AI Solutions Engineer
at Texas Instruments
Posted 2 hours ago
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**AI Solutions Engineer: Design & Build Innovative AI Solutions, Join TI's Career Accelerator Program. PhD Required.** As an AI Solutions Engineer, you'll design and build AI-enabled solutions for discriminative and generative applications, utilizing machine learning algorithms like MLPs, RNNs, CNNs, GNNs, and transformers. Your role involves creating efficient data pipelines, developing agents with the latest LLMs, or training new networks from scratch. You'll also ensure accurate deployments through rigorous testing and drift monitoring. Collaborate cross-functionally to address diverse applications such as design (software, digital, analog), manufacturing (process, fabrication, testing), sales (pricing, recommendations), planning, and general productivity. Deliver robust, scalable, performant, and secure solutions. **Requirements:** - PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field (minimum 3.0/4.0 GPA) - Preferred: Master's/PhD in AI/ML or equivalent experience
Change the world. Love your job.
In your first year with TI you’ll join the Career Accelerator Program (CAP) – a fast‑track development experience that blends professional‑skill workshops, technical training and on‑the‑job learning so you can start delivering real‑world impact from day 1.
About the job:
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:
- PhD 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
