Career Accelerator Program - AI Solutions Engineer

Texas Instruments Incorporated • Dallas, TX

50d

About The Position

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, build and verify scalable digital accelerators capable of the performant acceleration of a wide range of key neural network (MLPs, RNNs, CNNs, GNNs, transformers) layers. Create associated CPUs to efficiently cover less common neural network operations. Work with business unit partners to integrate the associated IP into a variety of SoCs across multiple process technologies.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical field of study
• Cumulative 3.0 / 4.0 GPA or higher

Nice To Haves

• Master's and / or PhD in a relevant field or equivalent experience
• Proficient in Verilog for RTL development
• Proficient in C / C++ for modeling
• Experience with EDA tools (lint, synthesis, place and route)
• High performance throughput optimized accelerator design
• Development of novel neural network related accelerators and associated publication in top technical conferences
• High performance memory sub system design
• Data streaming and data movement accelerator (DMA) design
• Matrix multiplier design supporting a variety of types (int8, fp8, bfloat16, float32)
• The ability to understand and make power, performance and area (PPA) tradeoffs
• High performance latency optimized CPU design
• RISC-V ISA familiarity
• Cache, pre fetcher and branch prediction design
• Fetch, decode, dispatch and commit design for single and super scalar architectures
• Arithmetic and logic unit (ALU) design
• Understanding of neural network based architectures (MLPs, RNNs, CNNs, GNNs, transformers)
• Python programming and the PyTorch package
• Dense linear algebra, probability, and calculus
• Strong technical leadership, communication and interpersonal skills
• The ability to dream what could be and the drive to make the dream a reality

Responsibilities

• Design, build and verify scalable digital accelerators capable of the performant acceleration of a wide range of key neural network (MLPs, RNNs, CNNs, GNNs, transformers) layers.
• Create associated CPUs to efficiently cover less common neural network operations.
• Work with business unit partners to integrate the associated IP into a variety of SoCs across multiple process technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees