ZipRecruiter

Log In

1

Neural Engineer Jobs in Arizona (NOW HIRING)

Pwc

AI & GenAI Data Scientist-Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... neural network design and reinforcement learning agents - Applying natural language processing ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

... neural network mechanisms underlying neuropsychiatric disorders, such as cognitive impairment and ... D., degree in physics, chemistry, biophysics, biochemistry, biomedical engineering, computer ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

... neural network mechanisms underlying neuropsychiatric disorders, such as cognitive impairment and ... D., degree in physics, chemistry, biophysics, biochemistry, biomedical engineering, computer ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ

$67K - $78K/yr

... neural network mechanisms underlying neuropsychiatric disorders, such as cognitive impairment and ... D., degree in physics, chemistry, biophysics, biochemistry, biomedical engineering, computer ...

Mayo Clinic

Research Fellow-Psychiatry

Phoenix, AZ · On-site

... neural network mechanisms underlying neuropsychiatric disorders, such as cognitive impairment and ... D., degree in physics, chemistry, biophysics, biochemistry, biomedical engineering, computer ...

Varsity Tutors

Machine Learning Tutor

Scottsdale, AZ · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Phoenix, AZ · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Tempe, AZ · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Chandler, AZ · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Glendale, AZ · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Mesa, AZ · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Gilbert, AZ · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Tucson, AZ · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

next page

Showing results 1-20

All JobsNeural Engineer JobsNeural Engineer Jobs in Arizona

Neural Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do neural engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for neural engineer in Arizona is $104,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,500.00 per year, depending on experience, location, and employer.

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 work in healthcare, biotech, or academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and brain-machine communication.

What does a neural engineer do?

A neural engineer designs and develops technologies to interface with the nervous system, such as brain-computer interfaces, neural implants, and signal processing algorithms. They often work with neuroscience, biomedical engineering, and programming tools to create solutions for medical, research, or prosthetic applications.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require advanced degrees, certifications, and expertise in high-demand areas or management responsibilities.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

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.

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 in the Neural Engineer position, and why are they important?

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 are the most commonly searched types of Neural Engineer jobs in Arizona? The most popular types of Neural Engineer jobs in Arizona are:
What are popular job titles related to Neural Engineer jobs in Arizona? For Neural Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Arizona look for? The top searched job categories for Neural Engineer jobs in Arizona are:
What cities in Arizona are hiring for Neural Engineer jobs? Cities in Arizona with the most Neural Engineer job openings:
Neural Engineer jobs near you

Swarm Engineer - Multi-Agent Task Planning

Swarmbotics AI

Phoenix, AZ • On-site

Full-time

Posted 18 days ago

Job description

Company background
Swarmbotics AI is a low-cost, swarm robotics company for industry and defense. We see a world of ubiquitous low-cost robots transforming almost all aspects of society, but we see an urgent need in the defense industry. We focus on building swarms of robots that incorporate a low-cost BOM, an autonomous stack optimized for off the shelf components, and a global planner that enables swarm capabilities for groups of robots to accomplish sophisticated tasks.
Our first product is a defense application building Unmanned Ground Vehicles (UGVs), collectively termed - Attritable, Networked, Tactical Swarm (ANTS). Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility. When operating as a swarm, ANTS is capable of executing more advanced and coordinated, high-level capabilities across a battlespace. ANTS will help solve some of the DoD's biggest problems that will save lives and increase defense capabilities.
Stephen Houghton and Drew Watson are the Founders and have decades of experience in self-driving cars and trucks, humanoids, and UAVs with experience from NASA, JPL, Cruise, Embark, McKinsey, Amazon, and the CIA.
Job description
Swarmbotics AI is seeking a Machine Learning Engineer to design, develop, and deploy a **multi-modal action model** that enables each UGV to select and execute coordinated swarm macro-actions in real time. This role sits at the intersection of machine learning and multi-agent decision making: you will build learned models that reason over multi-modal inputs to perform tactical macro-actions.
This is not a perception role. The core focus is on the decision-making and action-selection layers - training models that translate situational awareness into intelligent swarm behavior. You will work closely with company leadership and cross-functional teams to align capabilities with the Swarmbotics AI product roadmap.
What You'll Do
  • Architect, train, and iterate on multi-modal action models that select swarm-level tactical macro-actions from rich contextual inputs
  • Design model architectures that fuse heterogeneous inputs - local perception, swarm state, mission objectives - into a unified decision representation
  • Develop and apply online and offline reinforcement learning approaches, including transformer-based sequence modeling, to learn swarm coordination policies
  • Optimize models to run real-time on edge devices through quantization, distillation, and efficient architecture design
  • Build and maintain the full pipeline from data collection and curation through training, evaluation, and field deployment
  • Integrate the action model into the broader autonomy stack alongside navigation, planning, and swarm coordination subsystems
  • Deploy and validate trained models on physical UGV swarms in field environments
  • Write robust Python and C++ code

Required qualifications
  • Strong mathematical foundation in neural networks, transformers, reinforcement learning, and statistics
  • Proficiency in Python and C++
  • Experience with PyTorch or TensorFlow
  • Experience training and deploying models that produce **actions or macro-actions** (e.g., online or offline reinforcement learning, planning-as-inference, VLA models, or similar) - not solely classification or perception
  • Familiarity with multi-agent coordination concepts: task allocation, distributed decision-making, or swarm behaviors
  • Experience optimizing and deploying ML models on resource-constrained or edge hardware

Preferred qualifications
  • Hands-on experience with policy gradient methods such as PPO
  • Experience with multi-agent task planning algorithms (task allocation, scheduling, auction-based methods)
  • Familiarity with ONNX, TensorRT, and edge deployment toolchains
  • Prior robotics experience, autonomous driving background, or work with unmanned systems
  • Experience with simulation environments and synthetic data generation for training multi-agent policies
  • Experience owning an entire data-to-production model pipeline
  • Academic publications in related fields (e.g., NeurIPS, AAAI, IROS, ICRA, JAIR)
  • Experience with a CatBs framework is preferred but not required

The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.
The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.

Apply