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Director Neural Engineering Jobs in Texas (NOW HIRING)

webAI Inc

Staff R&D AI Engineer

Austin, TX · On-site

... engineering with 4+ years focusing on deep learning and neural network development * Strong ... Direct experience developing or working with Vision-Language-Action (VLA) models or similar ...

SoFi

Fraud Model Developer

Frisco, TX · On-site

We're proud to come to work every day knowing that what we do has a direct impact on people's lives ... Partner with Engineering and machine learning platform teams to support model implementation and ...

Socket.dev

Senior Data Scientist

Frisco, TX · On-site

$128 - $180/hr

We're proud to come to work every day knowing that what we do has a direct impact on people's lives ... The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams ...

o9 Solutions, Inc.

Senior AI Architect

Dallas, TX · On-site

$128K - $174K/yr

... neural networks) and symbolic AI. * The framework and blueprints that allow hundreds of product ... Significant engineering tenure at a premier technology organization (e.g., FAANG, Uber, Slack ...

o9 Solutions, Inc.

Senior AI Architect

Dallas, TX

$128K - $174K/yr

... neural networks) and symbolic AI. * The framework and blueprints that allow hundreds of product ... Significant engineering tenure at a premier technology organization (e.g., FAANG, Uber, Slack ...

Neuralink

Preclinical Study Coordinator

Austin, TX · On-site

$31 - $53/hr

Master's degree in biology, neuroscience, biomedical engineering, animal science, or a related field. * Direct experience with neural device implantation studies or neurosurgical models. * Background ...

Texas Instruments

Data Scientist

Dallas, TX · On-site

... complex neural network. You are self-directed. You find anomaly patterns others miss, propose ... Engage directly with operational and engineering stakeholders to understand, map, and extract value ...

New

Texas Instruments

Data Scientist

Dallas, TX · On-site

... complex neural network. You are self-directed. You find anomaly patterns others miss, propose ... Engage directly with operational and engineering stakeholders to understand, map, and extract value ...

New

Kemper

Data Scientist

Dallas, TX · Hybrid

Our success is a direct reflection of the talented and diverse people who make a positive ... Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.). * Proficiency ...

Kemper

Data Scientist

Austin, TX · Hybrid

Our success is a direct reflection of the talented and diverse people who make a positive ... Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.). * Proficiency ...

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Showing results 21-40

All JobsNeural Engineering JobsDirector Neural Engineering JobsDirector Neural Engineering Jobs in Texas

Director Neural Engineering information

What is the difference between Director Neural Engineering vs Neural Engineer?

AspectDirector Neural EngineeringNeural Engineer
Required CredentialsAdvanced degrees (PhD or MS), leadership experienceBachelor's or Master's in engineering, neuroscience, or related fields
Work EnvironmentLeadership roles in R&D teams, strategic planningHands-on research, development, and testing
Employer & Industry UsageResearch institutions, biotech, medical device companiesResearch labs, startups, healthcare organizations
Common Search & ComparisonLeadership, strategy, project managementTechnical skills, research focus

The main difference between a Director Neural Engineering and a Neural Engineer lies in their roles and responsibilities. The Director typically oversees projects, manages teams, and sets strategic goals, requiring advanced degrees and leadership experience. Neural Engineers focus on hands-on research and development, applying technical skills to design and test neural interfaces or algorithms. Both roles are vital in the neural engineering field but differ in scope and seniority.

How much money do neural engineers make?

Neural engineers, including those in neural engineering roles, typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior positions or those with specialized skills in neural interfaces or brain-computer interfaces can earn higher salaries, often exceeding $180,000. Industry demand for expertise in neural signal processing and neurotechnology tools influences compensation levels.
What are the most commonly searched types of Neural Engineering jobs in Texas? The most popular types of Neural Engineering jobs in Texas are:
What are popular job titles related to Director Neural Engineering jobs in Texas? For Director Neural Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Director Neural Engineering jobs in Texas look for? The top searched job categories for Director Neural Engineering jobs in Texas are:
What cities in Texas are hiring for Director Neural Engineering jobs? Cities in Texas with the most Director Neural Engineering job openings:
Director Neural Engineering jobs near you
Infographic showing various Director Neural Engineering job openings in Texas as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Staff R&D AI Engineer

webAI Inc

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 21 days ago

Job description

About Us:
We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.
Role Overview:
As a Staff R&D AI Engineer, you will lead the development of cutting-edge AI systems that bridge computer vision, natural language understanding, and action learning. You'll architect and implement Vision-Language-Action (VLA) models, advance reinforcement learning applications, and push the boundaries of multimodal AI integration. This role combines deep expertise in both computer vision and large language models with hands-on experience in reinforcement learning to create intelligent systems that can understand, reason about, and interact with complex environments. You'll drive research initiatives, mentor technical teams, and translate breakthrough AI research into practical applications across diverse domains.
Key Responsibilities:
  • Design and develop Vision-Language-Action (VLA) models that integrate visual perception, natural language understanding, and action prediction
  • Architect and implement reinforcement learning systems for sequential decision-making, including policy learning and skill acquisition
  • Build and optimize computer vision pipelines for perception tasks, including object detection, segmentation, tracking, and scene understanding
  • Develop and fine-tune large language models for instruction following, reasoning, and task planning applications
  • Implement RLHF (Reinforcement Learning from Human Feedback) systems to improve model alignment and safety
  • Create multimodal training pipelines that leverage synthetic and real-world data for robust model performance
  • Research and prototype novel AI architectures that combine vision, language, and action learning
  • Collaborate with engineering teams to integrate AI models into applications and validate performance across domains
  • Optimize model inference performance for real-time applications across edge and cloud deployments
  • Lead technical initiatives, mentor junior AI engineers, and establish best practices for AI model development
  • Stay current with latest research in VLA models, multimodal AI, and robotics to drive innovation roadmap
  • Present findings at conferences and publish research to advance the field

Qualifications & Skills:
  • 7+ years of experience in AI/ML engineering with 4+ years focusing on deep learning and neural network development
  • Strong understanding of reinforcement learning algorithms and their applications (PPO, SAC, TD3, etc.)
  • Strong expertise in both computer vision and natural language processing with hands-on model development experience
  • Proficiency in PyTorch and/or TensorFlow with experience training and deploying large-scale models
  • Experience with transformer architectures, attention mechanisms, and large language model fine-tuning
  • Hands-on experience with computer vision tasks including object detection, semantic segmentation, and visual tracking
  • Strong programming skills in Python with experience in distributed training and model optimization
  • Understanding of sequential decision-making and control systems fundamentals
  • Experience with MLOps practices including model versioning, monitoring, and deployment pipelines
  • Proven ability to work independently on complex research problems and deliver practical solutions
  • Strong communication skills and experience collaborating with cross-functional engineering teams

Preferred Qualifications:
  • PhD in Computer Science, Robotics, AI/ML, or related field with focus on multimodal learning or robotics
  • Direct experience developing or working with Vision-Language-Action (VLA) models or similar multimodal architectures
  • Experience with RLHF implementation and human feedback integration for model alignment
  • Background in imitation learning, inverse reinforcement learning, or learning from demonstrations
  • Experience with real-world system deployment and sim-to-real transfer techniques
  • Knowledge of 3D computer vision, spatial reasoning, or multi-modal perception systems
  • Experience with distributed training frameworks (DeepSpeed, FairScale, Horovod) and large-scale model training
  • Familiarity with edge AI deployment and model optimization techniques (quantization, pruning, distillation)
  • Experience with embodied AI research or projects involving agent-environment interaction
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CoRL, etc.)
  • Open-source contributions to major AI/ML frameworks or robotics projects
  • Startup experience with ability to rapidly prototype and iterate on AI solutions
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies
  • Background in safety-critical AI systems or AI alignment research

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:
We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
  • Competitive salary
  • Comprehensive health, dental, and vision benefits package
  • 401(k) match
  • Equity options
  • $200/month Health & Wellness stipend
  • Continuing Education support
  • $500/year Function Health subscription
  • Free parking for in-office employees
  • Flexible Time Off (FTO)
  • Parental leave for eligible employees
  • Supplemental life insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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