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System Engineer

4 months ago


Dallas, Texas, United States Texas Instruments Full time

Description

We can't predict what the future holds, but we know Texas Instruments will have a part in shaping it.

Do you want to work for an organization that values your opinion? Do you want to work for an organization where you can play a pivotal role in several different areas? Look no further. As a Texas Instruments (TI) Systems Engineer, you will have the opportunity to work in a vibrant and dynamic team oriented environment with exposure to a variety of state-of-the art applications each day.

About the team

As a member of the Embedded Processors team, you will be working on state-of-the-art processors and microcontrollers to make the world smarter, safer, and greener. These products are the heart of autonomous and electric vehicles, intelligent robots, and energy efficient homes. They push the boundaries of technology integrating neural network accelerators, DSPs, ARM and RISC-V compute cores, networking, security, and multimedia. You will help build products that will transform the world by making technology affordable and accessible for all.

About the job

As a Systems Engineer, you will be responsible for creating algorithms, writing software, and proposing hardware to address current and forward-looking customer applications. You will work with business leaders, algorithm experts, software engineers, and hardware designers to create innovative solutions that balance general applicability with specific optimality.

Qualifications

Minimum requirements:

  • Bachelor's degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Computer Engineering, or related field
  • 5 years of relevant experience

Preferred qualifications:

  • Experience with convolutional neural networks (CNNs) and transformers
  • Experience with supervised / self supervised deep learning and reinforcement learning
  • Familiarity with vision, speech, audio, language, or controls applications
  • The ability to design and train neural networks in PyTorch / Python
  • The ability to implement algorithms in C and C
  • A background in machine learning / deep learning
  • A background in signal processing, communications, or controls
  • An understanding of graph compilers and neural network accelerators

Why TI?

  • Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
  • We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
  • Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.

About Texas Instruments

As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

If you are interested in this position, please apply to this requisition.

Status Regular

Job: Engineering - Product Dev

Primary Location: US-TX-Dallas

Work Locations: Dallas > South Campus Dallas

Req ID: 240000W8