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Internship Optimization Engineer Jobs in Austin, TX

... original programming, data, and technology to help sports grow their audiences and build ... Make use of editorial best practices for tagging, search engine optimization, and crosslinking

Master degree in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering ... internships or full-time employment. * Design technology co-optimization (DTCO). * Post-Si ...

OR 2+ years of professional experience in software engineering in lieu of a degree (internship ... Strong skills in debugging, performance optimization, and testing * Experience with security issues ...

CPU RTL Design Engineer

Austin, TX · On-site

$141K - $269K/yr

By contributing to the development and optimization of logic structures, you will help create ... internship experiences. Minimum Qualifications: Bachelor's degree in electrical engineering ...

Showing results 21-40

Internship Optimization Engineer information

See Austin, TX salary details

$10

$19

$29

How much do internship optimization engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for internship optimization engineer in Austin, TX is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $20.72 per hour, depending on experience, location, and employer.

What is the difference between Internship Optimization Engineer vs Data Analyst Intern?

AspectInternship Optimization EngineerData Analyst Intern
Required CredentialsRelevant degree in engineering, data science, or related fields; some internships may require basic programming skillsDegree in statistics, mathematics, computer science, or related fields; basic data analysis skills needed
Work EnvironmentTech companies, e-commerce, or logistics firms focusing on process and system optimizationBusiness, finance, or tech companies analyzing data to support decision-making
Employer & Industry UsageUsed in industries emphasizing operational efficiency and system improvementsCommon in industries relying on data insights for strategic decisions

While both roles involve working with data and technical skills, the Internship Optimization Engineer focuses on improving operational processes and system performance, often requiring engineering or technical backgrounds. In contrast, Data Analyst Interns primarily analyze data sets to generate insights. Both roles are valuable entry points in tech and data-driven industries, but they serve different core functions.

What job categories do people searching Internship Optimization Engineer jobs in Austin, TX look for? The top searched job categories for Internship Optimization Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Internship Optimization Engineer jobs? Cities near Austin, TX with the most Internship Optimization Engineer job openings:

Mechanical Engineer, Surgery & Robotics

Neuralink

Austin, TX • On-site

$83K - $224K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago


Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Surgery & Robotics Hardware Team is looking for Mechanical Engineers who want to advance the future of healthcare solutions with technology. At Neuralink we recognize that increasing healthcare costs, lack of access, and insufficient numbers of neurosurgeons globally require new approaches to enable greater access to our devices. To address these challenges we design fully autonomous robotics systems, human assistive surgical tools, and design entire surgical suites in order to provide better experiences for our customers.
Our team works on our surgical robot system which aims to fully automate the implantation of the Neuralink implant. We design and integrate multi-axis robotic arms, perception systems including custom imaging hardware, optical coherence tomography tissue imaging, power electronics, and safety systems such as 3D spatial mapping/object avoidance sensors. Robotics is part of a larger system of tools we work on. For example, using pre-op MRI scans we generate patient anatomy data that we later use in surgery to register precise surgery site locations.
In addition to research and development of modern surgical technology, we also are responsible for bringing these technologies to market. We perform full lifecycle testing for all devices we design and ultimately manufacture them for use in human surgeries. To date, our designs have served over 20 individuals, and in the coming years our designs will serve thousands of individuals who wish to use our implant technology.
Job Description and Responsibilities:
As a Mechanical Engineer on the Robot Hardware Team, you will design and scale complex mechanical assemblies. You will utilize creative design and out-of-the-box thinking while navigating requirements pertaining to extremely high precision, sterility, biocompatibility, manufacturability and more. You will work closely with Neurosurgeons, OR staff, manufacturing teams, suppliers, and other engineers to deliver a critical part of a system poised to change the lives of many. Among other things, your responsibilities will include:
  • Designing, developing, validating, and shipping complex mechanical assemblies and actuators for surgical robots
  • Rapidly and effectively building systems to meet project goals
  • Applying analytical methods, including calculations and simulations, for the design and optimization of actuators and structures.
  • Conducting FMEAs, user testing, and more to make the safest product possible
  • Working with QA and Test teams to define release criteria, verification and validation tests, and more

Required Qualifications:
  • Minimum of 3 years of mechanical engineering industry experience, including internships and project teams where you owned products from concept to production
  • Strong understanding of engineering first principles
  • Bachelor's degree in science or engineering, or equivalent experience and ability

Preferred Qualifications:
  • Experience designing space-constrained multi-DoF actuated devices
  • Experience designing with sensing devices (optical, strain, RFID, etc)
  • Experience scaling designs from low to mid volume production
  • Proficiency with conventional machining and rapid prototyping technologies

Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$83,000-$224,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded