Software Engineer | Aerospace & Defense

Texas Instruments•Dallas, TX

About The Position

Texas Instruments (TI) Software Engineers develop embedded software and related software development tools that support the company’s whole-product offerings. They partner with product development and demand creation teams on pre-silicon software design and requirements, software validation and testing, and compatibility and reuse. The role may also involve working directly with customers to resolve issues and provide ongoing support, regular software releases, quality assurance, and release management. For the Aerospace & Defense position, the work includes developing embedded software and tools, applying machine learning algorithms to edge applications, supporting pre-silicon design and validation, and informing hardware architecture from software usage, compatibility, performance, and reuse perspectives. Engineers collaborate with TI teams and customers throughout the software lifecycle and create and maintain customer collateral for software products and deliverables.

Requirements

Bachelor of Science degree in Electrical Engineering, Computer Engineering, Computer Science, Electrical and Computer Engineering, or a related field.
5+ years of relevant engineering or research experience.
Strong embedded firmware skills and experience, including programming knowledge in C/C++ or other systems programming languages.
Proficiency in MATLAB or Python with signal-processing applications, including strong assembly programming skills.
U.S. citizenship; U.S. citizens are the only individuals eligible for a security clearance.

Nice To Haves

Experience with digital signal processing (DSP) software, algorithms, and signal-chain development in the Aerospace & Defense sector.
Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Electrical and Computer Engineering, or a related field.
Knowledge of software engineering processes and the full software development lifecycle.
Experience with advanced signal-processing algorithms, including filter design, FFTs, FIRs, beamforming, linear algebra, 3D mesh processing, voxel processing, and computer vision algorithms.
Experience with sensor inputs such as Radar, LiDAR, CMOS sensors, Software Defined Radio (SDR), and cameras.
Demonstrated ability to optimize code on DSPs (C66x, C7x), with an in-depth understanding of their architecture.
Experience optimizing data movement within multi-level memory systems (Level 2, Level 3, and Level 4) and inter-processor communication.
Knowledge of machine-learning algorithms and optimization techniques.
Familiarity with Large Language Models (LLMs), such as Claude, for code generation.
Experience with open-source graph compilers such as TVM or ExecuTorch.
Comfort working with mathematical formulas and derivations.
Ability to quickly learn new systems and processes.
Demonstrated ability to build strong relationships with internal and external stakeholders.
Strong teamwork and collaboration skills.
Self-motivated with a results-oriented approach.
Solid foundation in digital signal processing, estimation and detection theory, probability and statistics, and linear algebra.
Excellent verbal and written communication skills.
Strong interpersonal, analytical, and problem-solving skills.
Effective time-management skills to ensure on-time project delivery.
Ability to work effectively with people in different functions and in a fast-paced, rapidly changing environment.
Ability to take initiative and drive for results.

Responsibilities

Define requirements; design, develop, test, integrate, and support embedded software and software development tools.
Follow established software development methodologies and practices for the business.
Develop and apply machine learning algorithms to edge applications, potentially using AI coding assistants to develop embedded software.
Support pre-silicon design and requirements, as well as software validation activities.
Influence hardware architecture requirements based on software usage, compatibility, performance, and reuse potential.
Use current coding languages and conduct server analysis and reporting infrastructure.
Create and maintain customer collateral for software products and deliverables.
Work closely with TI silicon, hardware, and software teams, as well as customers, throughout the software lifecycle.
Perform quality assurance and configuration and release management activities.
Provide customer support and deliver ongoing support and regular software releases.