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Signal Processing Engineer Entry Level Jobs in Austin, TX

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Showing results 21-40

Signal Processing Engineer Entry Level information

See Austin, TX salary details

$53K

$130.2K

$191.8K

How much do signal processing engineer entry level jobs pay per year?

As of Aug 14, 2026, the average yearly pay for signal processing engineer entry level in Austin, TX is $130,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $146,200.00 per year, depending on experience, location, and employer.

What is the difference between Signal Processing Engineer Entry Level vs Communications Engineer Entry Level?

AspectSignal Processing Engineer Entry LevelCommunications Engineer Entry Level
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related field; knowledge of DSP, MATLAB, and programming languagesBachelor's in Electrical Engineering, Telecommunications, or related; understanding of networking, RF, and signal transmission
Work EnvironmentResearch labs, R&D departments, tech companies focusing on audio, image, or sensor data processingTelecom companies, network providers, wireless service firms working on communication systems
Employer & Industry UsageUsed in industries developing signal algorithms, sensor systems, and multimedia processingApplied in industries designing and maintaining communication networks and wireless systems

While both roles require a background in electrical engineering and related certifications, Signal Processing Engineers focus on developing algorithms for data analysis and sensor systems, whereas Communications Engineers specialize in designing and maintaining communication networks. The roles often overlap in technical skills but differ in application focus and industry environment.

What are popular job titles related to Signal Processing Engineer Entry Level jobs in Austin, TX?

For Signal Processing Engineer Entry Level jobs in Austin, TX, the most frequently searched job titles are:

What cities near Austin, TX are hiring for Signal Processing Engineer Entry Level jobs?

Cities near Austin, TX with the most Signal Processing Engineer Entry Level job openings:

Infographic showing various Signal Processing Engineer Entry Level job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,194 per year, or $62.6 per hour.

Machine Learning Engineer

Neuralink

Austin, TX

Full-time

Re-posted 9 days ago


Job description

About the Team:

The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.

About the Role:

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.

Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.

Job Responsibilities:
  • Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
  • Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
  • Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
  • Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
  • Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.
About You:
  • Experience writing production-level C/C++/Rust and Python
  • Proven track record of designing, building, and shipping real-time ML products
  • Strong foundation in signal processing, algorithms, and software engineering principles
  • Bachelor's degree in relevant field or equivalent experience

Fast forward to 40:32 to learn more about neural decoding: