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Phd Software Engineer Jobs in Arkansas (NOW HIRING)

Rishabh Software Pvt. Ltd

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

Masters, PhD, or Advanced degree (Preferred) * 3+ years of experience in AI/ML engineering ... Software Development, Applied Mathematical Modelling, Programming for Automation, Data Pipeline ...

Uasys

COSMOS - Data Engineer IV

Little Rock, AR

$109K - $131K/yr

The candidate must have 4+ years of experience as a data engineer/software developer/software engineer/database administrator, or other similar roles; or a PhD degree in Computer Science, Information ...

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Phd Software Engineer information

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$52.5K

$122K

$169.9K

How much do phd software engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for phd software engineer in Arkansas is $121,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $143,100.00 per year, depending on experience, location, and employer.

What is a PhD Software Engineer?

A PhD Software Engineer is a professional who has completed a Doctor of Philosophy (PhD) degree specializing in computer science, software engineering, or a related field, and works in designing, developing, and optimizing software systems. They often engage in advanced research, develop innovative algorithms, and solve complex technical problems. Their expertise is typically utilized in roles that require deep technical knowledge, research skills, and the ability to push the boundaries of current technology. PhD Software Engineers are commonly found in academia, research institutions, and leading technology companies.

What are the key skills and qualifications needed to thrive as a PhD Software Engineer, and why are they important?

A PhD Software Engineer requires advanced programming expertise, strong analytical and research skills, and typically a doctorate in computer science or a related field. Familiarity with specialized programming languages, version control systems like Git, and experience with research-oriented software tools are common technical requirements. Exceptional problem-solving, collaboration, and communication skills help bridge the gap between research and practical application. These abilities are crucial for driving innovation, translating complex theories into scalable solutions, and contributing to cutting-edge technology projects.

How does having a PhD impact the daily responsibilities and project involvement of a Software Engineer?

As a PhD Software Engineer, you are often entrusted with tackling complex problems and leading research-driven projects that require advanced analytical and technical skills. Your daily work may involve designing novel algorithms, conducting experiments, and collaborating closely with cross-functional teams such as data scientists and product managers. Additionally, you might mentor junior engineers and help shape the technical direction of your team. This role leverages your research background to bridge the gap between academic innovation and practical software solutions.
What are popular job titles related to Phd Software Engineer jobs in Arkansas? For Phd Software Engineer jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Phd Software Engineer jobs in Arkansas look for? The top searched job categories for Phd Software Engineer jobs in Arkansas are:
What cities in Arkansas are hiring for Phd Software Engineer jobs? Cities in Arkansas with the most Phd Software Engineer job openings:
Phd Software Engineer jobs near you
Infographic showing various Phd Software Engineer job openings in Arkansas as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,988 per year, or $58.6 per hour.

AI Engineer

Rishabh Software Pvt. Ltd

Little Rock, AR • On-site

$109K - $131K/yr

Other

Re-posted 3 days ago

Job description

Position: AI Engineer

Location: Carmel, IN, Little Rock, AR & Eagan, MN (Hybrid)

Duration: Contract to hire (6 months)

Responsibilities:

  • Research and prototype AI/ML models in areas such as NLP, computer vision, generative AI, and recommendation systems. Rapidly test new tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Google Vertex AI) for use in forward-looking applications.
  • Engage in ideation sessions and support the development of MVPs and scalable solutions.
  • Utilize a variety of programming languages and tools to build and deploy machine learning models.
  • Support both batch and real-time inference pipelines in collaboration with Data Science and Applied AI teams.
  • Support the development of MVP Gen AI applications by enabling data integrations, vendor connections, and deployment paths Assist in building custom deployment workflows in Python (e.g., with Kubernetes or REST APIs) when needed for prioritized prototypes
  • Collaborate closely to integrate AI into user-facing interfaces Use APIs (e.g., OpenAI, Hugging Face) to embed intelligent features. Ability to make timely recommendations to effectively solve problems, using independent judgment consistent with standards, practices, policies, procedures, regulations, and/or law.

Requirement:

  • Bachelor's degree in, Computer Science, Computer Information Systems, IT, Software Engineering, Data Analytics, Data Science OR Mathematics, Statistics, Economics, Business Administration, or related field with Equivalent Masters or Certifications and see level years of experience (required)
  • Masters, PhD, or Advanced degree (Preferred)
  • 3+ years of experience in AI/ML engineering (Preferred)
  • Experience working with generative AI (e.g., LLMs, diffusion models, multimodal models) preferred
  • Specific experience with R and Python (Required)
  • Previous energy industry experience (Preferred)
  • Specific experience with 5-7 of the following required: Predictive Modelling, Data Cleaning, Data Visualization, Segmentation Modelling, Natural Language Processing, Graph Database Knowledge, API Usage, Database Querying, Software Development, Applied Mathematical Modelling, Programming for Automation, Data Pipeline Building, CI/CD
  • Azure Certifications preferred

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