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Statistical Signal Processing Jobs (NOW HIRING)

Anduril Industries

RFML Engineer

Costa Mesa, CA · On-site

$110K - $144K/yr

RF Sensing, Statistical Signal Processing, Wireless Systems (particularly 5G), and Time/Frequency Analysis of Signals. In this role, you will drive the creation and implementation of innovative RFML ...

Apple

HID Algorithms Engineer

Cupertino, CA · On-site

$98K - $133K/yr

Join the HID Sensing and Interaction Algorithms team - an eclectic group with backgrounds in signal and image processing, machine learning, statistics, controls, physics, firmware and software ...

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How much do statistical signal processing jobs pay per year?

As of Aug 21, 2026, the average yearly pay for statistical signal processing in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a statistical signal processing?

A Statistical Signal Processing job involves analyzing signals using probabilistic and statistical methods to extract useful information, reduce noise, and make predictions. Professionals in this field work with algorithms for applications in communications, radar, audio processing, finance, and biomedical engineering. They use tools like Bayesian estimation, Kalman filtering, and spectral analysis to enhance signal interpretation and decision-making. The role often requires expertise in mathematics, programming, and data analysis to develop efficient signal processing techniques.

What are the key skills and qualifications needed to thrive in statistical signal processing?

To thrive in Statistical Signal Processing, you need strong quantitative and analytical abilities, a background in mathematics or electrical engineering, and experience with probability, statistics, and signal processing concepts. Proficiency with programming languages such as MATLAB or Python, as well as familiarity with simulation tools and relevant certifications like Certified Signal Processing Professional (CSPP), is highly valuable. Problem-solving abilities, effective communication, and teamwork skills help you excel in cross-functional project environments. These competencies are crucial for accurately analyzing data, developing robust models, and delivering effective solutions to complex signal processing challenges.

What are some common challenges faced by professionals working in statistical signal processing roles?

One common challenge is managing noisy or incomplete data, which requires advanced statistical techniques to extract meaningful information from real-world signals. Professionals in this field often need to stay updated with rapidly evolving algorithms and technologies, which can demand ongoing learning and adaptation. Additionally, collaborating across interdisciplinary teams—including software developers, engineers, and scientists—requires clear communication of complex concepts. By developing strong analytical and teamwork skills, you can effectively address these challenges and contribute valuable insights to your organization.

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What states have the most Statistical Signal Processing jobs?

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Statistical Signal Processing jobs near you
Infographic showing various Statistical Signal Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

RFML Engineer

Anduril Industries

Costa Mesa, CA • On-site

$110K - $144K/yr

Full-time

Re-posted 19 days ago

Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,816 frontline employees who took The Breakroom Quiz

Job description

ABOUT THE JOB

We are seeking a visionary and technically proficient Radio Frequency Machine Learning (RFML) Operations Lead to lead our advanced research and development initiatives. The ideal candidate will have extensive experience in one or more of the following areas: RF Sensing, Statistical Signal Processing, Wireless Systems (particularly 5G), and Time/Frequency Analysis of Signals. In this role, you will drive the creation and implementation of innovative RFML models and solutions that advance our capabilities in these cutting-edge domains.

WHAT YOU'LL DO

  • Lead and inspire a team of RFML engineers. Develop and execute the strategic vision for integrating machine learning into RF sensing, signal processing, and wireless communication systems.
  • Spearhead the design and development of advanced RFML models for wireless communication applications like RF spectrum sensing, channel equalization and estimation, channel modeling. Innovate and push the boundaries of what's possible in these fields.
  • Provide deep technical expertise in wireless systems, particularly 5G technologies, to inform the development of algorithms and models that enhance system performance maintaining latency and compute budget.
  • Identify and tackle complex challenges in the areas of signal processing and wireless systems using advanced RFML techniques. Lead initiatives to explore and implement novel solutions.
  • Oversee multiple concurrent projects, ensuring they are completed on time and within scope. Allocate resources effectively and manage project risks to achieve desired outcomes.
  • Mentor and develop team members, fostering a culture of continuous learning and technical excellence. Stay up to date with the latest advancements in RFML and related fields to guide the team effectively.

REQUIREMENTS

  • PhD. or master's degree in electrical engineering, Computer Science, or a related field with a focus on RFML, signal processing, or wireless systems.
  • A minimum of 7+ years of experience in the related field.
  • Strong background in wireless communications and digital signal processing.
  • Demonstrated ability to lead and manage a team of engineers, with a track record of successful project delivery.
  • Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Deep understanding of current trends and advancements in RF sensing, statistical signal processing, and wireless systems, particularly 5G.
  • Some travel required.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.
PREFERRED QUALIFICATIONS
  • Prior experience in managing entire RFML engineering lifecycle - from data capture to model development to model training to system testing and optimization.
  • Experience with real-time signal processing, DSP platforms, or mixed-signal embedded systems.
  • Ability to write and / or review production level code (Python, C++) is strongly preferred.
  • Experience with Software Defined Radios.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.

What Anduril employees say

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Benefits

Hours and flexibility

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About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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