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Compression Internship Jobs in Texas (NOW HIRING)

Resolve Tech Solutions

Junior Engineering Intern

Addison, TX · On-site

$16.25 - $21/hr

Throughout your internship, you'll work alongside experienced engineers to enhance your skills and ... data compression, machine learning, and search technologies, with a focus on applying these ...

Resolve Tech Solutions

Junior Engineering Intern

Addison, TX · On-site

$16.25 - $21/hr

Throughout your internship, you'll work alongside experienced engineers to enhance your skills and ... data compression, machine learning, and search technologies, with a focus on applying these ...

Crescent Energy

Operations Engineer

Midland, TX · On-site

$68K - $92K/yr

Evaluate and optimize compression systems, injection systems, and gas-lift infrastructure to ensure ... Mentor junior engineers, interns, and field personnel through structured training sessions and ...

Shannon Health

Biomedical Tech I

San Angelo, TX

... compression devices, suction regulators, and various non-specialized medical devices. Supervises ... HTM Internship- 1 year (Healthcare Technology Management BMET) * 1-2 years in Electronics ...

Crescent Energy

Operations Engineer

Midland, TX · On-site

$68K - $92K/yr

Evaluate and optimize compression systems, injection systems, and gas-lift infrastructure to ensure ... Mentor junior engineers, interns, and field personnel through structured training sessions and ...

Shannon Health

Biomedical Tech I

San Angelo, TX · On-site

... compression devices, suction regulators, and various non-specialized medical devices. Supervises ... HTM Internship- 1 year (Healthcare Technology Management BMET) * 1-2 years in Electronics ...

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Compression Internship information

Is 23 an hour good for an internship?

For a Compression Internship, earning $23 an hour is generally considered above average for internships, which often pay between minimum wage and $20 per hour. The pay rate can vary based on location, industry standards, and required skills such as knowledge of compression systems or related tools. It is important to consider the internship's responsibilities and whether the compensation aligns with local living costs and industry norms.

Is a 3.4 GPA good for internships?

For a Compression Internship, a 3.4 GPA is generally considered acceptable, especially if complemented by relevant skills, coursework, or project experience. Many employers value practical abilities and problem-solving skills alongside GPA, so strong technical knowledge and a good work ethic can enhance your application.

What are the key skills and qualifications needed to thrive as a Compression Intern, and why are they important?

To succeed as a Compression Intern, you need a solid background in computer science fundamentals, algorithms, and data structures, often supported by progress toward a relevant degree. Familiarity with programming languages like C++ or Python and experience using source control systems such as Git are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns tackle technical challenges and collaborate with team members. These skills and qualities are crucial for contributing to data compression projects and learning effectively in a technical internship environment.

What is a Compression Internship?

A Compression Internship is a temporary, hands-on learning position where interns work with data compression algorithms, techniques, and software systems. Interns typically assist in developing, optimizing, or testing methods that reduce the size of data for storage or transmission. These roles are often found in tech companies that handle large amounts of data, such as streaming services or cloud storage providers. The internship offers practical experience in computer science fields like signal processing, machine learning, and software engineering. It is ideal for students or recent graduates interested in systems performance and efficiency.

What can I expect from the team environment and mentorship during a Compression Internship?

During a Compression Internship, you can expect to work closely with experienced engineers and data scientists, often in a collaborative team setting focused on optimizing algorithms and data storage solutions. Interns typically receive mentorship through regular check-ins, code reviews, and project guidance, which helps build both technical and problem-solving skills. The environment is usually fast-paced and encourages learning, with opportunities to contribute to real projects, ask questions, and participate in team discussions. This structure not only supports your technical growth but also helps you develop professional communication and teamwork abilities.

Is 22 too old for an internship?

There is no age limit for a compression internship or similar entry-level roles. Employers often value skills, enthusiasm, and relevant education over age, so being 22 is generally considered a suitable age to start an internship in this field.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience for those pursuing careers in accounting, finance, and consulting. Internships at these firms often require strong academic performance, relevant skills, and may lead to full-time employment opportunities.

What is the difference between Compression Internship vs Compression Engineer?

AspectCompression InternshipCompression Engineer
Required CredentialsTypically pursuing or recent graduate in engineering or related fieldBachelor's or Master's in Mechanical, Civil, or Petroleum Engineering
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, project management, design, and analysis
Employer & Industry UsageOil & gas, manufacturing, energy sectorsOil & gas, energy, industrial sectors

The Compression Internship provides hands-on experience for students or recent graduates, focusing on learning and supporting compression systems. In contrast, a Compression Engineer is a full-time professional responsible for designing, analyzing, and maintaining compression equipment. While internships are temporary and educational, engineers hold permanent roles with greater responsibilities.

What are the most commonly searched types of Compression jobs in Texas? The most popular types of Compression jobs in Texas are:
What are popular job titles related to Compression Internship jobs in Texas? For Compression Internship jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Compression Internship jobs in Texas look for? The top searched job categories for Compression Internship jobs in Texas are:
What cities in Texas are hiring for Compression Internship jobs? Cities in Texas with the most Compression Internship job openings:
Compression Internship jobs near you
Infographic showing various Compression Internship job openings in Texas as of July 2026, with employment types broken down into 2% As Needed, 82% Full Time, 8% Part Time, 5% Contract, and 3% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.
Signal Processing Engineer

Signal Processing Engineer

Neuralink

Austin, TX • On-site

$121K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 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.
Job Summary
We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this role, you will create efficient, hardware-friendly algorithms that run directly on custom SoCs, enabling real-time processing with constraints on power, latency, area, and throughput. You will collaborate closely with the SoC, Firmware, and Machine Learning teams to translate high-level signal processing needs into production-ready solutions.
Key Responsibilities
  • Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g. spike detection), monitoring cortical electrode health, and more.
  • Design and develop numerical algorithms, such as custom data compression to increase radio throughput.
  • Develop fixed-point or quantized versions of algorithms optimized for constrained hardware.
  • Implement and verify algorithms in high-level languages and transition them to hardware-friendly representations.
  • Perform algorithm-to-architecture mapping: analyze trade-offs between accuracy, latency, power, and resource utilization on the SoCs.
  • Collaborate with the digital design team to define micro-architectures for custom on-chip processing pipelines, including dataflow, pipelining, and parallelization.
Required Qualifications
  • Education: BS, MS or PhD in Electrical Engineering, Computer Engineering, Signal Processing, or a related field.
  • Experience: 3+ years in digital signal processing algorithm development or real-world products, with a focus on embedded or hardware-constrained implementations.
  • Fluent in signal processing fundamentals (both analog and digital) and strong numerical capabilities.
  • Familiarity with fixed-point arithmetic, quantization effects, and numerical precision trade-offs.
  • Proficiency in Python and C for algorithm prototyping and simulation.
Preferred Qualifications
  • Hands-on experience with Verilog/VHDL, or transitioning algorithms to RTL.
  • Experience with dedicated DSP cores or accelerators.
  • Track record of optimizing for power/area/latency in resource-constrained environments.

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:
$121,000 - $230,500
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

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