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Ece Engineer Jobs in Texas (NOW HIRING)

Texas Instruments

System Engineer | MSP

Dallas, TX · On-site

Bachelor's degree in Electrical Engineering, ECE, Computer Engineering or comparable degree * 3 years of relevant engineering experience * Strong understanding of analog/mixed-signal IC's and their ...

Tenstorrent

Staff Engineer, Physical Design

Austin, TX · On-site

$100K - $500K/yr

What We Need * BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing ... Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable ...

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All JobsEce Engineer JobsEce Engineer Jobs in Texas

Ece Engineer information

See Texas salary details

$39.6K

$97.5K

$168.2K

How much do ece engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ece engineer in Texas is $97,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $121,100.00 per year, depending on experience, location, and employer.

What are some typical challenges ECE engineers face when working on interdisciplinary projects?

ECE Engineers often collaborate with professionals from fields like software development, mechanical engineering, and data science. One common challenge is ensuring effective communication across teams, as each discipline may use different technical jargon and have unique priorities. ECE Engineers need to bridge these gaps by translating complex electrical concepts into accessible terms and aligning project goals. Developing strong teamwork and project management skills can help navigate these interdisciplinary environments and lead to successful outcomes.

What are the key skills and qualifications needed to thrive as an ECE engineer?

To thrive as an ECE Engineer, you need a solid background in electronics, circuit design, signal processing, and a degree in electronics and communication engineering. Familiarity with technical tools like MATLAB, VHDL/Verilog, PCB design software, and relevant certifications such as CCNA or embedded systems are often required. Strong analytical thinking, teamwork, and effective communication are valuable soft skills in this field. These skills and qualifications are important for delivering innovative, reliable solutions in complex electronic and communication systems.

What is an ECE engineer?

ECE Engineers, or Electronics and Communication Engineers, are professionals who design, develop, and maintain electronic devices, systems, and communication networks. Their work spans fields such as telecommunications, embedded systems, signal processing, and consumer electronics. ECE Engineers play a key role in developing technologies like mobile phones, satellite communication, and Internet of Things (IoT) devices. They typically possess a strong background in mathematics, physics, and computer programming, allowing them to innovate and troubleshoot in a rapidly evolving industry.

What is the difference between Ece Engineer vs Electronics Engineer?

AspectEce EngineerElectronics Engineer
Required CredentialsBachelor's in Electronics and Communication Engineering or related fieldBachelor's in Electronics Engineering or related field
Work EnvironmentTelecommunications, consumer electronics, embedded systemsConsumer electronics, industrial equipment, communication systems
Industry UsageTelecom companies, electronics manufacturing, research labsElectronics manufacturing, automation, embedded systems

Both Ece Engineers and Electronics Engineers share similar educational backgrounds and often work in overlapping industries like electronics manufacturing and communication. However, Ece Engineers typically focus more on communication systems and embedded applications, while Electronics Engineers may work more broadly in consumer electronics and industrial automation. Understanding these distinctions helps in choosing the right career path or job search focus.

What can an ECE engineer do?

An ECE (Electrical and Computer Engineering) engineer designs, develops, and tests electronic systems, communication devices, and embedded systems. They work with hardware and software, often using tools like circuit design software and programming languages, and may specialize in areas such as telecommunications, signal processing, or embedded systems development.

What cities in Texas are hiring for Ece Engineer jobs?

Cities in Texas with the most Ece Engineer job openings:

Ece Engineer jobs near you
Infographic showing various Ece Engineer job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $97,466 per year, or $46.9 per hour.

Lead Machine Learning Inference Engineer, Advertising

Roku

Austin, TX

$101K - $133K/yr

Full-time

Re-posted 10 days ago

Job description

About the team  

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning and Inference Platform that powers the entire landscape. 

About the role  

In this role, you will architect, design, and lead the development of a SOTA Inference platform that can handle Advertising-level low latencies, scale, throughput, and availability with optimizations that span across hardware, software, and models. We're looking for a strong technical leader with deep experience in ML serving, high-performance computing, and industry standard frameworks - someone excited to mentor engineers, innovate at scale, and shape the future of machine learning at Roku.

What you'll be doing
  • Lead the design and development of a SOTA Inference platform  
  • Oversee the development of monitoring, observability, and other tooling to ensure system and model performance, reliability, and scalability of online inference services
  • Identify and resolve system inefficiencies, performance bottlenecks, and reliability issues, ensuring optimized end-to-end performance 
  • Stay at the forefront of advancements in inference frameworks, ML hardware acceleration,  and distributed systems, and incorporate innovations where and when they are impactful
We're excited if you have
  • M.S. or above in CS, ECE, or a related field 
  • 10+ years of experience in developing and deploying large-scale, distributed systems, with at least 5 years in a leadership or technical lead role  
  • Strong programming skills in high-performance languages
  • Deep understanding of inference frameworks and ML system deployment
  • Proven experience optimizing performance for large-scale machine learning systems, including a deep knowledge of SOTA model optimizations, hardware-software co-design, GPU acceleration, and HPC techniques
  • Excellent communication and collaboration skills
  • Experience leading teams working on high-throughput, low-latency ML serving systems
  • Experience collaborating with and leading global, cross-functional teams
  • Contributions to open-source ML or systems projects
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