This role blends software engineering, systems design, and large language model (LLM) orchestration ... Exposure to neural networks, signal processing, or computer vision frameworks. * Internship or ...
This role blends software engineering, systems design, and large language model (LLM) orchestration ... Exposure to neural networks, signal processing, or computer vision frameworks. * Internship or ...
AI Agent Developer I
Sparks, NV · On-site
This role blends software engineering, systems design, and large language model (LLM) orchestration ... Exposure to neural networks, signal processing, or computer vision frameworks. * Internship or ...
AI Agent Developer I
Sparks, NV · On-site
This role blends software engineering, systems design, and large language model (LLM) orchestration ... Exposure to neural networks, signal processing, or computer vision frameworks. * Internship or ...
Neural Engineering Internship information
See Reno, NV salary details
$11.03 - $12.70
2% of jobs
$12.70 - $14.38
4% of jobs
$16.06 is the 25th percentile. Wages below this are outliers.
$14.38 - $16.06
19% of jobs
$16.06 - $17.74
24% of jobs
The median wage is $17.84 / hr.
$17.74 - $19.41
17% of jobs
$20.42 is the 75th percentile. Wages above this are outliers.
$19.41 - $21.09
16% of jobs
$21.09 - $22.77
6% of jobs
$22.77 - $24.45
5% of jobs
$24.45 - $26.13
3% of jobs
$26.13 - $27.80
3% of jobs
$27.80 - $29.48
1% of jobs
$11
$19
$29
How much do neural engineering internship jobs pay per hour?
What is a Neural Engineering Internship job?
A Neural Engineering Internship provides hands-on experience in the field of neural interfaces, brain-computer interfaces (BCIs), and neuromodulation. Interns typically work on signal processing, machine learning, and hardware development for neurotechnology applications. They may assist in designing experiments, analyzing neural data, or developing medical devices. This role is ideal for students in biomedical engineering, neuroscience, or computer science who want to gain practical experience in neurotechnology.
What types of projects or tasks can I expect to work on during a Neural Engineering Internship?
As a Neural Engineering Intern, you can expect to participate in a variety of hands-on projects such as analyzing neural data, helping design and test brain-computer interface systems, or developing algorithms for neural signal processing. You may also work closely with researchers and engineers to assist in laboratory experiments, device prototyping, or software development. Many internships include literature reviews, data visualization, and the opportunity to present findings to the team. These tasks are designed to give you a comprehensive introduction to current research and industry practices within neural engineering.
What are the key skills and qualifications needed to thrive in the Neural Engineering Internship position, and why are they important?
To thrive as a Neural Engineering Intern, you need a strong background in neuroscience, biomedical engineering, or electrical engineering, along with coursework or experience in signal processing and computational modeling. Familiarity with programming languages such as MATLAB or Python and use of lab equipment like EEG, MEG, or neural recording systems are highly beneficial. Critical thinking, effective communication, and a collaborative mindset help interns excel in research-driven, multidisciplinary teams. These skills enable interns to contribute meaningfully to projects, adapt to complex challenges, and succeed in this innovative field.
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Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 13 days ago
Sierra Nevada Corporation rating
8.6
Based on 27 frontline employees who took The Breakroom Quiz
17th of 60 rated aerospace companies
Job description
Responsibilities:
- Stay up-to-date with the latest advancements in AI/ML technologies by participating in training, workshops, and team discussions..
- Develop and implement AI agents and multiagent systems capable of autonomously executing tasks, making contextdriven decisions, and interacting with external tools, APIs, databases, and external services.
- Architect and orchestrate multistep, multiagent workflows, decomposing highlevel goals into executable tasks and ensuring seamless communication, reliable tool use, and efficient coordination across complex pipelines.
- Implement logic for LLMdriven decisionmaking, including tool selection, tool chaining, fallback strategies, guardrails, and overall agent resilience.
- Build and maintain evaluation and observability frameworks to measure agent accuracy, reliability, and efficiency, while continuously monitoring production behavior and improving system robustness.
- Develop memory, retrieval, and RAG systems using vector databases or knowledge graphs to enhance agent context, reasoning, and longterm performance.
- Deploy, scale, and manage agentbased solutions on cloud platforms such as AWS, Azure, and GCP.
- Collaborate with crossfunctional teams-including product, domain experts, engineering, and security-to ensure agent capabilities align with business requirements and operational constraints.
Qualifications You Must Have:
- Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
- 0-2 years of experience in cloud engineering or a related field.
- Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 4 years of related experience is required.
- Basic programming skills in Python, C++, C# or Java.
- Understanding of foundational machine learning concepts and techniques.
- Strong analytical and problem-solving skills.
- Proficiency in prompt engineering and context design for reasoning and tool orchestration
- API and tool integration skills (REST, GraphQL, microservices)Strong analytical and problem-solving skills.
Qualifications We Prefer:
- Exposure to neural networks, signal processing, or computer vision frameworks.
- Internship or project-based experience in AI, data science, or software development.
- Familiarity with version control tools (e.g., Git).
- Exposure to Agile or DevOps methodologies through coursework or internships.
- Experience participating in team-based software development projects.
- Ability to analyze small-to-moderate datasets using standard statistical or ML methods.
Essential Functions:
- Work on a computer for extended hours performing coding, debugging, and testing.
- Attend and contribute to team meetings and brainstorming sessions.
- Travel occasionally to support testing or deployment efforts (up to 10%).
This posting will be open for application for a minimum of 5 days and may be extended based on business needs.
SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.
IMPORTANT NOTICE:
To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.Learn more about the background check process for Security Clearances.
SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!
SNC is an Equal Opportunity Employer committed to an environment free of discrimination.Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.
What Sierra Nevada Corporation employees say
Pay
Benefits
Hours and flexibility
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About Sierra Nevada
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Sparks, NV, US
Year founded
1963