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Internship Digital Signal Processing Engineer Jobs in California

Digital Signal processing: Design, characterize, and deliver algorithms such as channelizers ... OR a Bachelor's Degree in an Engineering discipline with 3-5 years relevant working Signal ...

Signal Processing Engineer

El Segundo, CA · On-site

$140K - $190K/yr

Digital Signal processing: Design, characterize, and deliver algorithms such as channelizers ... OR a Bachelor's Degree in an Engineering discipline with 3-5 years relevant working Signal ...

Digital Signal processing: Design, characterize, and deliver algorithms such as channelizers ... OR a Bachelor's Degree in an Engineering discipline with 3-5 years relevant working Signal ...

Signal Processing Engineer Location: Belmont, CA (hybrid) Employees : Industry : Wireless services Position Reporting To: Principal Engineer Dynamic Bay Area startup is seeking a Signal Processing ...

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... digital filtering, spectral estimation, detection and estimation theory, linear algebra and ...

Signal Processing Engineer

San Diego, CA · On-site

$87K - $157K/yr

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... digital filtering, spectral estimation, detection and estimation theory, linear algebra and ...

The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer ... digital filtering, spectral estimation, detection and estimation theory, linear algebra and ...

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Internship Digital Signal Processing Engineer information

What types of projects and responsibilities can I expect as an internship digital signal processing engineer?

As an Internship Digital Signal Processing Engineer, you will likely work on tasks such as developing and testing algorithms for signal processing, analyzing real-world data, and assisting with the implementation of DSP solutions in hardware or software. Interns often collaborate closely with senior engineers and cross-functional teams to support ongoing projects, troubleshoot issues, and document their findings. This role provides hands-on experience with tools like MATLAB, Python, or C++, and gives exposure to industry-standard practices, offering a valuable foundation for future career growth in DSP and related fields.

What is the difference between Internship Digital Signal Processing Engineer vs Digital Signal Processing Engineer?

AspectInternship Digital Signal Processing EngineerDigital Signal Processing Engineer
CredentialsTypically pursuing or recently completed a relevant degree; no professional certification requiredBachelor's or master's degree in electrical engineering, computer engineering, or related field; professional certifications optional
Work EnvironmentInternship programs, often in research labs or tech companies, with supervised tasksFull-time employment in R&D, product development, or engineering teams
Employer & Industry UsageUsed by companies for training and talent development; industry-wide in electronics, telecom, audio/video processingFull-time role across similar industries, with responsibilities for designing and implementing DSP algorithms

The main difference is that an Internship Digital Signal Processing Engineer is a temporary, entry-level position aimed at gaining experience, while a Digital Signal Processing Engineer is a full-time professional responsible for developing and implementing DSP solutions in various industries.

What are the key skills and qualifications needed to thrive as an internship digital signal processing engineer, and why are they important?

To thrive as an Internship Digital Signal Processing Engineer, a solid background in electrical engineering, mathematics (especially linear algebra and calculus), and signal processing fundamentals is crucial, often supported by relevant coursework or a related degree. Familiarity with programming languages like MATLAB or Python, and tools such as Simulink or LabVIEW, is frequently required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help interns contribute meaningfully to projects. These skills and qualities are essential for developing, analyzing, and optimizing digital signal processing algorithms in collaborative engineering environments.

What is an internship digital signal processing engineer?

Internship digital signal processing (DSP) engineers are students or recent graduates who work under supervision to assist with the design, analysis, and implementation of systems that process digital signals such as audio, video, or sensor data. They typically support teams by developing algorithms, writing code (often in languages like MATLAB, Python, or C), and testing DSP applications in real-world scenarios. These internships provide hands-on experience in applying theoretical concepts from coursework to practical engineering problems, often in industries like telecommunications, audio technology, or medical devices.
What are the most commonly searched types of Digital Signal Processing Engineer jobs in California? The most popular types of Digital Signal Processing Engineer jobs in California are:
What job categories do people searching Internship Digital Signal Processing Engineer jobs in California look for? The top searched job categories for Internship Digital Signal Processing Engineer jobs in California are:
What cities in California are hiring for Internship Digital Signal Processing Engineer jobs? Cities in California with the most Internship Digital Signal Processing Engineer job openings:
Infographic showing various Internship Digital Signal Processing Engineer job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Digital Signal Processing Engineer

CHAOS Industries

El Segundo, CA

$110K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

CHAOS Industries is redefining modern defense with omniscient systems purpose-built for today's realities. Designed and built by top U.S. military veterans and Silicon Valley innovators, CHAOS Industries' products are powered by Coherent Distributed Networks (CDN), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. In a world where technological threats move at unprecedented speed, CHAOS Industries delivers advanced sensing and detection solutions that give the ultimate advantage: time.   

CHAOS Industries was founded in 2022 and has raised $1B in total funding from leading investors including 8VC, Accel, and NEA. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, Seattle, and London. For more information, please visit www.chaosinc.com. 

Role Overview:

  • Support the Systems Engineering design and development of cutting-edge radar capabilities

Responsibilities:

  • Design and develop advanced radar signal processing algorithms for target detection, tracking, and classification
  • Lead the development of new radar capabilities with minimal guidance
  • Optimize algorithms for real-time performance and resource constraints
  • Implement algorithms in software (e.g., C++, Python, MATLAB) and/or hardware (e.g., FPGAs, DSPs)
  • Analyze radar data to evaluate system performance and identify areas for improvement
  • Develop and maintain system simulations and models to support algorithm development and performance evaluation.
  • Design and development of radar modes
  • Contribute to the development of system requirements and specifications
  • Modeling and Simulation of radar systems and sub-systems as well as the signal processing chain
  • Plan and lead field tests and data collection activities
  • Document and present technical findings and progress to leadership
  • Mentor and guide junior engineers
  • Work full-time onsite at our office in Hawthorne, CA

Minimum qualifications:

  • Bachelor's degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
  • 10+ years of experience of radar systems
  • Deep understanding of radar systems and modes
  • Strong understanding of radar principles, signal processing techniques, and algorithms
  • Strong familiarity with programming languages like Python or MATLAB
  • Systems Engineering experience with RF (Radio Frequency) Systems
  • Expertise in digital signal processing (e.g. modulation, filtering, and detection)
  • Expertise in algorithm development
  • Expertise in data analysis
  • Excellent problem-solving and analytical skills
  • Ability to work independently and as part of a multidisciplinary team

Preferred qualifications:

  • Graduate degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
  • Expertise with radar waveform design, matched filtering, doppler processing, and clutter rejection techniques
  • Strong foundation in both sides of the Systems Engineering V
  • Experience with C++

Why CHAOS?

  • Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
  • Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
  • Our Perks: Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code
  • Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
  • Team Growth: 200 employees and counting across 5 global offices
Salary range: $110,000 - $240,000

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.

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