Are you passionate about artificial intelligence, machine learning, and developing innovative technology solutions? Texas Instruments is seeking a talented AI Solutions Engineer to join its dynamic team in Dallas, Texas. This is an exciting opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to projects that drive technological advancement across global markets. If you are looking for a rewarding career with competitive compensation and strong growth opportunities, this role could be the perfect fit.
Job Overview
| Field | Details |
|---|---|
| Company Name | Texas Instruments |
| Role | AI Solutions Engineer |
| Qualification | Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Engineering, or a related field |
| Job Location | Dallas, Texas, USA |
| Salary | Up to $140,000 per year |
| Work Type | Hybrid / On-site |
| Job Type | Full-Time |
| Job Level | Entry Level |
| Industry | Semiconductor Manufacturing & Technology |
Job Description
Design and build AI enabled solutions for discriminative and generative applications using a combination of classical and neural network (MLPs, RNNs, CNNs, GNNs, transformers) based machine learning algorithms. Put together efficient data pipelines, develop agents using the latest LLMs or train new networks from scratch, test with rigor and monitor deployments for accuracy and drift.
Work with partners across TI to address a wide variety of applications including design (software, digital, analog), manufacturing (process development, fabrication, testing), sales (pricing, recommendations), planning, and general productivity. Deliver robust scalable, performant, and secure solutions.
Minimum requirements:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science or a related technical field of study
- Cumulative 3.0 / 4.0 GPA or higher
Preferred Qualifications:
- AI / ML
- Master’s and / or PhD in a relevant field or equivalent experience
- Development of novel neural network related algorithms and associated publication in top technical conferences
- Design, training, and use of the latest transformer based LLMs (reasoning, agents)
- Design, training, and use of additional neural network types (MLPs, RNNs, CNNs, GNNs)
- Traditional ML based techniques (clustering, regression, trees, …)
- AI / ML based approaches to language, speech, vision, games, time series, and personalization related applications
- Programming
- Python programming and the PyTorch package
- C / C++ programming
- SQL programming
- Math
- Dense linear algebra, probability, and calculus
- Optimization theory and algorithms
- Personal
- Strong technical leadership, communication and interpersonal skills
- The ability to dream what could be and the drive to make the dream a reality
Selection Process
- Application Submission
- Resume Screening
- Technical Assessment
- Hiring Manager Interview
- Technical/Panel Interview
- HR Discussion
- Final Selection
- Offer Letter Release
How to Apply
- Visit the Texas Instruments careers website.
- Search for the AI Solutions Engineer position in Dallas.
- Review the job description and eligibility criteria.
- Prepare and update your resume.
- Complete the online application form.
- Upload the required documents.
- Submit your application.
- Monitor your email for further communication from the recruitment team.
