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Neural Engineer Jobs in Texas (NOW HIRING)

Hp

Senior Software Engineer

Spring, TX · On-site

$109K - $143K/yr

Senior Software Engineer Description - HP is seeking a Senior Software Engineer to help develop ... Deep neural networks * Model size reduction * Synthetic photorealistic image data generation

Koch Industries

Machine Learning Engineer

Austin, TX · On-site

$170K - $250K/yr

Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning ... Design and train surrogate models (neural networks, Gaussian processes, gradient-boosted trees ...

3B Staffing LLC

AI/ML ENGINEER

Dallas, TX · On-site

$113K - $136K/yr

Expert level programming skills in Python and experience with Data Science and ML packages and ... Experience building AI/ML products using technologies such as LLMs, neural networks and others.

New

3B Staffing LLC

AI/ML ENGINEER

Dallas, TX · On-site

$113K - $136K/yr

Expert level programming skills in Python and experience with Data Science and ML packages and ... Experience building AI/ML products using technologies such as LLMs, neural networks and others.

New

Apple

SoC Power Spec Engineer

Austin, TX · On-site

As part of our Silicon Engineering group, you will generate ideas and turn them into reality. You ... Your main responsibilities will be: -Modeling power dissipation at the SOC level, including Neural ...

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Neural Engineer information

See Texas salary details

$55.4K

$104K

$189.1K

How much do neural engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for neural engineer in Texas is $104,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,400.00 per year, depending on experience, location, and employer.

What does a neural engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

What are the key skills and qualifications needed to thrive as a neural engineer?

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What types of projects and collaborations can a neural engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

How much does a neural engineer make?

The average salary for a neural engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals in this field often hold advanced degrees in neuroscience, engineering, or related areas and work in research institutions, healthcare, or tech companies specializing in brain-computer interfaces and neural technologies.

Is neural engineering a good career?

Neural engineering is a growing field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovative medical solutions and interdisciplinary work.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often find employment in healthcare, biotech, and academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and cognitive enhancement.

What are the most commonly searched types of Neural Engineer jobs in Texas?

The most popular types of Neural Engineer jobs in Texas are:

What are popular job titles related to Neural Engineer jobs in Texas?

For Neural Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Neural Engineer jobs in Texas look for?

The top searched job categories for Neural Engineer jobs in Texas are:

What cities in Texas are hiring for Neural Engineer jobs?

Cities in Texas with the most Neural Engineer job openings:

Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in Texas as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $104,002 per year, or $50 per hour.

Senior Software Engineer

HP Development Company, L.P.

Spring, TX • On-site

$109K - $143K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 17 days ago

Job description

Senior Software Engineer
Description -
HP is seeking a Senior Software Engineer to help develop software platforms within HP's device and services ecosystem. This role will contribute to the design, implementation, integration, and validation of modern software experiences that span client applications, backend services, cloud integrations, device interfaces, and enterprise-ready workflows.
This role offers the opportunity to work in a start-up-like incubation environment within HP's PC Design team - moving quickly, solving ambiguous product challenges, and helping build new products that integrate edge AI into next-generation PC experiences. You will work closely with customers and cross-functional partners to understand real-world needs, incorporate feedback into product development, and help translate early concepts into scalable, production-quality software.
Ideal candidates should have demonstrated excellence e.g. successful shipped new products/features at scale, significant contributions to important open-source projects - in two or more of the following areas:
  • Large language models,

  • Computer vision models,

  • Speech recognition and synthesis,

  • Audio-video multimodal models

  • Human computer intelligent interactions

  • Deep neural networks

  • Model size reduction

  • Synthetic photorealistic image data generation

  • Robotics

  • Embedded systems

  • Cloud computing

  • AI Agents

  • Other relevant technologies (do tell us about them!)

This role requires strong technical judgment, practical problem-solving skills, and the ability to build reliable software in a fast-moving product development environment.
You will collaborate closely with cross-functional teams across software architecture, UX, product management, hardware engineering, security, manageability, validation, DevOps, systems engineering, and AI/ML engineering to deliver scalable, high-quality software capabilities.
Key Responsibilities
  • Design, develop, and maintain full-stack software features across frontend applications, backend services, local application components, cloud-connected workflows AI-enabled platform capabilities.

  • Integrate, evaluate, and deploy machine learning models - including LLMs, vision models, and audio models - into production software, covering data preprocessing, inference pipelines, evaluation, and monitoring.

  • Work with audio-video and multimodal models to enable capabilities such as meeting understanding, video summarization, audio-visual speaker attribution, and cross-modal search.

  • Fine-tune and adapt pre-trained models for product-specific use cases, and define the datasets, benchmarks, and quality metrics used to measure and improve them.

  • Design and implement agentic and retrieval-augmented (RAG) workflows that combine LLMs, tool use, and enterprise data sources.

  • Design, build, and evaluate agentic AI workflows - task decomposition, planning and reasoning loops, tool and function calling, memory and context management, and multi-agent orchestration - that automate real user workflows end to end.

  • Integrate machine learning models with cloud-based platforms and/or embedded systems for deployment in production environments.

  • Define guardrails, evaluation harnesses, and observability for agentic systems, including failure handling, human-in-the-loop checkpoints, cost and latency budgets, and reliability metrics.

  • Develop automated tests and contribute to CI/CD, build pipelines, code signing, packaging, and release readiness.

  • Stay updated with the latest advancements in machine learning, computer vision, robotics, and related fields to drive innovation within the organization.

  • Mentor junior team members and actively participate in knowledge sharing activities.

Education and Experience
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Machine Learning, Mathematics, or equivalent practical experience.

  • 4-8 years of full-stack software development experience across frontend, backend, and application-level development.

  • Hands-on experience building, fine-tuning, or deploying machine learning models in production systems

Knowledge and Skills
  • Experience building modern frontend applications using technologies such as Angular, React, TypeScript, JavaScript, HTML, and CSS.

  • Backend development experience with one or more languages such as C++, Rust, Python, C#, Node.js, Go, or similar.

  • Experience integrating AI services, including LLMs and modern AI APIs.

  • Hands-on machine learning experience with frameworks such as PyTorch, TensorFlow / TensorFlow Lite, ONNX Runtime, or Hugging Face Transformers, including model inference, fine-tuning, and evaluation.

  • Experience designing multi-agent and long-running agentic pipelines with state management, retries, deterministic recovery, and evaluation of end-to-end task success.

  • Experience with LLMs, Vision Language, and speech models

  • Understanding of deep neural networks and model optimization techniques such as quantization, pruning, distillation, and model size reduction for edge and on-device deployment.

  • Experience deploying and serving models in cloud and edge environments (AWS, Azure, or Google Cloud, containerized inference, GPU/NPU acceleration).

  • Strong Python skills, with practical experience in data preprocessing, dataset creation, and model evaluation metrics.

  • Experience developing Windows desktop applications, APIs, and cloud-connected software.

  • Strong debugging, performance optimization, and software troubleshooting skills.

  • Experience with Git, CI/CD pipelines, automated testing, and modern software development practices.

  • Strong written and verbal communication skills with the ability to work effectively across global, cross-functional engineering teams.

Preferred
  • Experience with Tauri, WebView, WebRTC, PowerShell, COM, or native Windows development.

  • Experience with Microsoft Graph, Azure, Microsoft Intune, ADMX/Group Policy, or enterprise device management.

  • Experience building and deploying real-time and streaming audio pipelines - audio capture, resampling, chunking, buffering, WebSocket/gRPC streaming, and low-latency inference.

  • Experience with enterprise manageability solutions (MS Intune, ADMX/Group Policy, HP WXP or similar MDM/UEM platforms)

  • Experience building telemetry, diagnostics, resource monitoring, benchmarking, and test automation frameworks.

  • Experience with authentication, identity, SSO, and enterprise integrations.

  • Experience with LLM application patterns such as RAG, function/tool calling, agentic pipelines, and prompt/context optimization.

  • Experience running local or on-device inference on NPUs and accelerators (Windows ML/DirectML, OpenVINO, TensorRT, CoreML, or vendor NPU toolchains).

  • Experience with computer vision - object detection, OCR and document digitization, pose estimation, or depth/3D estimation.

  • Experience with speech synthesis (TTS), audio enhancement, or noise suppression.

  • Experience with MLOps tooling for experiment tracking, dataset versioning, model registries, and continuous model evaluation.

The pay range for this role is $165,450 to $259,750 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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