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Full Time Ai Computer Science Jobs (NOW HIRING)

Falcomm

AI/CAD Software Engineer

Atlanta, GA · On-site

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Requirements * Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a ...

Falcomm

AI/CAD Software Engineer

Atlanta, GA · On-site

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Requirements * Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a ...

Falcomm

AI/CAD Software Engineer

Atlanta, GA · On-site

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Requirements * Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a ...

Kaspar Companies

AI Specialist

Shiner, TX · On-site

Job Summary : Kaspar Companies is seeking a full-time AI Specialist to lead their AI-driven ... Required : • Bachelor's degree in Computer Science, Information Technology, or related ...

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Full Time Ai Computer Science information

What is the difference between Full Time Ai Computer Science vs Data Scientist?

AspectFull Time Ai Computer ScienceData Scientist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or higher in Data Science, Statistics, or related fields; certifications in Data Analysis or ML
Work EnvironmentTech companies, research labs, AI-focused teamsBusiness, finance, healthcare, tech firms analyzing data
Employer & Industry UsagePrimarily in AI development, machine learning projectsData analysis, predictive modeling, business insights

Full Time Ai Computer Science roles focus on developing AI algorithms and systems, often requiring strong programming and machine learning skills. Data Scientists analyze data to extract insights, using statistical and analytical tools. While both roles involve machine learning, AI Computer Science emphasizes building AI models, whereas Data Scientists focus on interpreting data for decision-making.

What is a full time AI computer science job?

A Full Time AI Computer Science job typically involves working as a professional in the field of artificial intelligence, applying computer science principles to develop, implement, and optimize AI systems and solutions. Responsibilities may include designing machine learning models, analyzing data, programming algorithms, and collaborating with other engineers and data scientists. These roles are usually found in technology companies, research institutions, and industries adopting AI to enhance products or services, and require a strong background in computer science, mathematics, and programming languages such as Python or Java.

What are some common challenges faced by professionals in a full time AI computer science role, and how can they be addressed?

Professionals in full-time AI computer science roles often encounter challenges such as staying current with rapidly evolving technologies, managing large datasets, and effectively translating business needs into technical solutions. Keeping up with the latest research papers, tools, and frameworks is essential but can be time-consuming. Collaborating closely with cross-functional teams and participating in knowledge-sharing sessions can help bridge gaps and foster innovation. Additionally, leveraging mentorship and continuous learning opportunities within the organization can support career growth and help tackle complex problems more efficiently.

What are the key skills and qualifications needed to thrive as a full time AI computer scientist?

To thrive as a Full-Time AI Computer Scientist, you need strong programming skills (Python, C++), a solid background in mathematics and statistics, and at least a bachelor's or master's degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Machine Learning are typically required. Critical thinking, problem-solving, and effective teamwork help set top professionals apart in this field. These skills are crucial for designing, implementing, and optimizing AI solutions that solve complex real-world problems.
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Full Time Ai Computer Science jobs near you
Infographic showing various Full Time Ai Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

AI/CAD Software Engineer

Falcomm

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

Are you passionate about applying machine learning to transform the future of RF hardware? At Falcomm, we are revolutionizing wireless communications by integrating AI-driven solutions into the design of our energy-efficient Power Amplifier (PA) products. We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development of intelligent tools that enhance RF workflows, automate complex EM simulations, and accelerate the tape-out of high-performance PAs. This role sits at the intersection of software engineering, machine learning, and RF physics, perfect for a developer who wants to get close to the hardware.

Responsibilities:
  • End-to-End ML Pipeline Development: Architect and maintain robust code for training and serving ML models that predict and optimize RF performance metrics.
  • PA Design Automation: Automate the creation and management of large-scale datasets derived from PA load-pull and electromagnetic (EM) simulations.
  • Tool Integration: Seamlessly integrate ML inference engines into existing RF EDA infrastructure to provide real-time feedback to PA designers.
  • Software Engineering Excellence: Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews within an agile hardware team.
  • Cross-Functional Collaboration: Partner closely with RF/PA architects to translate complex impedance matching and linearity requirements into deployable software solutions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • 2+ years of professional experience in software engineering or machine learning.
  • Proficiency in Python: Advanced scripting, object-oriented programming, and automation skills.
  • ML Framework Expertise: Experience building models using PyTorch, TensorFlow, or scikit-learn.
  • Data Engineering: Strong grasp of data processing libraries (pandas, numpy, scipy) and file I/O operations.
  • Software Fundamentals: Solid understanding of algorithms, data structures, and version control (Git).
  • RF Domain Knowledge: RF front-end architectures, or a strong understanding of RF metrics (PAE, Gain, ACLR, EVM).
Preferred Skills (The "RF/PA Plus")
  • RF PA Domain Knowledge: Experience with Power Amplifier design and an understanding of RF PA metrics.
  • RF/EM Simulation Tools: Hands-on experience with Cadence Virtuoso, Ansys HFSS, or Keysight ADS.
  • Open Source Innovation: Experience utilizing or contributing to open-source RF/EDA alternatives (e.g., gdsfactory, KLayout, Qucs, openEMS).
  • Simulation Scripting: Familiarity with automating RF simulations via SKILL, AEL, or Python APIs.
  • Physics-Informed ML: Interest or experience in applying ML to physics-based problems or electromagnetic modeling.

Benefits

  • Competitive Salary and Equity Package
  • Comprehensive Health, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Paid Time Off (PTO) and Sick Leave

DISCLOSURE

  • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
  • Applicants wishing to view a copy of Falcomm's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.
  • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

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