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Tensorflow Pytorch Jobs in Lexington, SC (NOW HIRING)

Software Engineer

Columbia, SC · On-site

$120 - $160/hr

Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn) to enhance system efficiency. * Demonstrated proficiency ...

New

Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn) to enhance system efficiency. * Demonstrated proficiency ...

Applied AI Engineer

Kneece, SC · On-site

$121.62 - $217.71/hr

Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. * Knowledge of MLOps practices, including CI/CD pipelines, testing, and monitoring. * Familiarity ...

New

... PyTorch, TensorFlow) * 1+ year experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with graph representation learning, graph transformers (e.g ...

Tensorflow Pytorch information

See Lexington, SC salary details

$32.1K

$105.1K

$168.2K

How much do tensorflow pytorch jobs pay per year?

As of Aug 21, 2026, the average yearly pay for tensorflow pytorch in Lexington, SC is $105,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,300.00 and $116,400.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What cities near Lexington, SC are hiring for Tensorflow Pytorch jobs?

Cities near Lexington, SC with the most Tensorflow Pytorch job openings:

Infographic showing various Tensorflow Pytorch job openings in Lexington, SC as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $105,059 per year, or $50.5 per hour.

Software Engineer

Integer Technologies

Columbia, SC • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

This Software Engineer role will be focused on developing software tools supporting system design, development, and manufacturing for customers in the defense, and aerospace, and maritime industries. Key objectives for the role are:

  • Develop modeling and simulation software tools for use in design and manufacturing environments.
  • Research and integrate emerging computational tools and workflows, including AI/ML technologies and modern data architectures, with physics-based modeling and simulation.
  • Collaborate across disciplines and with university partners to build prototypes that demonstrate technical capabilities applied to design and manufacturing systems with DoW relevance.
  • Mature prototype capabilities into production-ready enterprise applications supporting the defense industrial base.
What you'll do
  • Agentic Architecture Development: Support research and development of autonomous software agents, deployed in the control of complex systems.
  • Architectural Design & Documentation: Develop and document robust technical solutions for unique problem sets, ensuring scalable and maintainable software architectures and promoting standardization and re-use of modular code.
  • Software Development & Automation: Write clean, efficient code; adapt existing frameworks; and develop pipelines that optimize development processes and drive tangible results.
  • Product Development: Leverage hands-on software development experience to create innovative software products for internal teams and external customers, using proven methodologies from past projects.
  • Data Integration Strategy: Develop and implement methods for integrating data from multiple sources—ranging from design information to transactional and streaming data—to create unified, actionable insights.
  • Software Quality Management through DevOps Practices: Implement and oversee DevOps methodologies to ensure software integrity, maintainability, and scalability. Utilize version control systems (e.g., Git) for source code management, enforce CI/CD pipelines for automated testing and deployment, and apply infrastructure-as-code principles to enhance operational efficiency.
  • Automated Workflow & Cross-Functional Collaboration: Build automated workflows to streamline data and software operations, while collaborating with cross-functional teams including data scientists, engineers, and domain specialists to ensure software solutions align with business needs.
  • Technical & Non-Technical Presentations: Present and clearly articulate architectural solutions to both technical teams and non-technical stakeholders, ensuring alignment and understanding across all levels.
  • Technical Research & Documentation: Conduct research, review technical documentation, and evaluate the pros and cons of emerging technologies to continuously refine engineering strategies.
  • Stakeholder Communication: Translate complex software functions and development requirements into clear, accessible terms for customers, government representatives, project managers, and other non-technical stakeholders.
Qualifications
  • Must be a U.S. Citizen with the ability to obtain and maintain a DoW Secret Clearance (eligibility for Top Secret is a plus).
  • Bachelor’s degree in Computer Science, Software/Computer Engineering or related field.
  • 5+years of professional experience in software development related to modeling, simulation, design, or manufacturing applications.
  • Experience with middleware software languages and technologies. For example: Java, C++, C#, Objective C, Python, SQL, Rust, Perl, Go, REST API, or Bash.
  • Demonstrated proficiency in developing software products for deployment in a defense environment.
  • Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn) to enhance system efficiency.
  • Demonstrated proficiency in designing and documenting scalable technical solutions, including microservices, cloud-based architectures, and modular frameworks.
  • Proficiency in building systems utilizing simultaneous data streams from real-world equipment and/or simulations such as Digital Twins.
  • Hands-on experience with DevOps practices, including CI/CD pipelines, automated testing, containerization (Docker/Kubernetes), and version control systems (Git).
  • Experience mentoring junior developers, conducting peer code reviews, and contributing to a knowledge-sharing culture.
  • Excellent problem-solving skills and attention to detail.
  • Excellent written and verbal communication skills; ability to produce clear technical reports and give concise briefings to senior military and executive stakeholders.
Additional Desired Qualifications
  • Masters or PhD in a relevant engineering or computer science discipline.
  • Experience with Systems Engineering and Systems Integration.
  • Experience in development of computation design applications.
  • Experience in manufacturing environments.
  • Experience using modeling and simulation tools in the development and optimization of components and systems, such as FEA, CFD, Discrete-event Simulation.
  • Experience in developing and maintaining enterprise software in production.
  • Experience developing and running applications on HPCs.
What We Do

Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs… at the speed of relevance.

Compensation and Benefits
  • Base salary which exceeds local & national industry averages.
  • Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Integer’s standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving employees thousands of dollars annually.
  • Year-end performance-based bonuses.
  • 401(k) with company matching that vest immediately; no funny business.
  • Paid vacation.
  • Paid sick leave.
  • Paid holidays.
Company Perks
  • Startup culture with the stability of a large company. Integer’s business plan has years of time phased contracted work, alleviating the would-be risk from a traditional small company.
  • Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth.
  • Friendly atmosphere where people enjoy not only their work and what they are creating but enjoy helping each other as well.
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