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Algorithm Engineer Jobs in North Carolina (NOW HIRING)

Infosys

Gen AI Python Engineer

Charlotte, NC · On-site

As a Gen AI Python Engineer, you will develop advanced models and algorithms, ensuring data readiness for complex use cases while optimizing performance and reliability. Responsibilities : • ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

In this role, you will help develop software and machine learning algorithms to address real-world ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

ACT Power Services

Controls Engineer

Raleigh, NC · On-site

$81K - $105K/yr

Develop and implement control algorithms to achieve desired system performance, accuracy, and reliability Programming and Implementation: * Program and configure PLCs, HMIs, SCADA systems, and other ...

ACT Power Services

Controls Engineer

Raleigh, NC

$81K - $105K/yr

Develop and implement control algorithms to achieve desired system performance, accuracy, and reliability Programming and Implementation: * Program and configure PLCs, HMIs, SCADA systems, and other ...

BC Forward

Data Engineer

Charlotte, NC · On-site

$70.23/hr

... algorithms and prototypes · Combine raw information from different sources · Explore ways to ... Engineer) is a plus · Technical expertise with data models, data mining, and segmentation ...

BotBuilt

Robotics Scientist

Durham, NC · On-site

$120K - $150K/yr

What you'll do at BotBuilt You'll work on a variety of projects providing guidance to engineers. - Architect solutions that involve the selection of sensors, mechanisms, and algorithms by working ...

Forhyre

Prompt Engineers

Charlotte, NC

As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in ...

Hitachi, Ltd.

Control Lead Engineer

Raleigh, NC · On-site

Engineering & Science Job Schedule: Full time Remote: No The Opportunity At Hitachi Energy, we're ... Develop and test control algorithms for power converters * Simulate system behavior using MATLAB ...

Hitachi

Control Lead Engineer

Raleigh, NC · On-site

Engineering & Science Job Schedule: Full time Remote: No The Opportunity At Hitachi Energy, we're ... Develop and test control algorithms for power converters * Simulate system behavior using MATLAB ...

Infosys

Gen AI Python Engineer

Charlotte, NC · On-site

... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ... engineering principles. • Knowledge of MLOps and AI/ML deployment (e.g., SageMaker, Snowflake ...

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All JobsAlgorithm Engineer JobsAlgorithm Engineer Jobs in North Carolina

Algorithm Engineer information

See North Carolina salary details

$54.1K

$101.5K

$184.5K

How much do algorithm engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for algorithm engineer in North Carolina is $101,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $120,400.00 per year, depending on experience, location, and employer.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and stock options. These roles often require expertise in programming, algorithms, and sometimes leadership responsibilities in tech companies or startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, but AI technology currently complements rather than replaces their role. MLEs are essential for building, deploying, and maintaining complex AI systems, and their expertise in data handling, model tuning, and system integration remains critical as AI advances. Continuous learning and familiarity with tools like TensorFlow or PyTorch are important for MLEs to stay relevant in evolving AI environments.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may test algorithms in simulation or real-world environments to ensure efficiency and accuracy.

What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive in the Algorithm Engineer position, and why are they important?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What engineers make $300,000 a year?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications in relevant tools and programming languages.
What are the most commonly searched types of Algorithm Engineer jobs in North Carolina? The most popular types of Algorithm Engineer jobs in North Carolina are:
What are popular job titles related to Algorithm Engineer jobs in North Carolina? For Algorithm Engineer jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Algorithm Engineer jobs in North Carolina look for? The top searched job categories for Algorithm Engineer jobs in North Carolina are:
What are popular job titles related to Algorithm Engineer jobs in NC? For Algorithm Engineer jobs in NC, the most frequently searched job titles are:
Algorithm Engineer jobs near you
Gen AI Python Engineer

Gen AI Python Engineer

Infosys

Charlotte, NC • On-site

Full-time

Re-posted 24 days ago

Infosys rating

7.4

Company rating: 7.4 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

107th of 210 rated it services

Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting, specializing in transforming data into actionable insights. As a Gen AI Python Engineer, you will develop advanced models and algorithms, ensuring data readiness for complex use cases while optimizing performance and reliability.
Responsibilities:
• Develop data preparation tasks, while identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
• Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
• Proactively maintain models and implement improvements for accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at an individual task level in the project.
• Deploy complex analytics tools or multi-system integration, while validating deployment success.
• Participate in developing scripts or templates for repeated deployments tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.
• Participate in and deliver analytics training, while contributing to content creation.
• Provide input for segment and unit-level business plans.
Qualifications:
Required:
• Experience in cloud platforms (Azure, GCP) and their AI/ML services.
• Experience in Generative AI, LLMs, and agentic frameworks.
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience in Big Data technologies (e.g., BigQuery, Hadoop).
• Expertise in ML model development, data engineering, and software engineering principles.
• Knowledge of MLOps and AI/ML deployment (e.g., SageMaker, Snowflake).
• Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts.
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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