Software Engineer | Aerospace & Defense

Texas Instruments•Dallas, TX

About The Position

Texas Instruments Software Engineers work primarily on embedded software, including device firmware, peripheral drivers, software frameworks, algorithms, and software development tools such as compilers, simulators, demo software, and IDEs. They contribute to TI’s whole-product offerings by making products easier to use and helping customers get them up and running quickly. The role partners closely with product development and demand creation teams on pre-silicon software design and requirements, software validation, and testing. It also considers backward and cross-compatibility and software reuse. Software Engineers may work directly with customers to address issues and provide ongoing support through regular software releases, quality assurance, and release management. In the Aerospace & Defense context, the role involves embedded firmware and signal-processing work, with opportunities to develop and optimize algorithms for edge applications.

Requirements

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

Nice To Haves

Experience with digital signal-processing 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.
Proven 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, including working effectively with people in different functions.
Self-motivated and results-oriented approach, with initiative and a drive for results.
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 and ability to deliver projects on time.
Ability to work effectively in a fast-paced and rapidly changing environment.

Responsibilities

Define requirements and perform design, development, testing, integration, and support of embedded software and software development tools.
Follow the software development methodology and practices established 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 work.
Create and maintain customer collateral for software products and deliverables.
Work closely with TI silicon, hardware, and software teams and customers throughout the software life cycle.
Perform quality assurance and configuration and release management.
Provide customers with ongoing support and regular software releases as needed.