... quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn ... Strong background in statistics, algorithms, and data structures * Experience with relational ...
... quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn ... Strong background in statistics, algorithms, and data structures * Experience with relational ...
AI Engineer
Glassboro, NJ · On-site
$99K - $130K/yr
... algorithms and techniques: supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP): language models, text generation ...
AI Engineer
Glassboro, NJ · On-site
$99K - $130K/yr
... algorithms and techniques: supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP): language models, text generation ...
Quantum Algorithm information
See Marcus Hook, PA salary details
$33.07 - $39.28
5% of jobs
$39.28 - $45.48
0% of jobs
$45.48 - $51.69
0% of jobs
$51.69 - $57.89
2% of jobs
$57.89 - $64.10
15% of jobs
$66.17 is the 25th percentile. Wages below this are outliers.
$64.10 - $70.30
9% of jobs
$70.30 - $76.51
6% of jobs
The median wage is $79.61 / hr.
$76.51 - $82.71
25% of jobs
$86.44 is the 75th percentile. Wages above this are outliers.
$82.71 - $88.92
21% of jobs
$88.92 - $95.12
15% of jobs
$95.12 - $101.33
2% of jobs
$33
$76
$101
How much do quantum algorithm jobs pay per hour?
As of Jul 28, 2026, the average hourly pay for quantum algorithm in Marcus Hook, PA is $76.59, according to ZipRecruiter salary data. Most workers in this role earn between $65.19 and $86.78 per hour, depending on experience, location, and employer.
Is quantum computing a good career?
A career as a quantum algorithm developer involves working with quantum programming languages like Qiskit or Cirq and understanding quantum mechanics and computer science. The field is growing rapidly with increasing research funding and industry interest, offering opportunities in academia, tech companies, and startups. Strong mathematical, programming, and problem-solving skills are essential for success in this area.
How to become a quantum algorithm developer?
To become a quantum algorithm developer, you should have a strong background in quantum computing, linear algebra, and programming languages such as Python. Gaining experience with quantum programming frameworks like Qiskit or Cirq and pursuing relevant degrees or certifications in quantum information science can also be beneficial.
How much does a quantum algorithm developer make?
Quantum algorithm developers typically earn between $100,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in quantum computing tools like Qiskit or Cirq can earn higher salaries, often exceeding $200,000.
Is Q-Ctrl a real company?
Q-Ctrl is a real company that specializes in developing quantum control solutions and software for quantum computing. It provides tools and expertise to help researchers and organizations improve quantum hardware performance and error correction. The company is known for its work in the quantum technology industry and collaborates with various research institutions and industry partners.
What are quantum algorithms?
Quantum algorithms are specialized sets of instructions designed to run on quantum computers, utilizing the principles of quantum mechanics such as superposition and entanglement. Unlike classical algorithms, quantum algorithms can solve certain problems much faster, such as factoring large numbers or searching databases. Notable examples include Shor's algorithm for integer factorization and Grover's algorithm for unsorted database search. As quantum computers develop, quantum algorithms are expected to revolutionize fields like cryptography, optimization, and materials science.
What are the typical collaboration opportunities for professionals working in quantum algorithm development?
Professionals in quantum algorithm development often work closely with quantum hardware engineers, classical algorithm designers, and domain experts in fields like cryptography or chemistry. Collaboration is essential, as quantum algorithm development requires aligning theoretical insights with the practical constraints of current quantum devices. Team members frequently participate in interdisciplinary meetings and code reviews, ensuring that algorithms are both innovative and implementable. This collaborative environment fosters learning and can open pathways to roles in research, technical leadership, or product management within quantum computing.
What are the key skills and qualifications needed to thrive as a Quantum Algorithm Developer, and why are they important?
To thrive as a Quantum Algorithm Developer, you need a strong background in quantum mechanics, computer science, and mathematics, often supported by advanced degrees in physics, computer science, or a related field. Familiarity with quantum programming languages (like Qiskit or Cirq), quantum computing platforms, and knowledge of classical and quantum algorithms are essential. Creative problem-solving, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills. These skills enable the development of effective quantum solutions and collaboration with interdisciplinary teams in a rapidly evolving technological landscape.
What cities near Marcus Hook, PA are hiring for Quantum Algorithm jobs? Cities near Marcus Hook, PA with the most Quantum Algorithm job openings:
Senior Applied Data Scientist - Data Architecture & Feature Engineering
Harrisonville, NJ • On-site
Other
Posted yesterday
Keysight Technologies rating
8.1
Based on 20 frontline employees who took The Breakroom Quiz
49th of 156 rated electronics manufacturers
Job description
Overview
Responsibilities
Qualifications
Keysightis on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn moreabout what we do.
Our award-winningculture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions.We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
About Keysight AI Labs
Keysight’s AI Labs is a global R&D group pioneering the integration of machine learning, generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems - from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows.
About the AI Team
Join Keysight's central AI Hub in the heart of Barcelona. We are expanding our newly formed AI Team. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI.
About the Role
We are seeking a Senior Applied Data Scientist with strong data engineering capabilities. You will explore complex engineering data, architect scalable data infrastructure, and shape the data foundation powering AI model development across Keysight products. This role bridges research and production, from data discovery to robust ETL/ELT pipeline design and feature creation for ML models.
Responsibilities
Partner with internal experts to identify critical data sources and define ML-relevant features
Architect and build scalable data lakes/databases for standardized and efficient cross-org data access
Clean, align, normalize, and integrate data from simulations, measurements, and operational systems
Develop and maintain reproducible ETL/ELT pipelines for structured and unstructured data using SQL, Python, Snowflake, and cloud-native workflows
Perform EDA, feature engineering, regression, and dimensionality reduction to generate high-value insights
Ensure data governance, lineage, metadata management, and compliance
Support experiment design, hypothesis testing, and statistical modeling
Work closely with ML engineers to accelerate model training, deployment, and ongoing monitoring
Present results and actionable recommendations to product and R&D stakeholders
Qualifications
Required Qualifications
Master’s in Data Science, Statistics, CS, EE, or related quantitative field
5+ years of experience as an applied data scientist or hybrid DS/DE role
Expert proficiency in Python, SQL, and data manipulation libraries
Strong background in statistics, algorithms, and data structures
Experience with relational + NoSQL databases and designing scalable data architectures
Hands-on experience with big data tools (e.g., Spark, Kafka, Snowflake, Databricks, Hadoop)
Experience supporting ML workflows — MLOps, CI/CD, containerization (Docker/Kubernetes)
Experience with cloud platforms: Azure / AWS / GCP
Clear track record of driving data-to-value outcomes
Experience with measurement or simulation-heavy domains (e.g., wireless, electronics, semiconductor)
Familiarity with deep learning frameworks and ML for time-series or unstructured data
Visualization skills (e.g., Power BI, Tableau, Plotly)
Knowledge of data governance, lineage, metadata management tools
Experience with microservices and APIs
Open-source contributions or publications
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
Qualifications:Required Qualifications
Master’s in Data Science, Statistics, CS, EE, or related quantitative field
5+ years of experience as an applied data scientist or hybrid DS/DE role
Expert proficiency in Python, SQL, and data manipulation libraries
Strong background in statistics, algorithms, and data structures
Experience with relational + NoSQL databases and designing scalable data architectures
Hands-on experience with big data tools (e.g., Spark, Kafka, Snowflake, Databricks, Hadoop)
Experience supporting ML workflows — MLOps, CI/CD, containerization (Docker/Kubernetes)
Experience with cloud platforms: Azure / AWS / GCP
Clear track record of driving data-to-value outcomes
Experience with measurement or simulation-heavy domains (e.g., wireless, electronics, semiconductor)
Familiarity with deep learning frameworks and ML for time-series or unstructured data
Visualization skills (e.g., Power BI, Tableau, Plotly)
Knowledge of data governance, lineage, metadata management tools
Experience with microservices and APIs
Open-source contributions or publications
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
Education:UNAVAILABLEEmployment Type: UNAVAILABLEWhat Keysight Technologies employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Keysight Technologies
Sourced by ZipRecruiter
Industry
Electrical equipment, appliance, and component manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Rosa, CA, US
Year founded
1937