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Physics Informed Machine Learning Jobs in Exeter, NH

Software Engineer

Bedford, NH · On-site

$112K - $179K/yr

Artificial intelligence (reasoning, probabilistic inference, machine learning Qualifications * 5 ... Physics, or related scientific/engineering discipline. * Ability and desire to quickly acquire ...

Artificial intelligence (reasoning, probabilistic inference, machine learning Qualifications * 5 ... Physics, or related scientific/engineering discipline. * Ability and desire to quickly acquire ...

Knowledge of integrated circuit design, semiconductor devices, and semiconductor physics ... Familiarity with automation, machine learning, AI-assisted engineering tools, or advanced ...

Hardware Engineer

Bedford, NH · On-site

$135K - $216K/yr

Artificial intelligence (reasoning, probabilistic inference, machine learning In this position, as ... Physics, or related scientific/engineering discipline * US Citizenship * Active Secret Clearance ...

Knowledge of integrated circuit design, semiconductor devices, and semiconductor physics ... Familiarity with automation, machine learning, AI-assisted engineering tools, or advanced ...

Knowledge of integrated circuit design, semiconductor devices, and semiconductor physics ... Familiarity with automation, machine learning, AI-assisted engineering tools, or advanced ...

Hardware Engineer

Bedford, NH · On-site

$135K - $216K/yr

Artificial intelligence (reasoning, probabilistic inference, machine learning In this position, as ... Physics, or related scientific/engineering discipline * US Citizenship * Active Secret Clearance ...

Knowledge of integrated circuit design, semiconductor devices, and semiconductor physics ... Familiarity with automation, machine learning, AI-assisted engineering tools, or advanced ...

Hardware Engineer

Bedford, NH · On-site

$135K - $216K/yr

Artificial intelligence (reasoning, probabilistic inference, machine learning In this position, as ... Physics, or related scientific/engineering discipline * US Citizenship * Active Secret Clearance ...

Showing results 21-40

Physics Informed Machine Learning information

See Exeter, NH salary details

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How much do physics informed machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for physics informed machine learning in Exeter, NH is $20.41, according to ZipRecruiter salary data. Most workers in this role earn between $12.74 and $25.91 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What cities near Exeter, NH are hiring for Physics Informed Machine Learning jobs?

Cities near Exeter, NH with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Exeter, NH as of August 2026, with employment types broken down into 6% Internship, 40% Full Time, 45% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,461 per year, or $20.4 per hour.

Software Engineer

Peraton

Bedford, NH • On-site

$112K - $179K/yr

Full-time

Re-posted 5 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 226 rated it services


Job description

Responsibilities
Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way. Peraton Lab's cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure-by-design techniques and cyber operations and experimentation platforms.
Our projects span several areas of interest. Our core competencies include (but are not limited to):
  • Program analysis, including program understanding, vulnerability identification, and remediation
  • Malware analysis and reverse engineering
  • Resilient networking in support of cyber mission goals
  • Software-defined networking for cyber defense and deception
  • Artificial intelligence (reasoning, probabilistic inference, machine learning

Qualifications
  • 5 years with BS/BA; 3 years with MS/MA; 0 years with PhD
  • Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, or related scientific/engineering discipline.
  • Ability and desire to quickly acquire knowledge of new subject matter areas
  • Expertise in one or more of: C, C++, Java, Python, Go, or similar languages
  • Working knowledge of Linux, MacOS, Windows, and mobile operating systems, platforms and internals
  • Working knowledge of modern computer networking technologies
  • Working knowledge of modern development practices and toolsets (Git, subversion, CI/CD toolchains)
  • US citizenship
  • Active Secret clearance with ability to obtain TS/SCI

Other Relevant Skills (not required, but any are a plus):
  • Experience as a technical lead on software development projects or research teams
  • Experience as a Principal Investigator on DoD/IC research projects
  • Experience in business development, including technical marketing, idea generation, and authoring whitepapers and proposals for new work.
  • Experience in one or more of the following areas:
    • Program Analysis
    • Computer networking protocol design and/or analysis
    • Compute and network emulation, containerization, and virtualization
    • Reverse Engineering
    • Real-Time Operation Systems (RTOS)
    • Field Programmable Gate Array (FPGA)
  • Experience with one or more of the following classes of tools and frameworks:
    • Binary Analysis Tools, such as GHIDRA, Hex-Rays IDA, Binary Ninja, Angr,
    • Debugging and Sandboxing tools, such as Cuckoo sandbox, OllyDBG, WinDbg
    • CNO toolsets, including Metasploit, Cobalt Strike
    • Network emulation frameworks including CORE, EMANE, MiniNet
    • Container and Orchestration solutions, including: Docker, Docker Swarm, Kubernetes, Terraform
    • Cloud services experience (AWS, Azure, OpenStack)
  • Experience with DevOps and Agile development methodologies
  • Experience in the U.S. DoD/IC research community
  • CNO operational experience

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017