalent tools * Design of Experiments (DOE) * SQL and data analysis tools * Strong understanding of III-V semiconductor device physics

Reliability Engineer

Sherman, TX

$88K - $111K/yr

... modeling * Statistical analysis using JMP, Excel, Python, or equivalent tools * Design of Experiments (DOE) * SQL and data analysis tools * Strong understanding of III-V semiconductor device physics

Reliability Engineer

Sherman, TX · On-site

$88K - $111K/yr

... modeling * Statistical analysis using JMP, Excel, Python, or equivalent tools * Design of Experiments (DOE) * SQL and data analysis tools * Strong understanding of III-V semiconductor device physics

Yield Engineer

Taylor, TX · On-site

$92K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science & Modeling * Apply statistical analysis, machine learning, and predictive modeling to ... Strong understanding of semiconductor device physics, wafer fabrication, and transistor performance ...

New

Yield Engineer

Taylor, TX · On-site

$92K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science & Modeling * Apply statistical analysis, machine learning, and predictive modeling to ... Strong understanding of semiconductor device physics, wafer fabrication, and transistor performance ...

Staff PDK Engineer

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... device modeling, process development, and foundry groups to enable the efficient use of CAD tools ... IC design and semiconductor processes. * Prior development experience and demonstrated ...

Analog Design Lead - Power Management

Austin, TX · On-site

$158K - $165K/yr

Understanding of semiconductor device physics, device safe-operating area (SOA), and power transistors used for high frequency switching. Solid understanding of DC/DC power converter modeling ...

This unlocks bigger, more capable models and faster, more responsive applications-whether in edge ... Good understanding & knowledge of semiconductor device physics, and advanced process technology

Senior NVM Circuit Designer

Austin, TX · On-site

$120K - $225K/yr

This unlocks bigger, more capable models and faster, more responsive applications--whether in edge ... Good understanding & knowledge of semiconductor device physics, and advanced process technology

Senior NVM Circuit Designer

Austin, TX · On-site

$120K - $225K/yr

This unlocks bigger, more capable models and faster, more responsive applications-whether in edge ... Good understanding & knowledge of semiconductor device physics, and advanced process technology

Showing results 41-60

Semiconductor Device Modeling information

See Texas salary details

$55K

$83.6K

$114.1K

How much do semiconductor device modeling jobs pay per year?

As of Aug 17, 2026, the average yearly pay for semiconductor device modeling in Texas is $83,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $103,400.00 per year, depending on experience, location, and employer.

What are the typical daily tasks for someone working in semiconductor device modeling?

Professionals in Semiconductor Device Modeling typically spend their days developing and refining computer models of electronic devices, running simulations to predict device behavior, and analyzing data to optimize designs. Collaborating closely with design engineers, process engineers, and fabrication teams is common to ensure models accurately reflect real-world device performance. Additionally, you may be responsible for documenting your findings, preparing technical reports, and presenting your results to cross-functional teams. This dynamic role often requires multitasking between project requirements and ongoing collaboration to meet tight development timelines.

What are the key skills and qualifications needed to thrive in semiconductor device modeling, and why are they important?

To excel in Semiconductor Device Modeling, candidates generally need advanced knowledge of semiconductor physics, device operation principles, and a degree in electrical engineering or a related field. Familiarity with simulation tools such as TCAD, SPICE, and MATLAB, as well as programming skills in Python or C++, is highly valuable. Strong analytical thinking, problem-solving abilities, and effective teamwork set top performers apart in this role. These qualifications are crucial because device modeling directly influences product design, manufacturing efficiency, and the innovation of new semiconductor technologies.

What is a semiconductor device modeling?

A Semiconductor Device Modeling job involves developing mathematical and computational models to simulate the electrical, thermal, and physical behavior of semiconductor devices. Engineers in this role use tools like TCAD, SPICE, and numerical solvers to analyze device performance, optimize designs, and support technology development. They work closely with process engineers, circuit designers, and researchers to improve semiconductor fabrication and ensure accurate representation of device behavior under various conditions.

What are popular job titles related to Semiconductor Device Modeling jobs in Texas?

For Semiconductor Device Modeling jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Semiconductor Device Modeling jobs in Texas look for?

The top searched job categories for Semiconductor Device Modeling jobs in Texas are:

What cities in Texas are hiring for Semiconductor Device Modeling jobs?

Cities in Texas with the most Semiconductor Device Modeling job openings:

Infographic showing various Semiconductor Device Modeling job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $83,648 per year, or $40.2 per hour.

ML Research Scientist

SEMRON

Austin, TX • On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
SEMRON is redefining what’s possible in AI hardware, and they are seeking an ML Research Scientist to design algorithms and quantization schemes for efficient inference on their analog in-memory compute platform. The role involves researching novel quantization methods, designing algorithms for matrix-vector multiplication, and collaborating with hardware engineers to define algorithmic requirements.
Responsibilities:
• Research and develop novel analog-aware quantization methods (PTQ and QAT) tailored to in-memory compute constraints
• Design mathematically principled matrix-vector multiplication algorithms that exploit sparsity, noise resilience, and non-idealities to improve hardware efficiency
• Collaborate with analog hardware engineers to define algorithmic requirements and guide co-development of compute primitives
Qualifications:
Required:
• PhD or equivalent research experience in machine learning, applied mathematics, or a related field
• Strong understanding of quantization, model optimization, and numerical methods for DNNs
• Proficiency in Python and PyTorch, with the ability to rapidly prototype and evaluate research ideas
• A research mindset: curiosity, rigor, and the ability to explore and discard ideas efficiently
Preferred:
• Contributions to quantization libraries or novel compression methods
• Publications in top-tier ML venues (NeurIPS, ICLR, ICML, etc.)
• Familiarity with analog computation challenges (noise, nonlinearity, limited precision, etc.) and the ability to abstract them into robust algorithms
• Experience collaborating with hardware teams or formulating algorithm-hardware co-design strategies
Company:
SEMRON develops a 3D-scaled AI inference chip, based on a new proven semiconductor device. Founded in 2020, the company is headquartered in Dresden, DEU, with a team of 11-50 employees. The company is currently Early Stage.